1:02:12 Webinar
Discover the Latest in Everpure Innovations
Join us for this special webinar, where you'll meet Everpure's new Global Partner Organization leader, get a behind the scenes look at the new brand from our Chief Marketing Officer, and hear about our latest innovations.
This webinar first aired on March 26, 2026
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Today, data is the lifeblood of every organization. It needs to be instantly accessible to the right person at the right time, and always protected from the moment it's born. And given the significance and scale of AI, your data needs Kontxtual and intelligence so your business can thrive.
So how are you managing your data? Everpure, data management so simple it feels like second nature. Hello, and welcome everyone. Thank you so much for joining us today. I'm Cheryl Hayes, and I will act as your host, throughout this webinar.
We have a lot of great content to get you through, so I'm gonna jump right into the agenda so that you can see what we've got on the lineup. You will first hear from Ricardo Moreno, our new global partner organizational leader, and then you will hear from our CMO, Lynn Lucas. She'll give you a behind-the-scenes look at our, corporate rebrand we just went through,
and what that means to you. And then Quinn and Rajiv will be on from our product teams to walk you through our latest innovations that we've, recently announced. And then, as always, we'll wrap up with a Q&A function, but please send your questions through the chat and the Q&A function as we go, and we'll address those.
And now I am thrilled to introduce you to the new global partner leader, Ricardo Moreno. Welcome, Ricardo. Hey, Cheryl. Thank you. Pleasure to be here. So great to have you. So you're brand new, what, four weeks in? 31 days today. 31 days. Okay.
So it's probably fair to say that most of the partner community has not met you yet. So if you can give just some background of kind of, you know, w- where you came from, where, where, where you live, uh- Yeah you know, and a little bit about what drew you to this role. Well, if I really go back to the roots of where I came from, born and raised in Brazil.
Came to the US about 25 years ago. Lived in the UK a little bit, and now we live in Portland, California. Although I've been spending a lot of time in Santa's Portland, Oregon. You see, it's already mixing up. Spending a lot of time in Santa Clara, California now.
And from a background perspective, really the bulk of my career has been on technology. I've worked for very large public companies. I've worked for startups, companies that are private, on the growth stage. Cloud, on-prem, STaaS. And I'll say the really common theme has been always I've been around, go-to market
roles, and particularly always, working with my passion, partnerships and ecosystems. Wonderful. Well, in I know you've only been here a short time, so don't expect you to have your full, plan baked, but perhaps you can just share I know you've been around a, a, a bit, i- in your short tenure here. What have you seen over the first few weeks, and what observations and themes have sort of
stood out for you? Yeah. I think by far the most impressive thing has been the level of commitment we have, to partnerships. I- it's second to none. It's really is on our DNA and, a- a- and how we operate as a company.
I'm also very, very impressed with the quality of people we have. You know, when I think about what brought me here, right, in so many ways had a lot to do with people that I knew and the people that I met through the process, people that I wanna be with, spend time with, and, and it the quality of the team is just incredible. I've also had a chance to see a number of partners, not, as many as I will be seeing the
next few weeks, but, so many partners on a unsolicited way came and share how much they value the partnership. Another very impressive thing for me has been the, the drive we have and this desire for innovation. You're gonna hear from Lynn later today.
A great example of that, of, even when we were winning and really, really strong, we continue to go for more, and reinvent ourselves. Mm-hmm. Awesome. Well, y- you know, you entered the scene at an interesting time, you know, in the market, right? Mm-hmm.
With global supply, pressures and, you know, we're that every company has been going through. So, you know, again, 31 days in, but, we recently had communicated some pricing updates, back in February, in response to global supply pressures and, you know, we, we have another one, coming up. And so, w- would be remiss if I didn't ask you the question: what can you share with partners
so that they can be prepared? Yeah. Well, we're dealing here with a market that is affecting everyone. What I'm really proud of is how we, Everpure, are dealing with the situation, how we are handling, this whole, change in, in, in reality around us.
And with that, I mean, a few very clear commitments, right? So we're gonna be very transparent in the communications we have with the partners. Uh-A great benefit we have is Evergreen//One, right? So partners can continue to use Evergreen //One to support their clients, you're really locking pricing.
For those that have been benefiting from, Evergreen//Forever Renewals, once again, flat is fair, right? So no impact on pricings there. And really the underlying condition on both of it, or all of it, if you will, it's really, we continue to have the best delivery and lead times in the industry. And at the end of the day, again, even as all of this changes around us, the technology
continues the best one, right? We have the best technology. We enable clients to be much more efficient and effective how to do business when they use our technology. So, yeah, I know it's a lot we're all navigating through, but it's a reality.
And again, by making this very clear, very transparent, we wanna be there with you and facilitate as much as we can. Wonderful. Appreciate the transparency, Ricardo. All right. Well, let's transition back to, you know, your thoughts and visions about the role.
You know, as we wrap up here, you know, can you p- share any, final thoughts, you know, as we step into this next, chapter together on what you're, what you envision for the ecosystem? Yeah. A- and as I said before, right, we're still building the plan, benefiting from a lot of the strong foundation we'd had here, but a few
things are very clear. First, a, a fundamental belief that I have is we have to earn the partner business every day. So it never ends. We always need to be continue to work to be better at earning that business. We're also gonna be working really hard to make sure that everything we
do is very partner-centric. As I said, the commitment here to partnership is second to none, and it's important that we look into everything that we do, every 1touch point we have with the market, is that centric? Meaning, are we making it easier for the partner to do business with us? Are we making the partner self-sufficient?
And are we working in a way where we can maximize the value for both of us by really using everything that the partners want to bring to the table? Another very important part is, as we evolve from storage or expand from storage to data management, the opportunities just multiply, right? So we have so much more that we can be doing together.
And as we do there, we also wanna leverage what partners can do in this new expanded environment. Partners have lots of access that can give us, the op- opportunity to work with different personas that we didn't have a chance to access before. Partners really have the cap- capability to really make our offer a much more
comprehensive offer. And then with that, maybe my final point it is, we wanna develop a very integrated ecosystem. The more we can bring, not just us a, a partner, but us and the integrated group of partners, we are much, much stronger. Wonderful. Well, Ricardo, I can't tell you how much I not
only appreciate you being here, but just being here at Everpure. You know, just your, your passion for, for the partners is, y- you, is genuine. And, I can tell you all that, you know, I've been in this business for a long time and, you know, just the moment that Ricardo was announced, even before he joined, we were trading emails, he was reviewing things.
He was, you know, had a take, and so he's jumped in with both feet here and just super passionate about the partners, and it's, it's very authentic and, and wonderful to see. And I'm just really excited about how you're gonna expand with your vision. Th- thank you, Cheryl. I'm, I'm super happy to be here. Pumped. We have an amazing group of partners.
We have an amazing company, a tremendous foundation, and really, hey, just a chance to continue to evolve that, do more, right? It's a pleasure. It's been a pleasure to partner with you as well, right? And we continue to do many more of those. So thank you. Wonderful.
All right. Okay, well, we will transition, to our CMO, Lynn Lucas. Lynn, that might be a tough act to follow, but you have a whole, rebrand on your side, to, to talk about. But, thank you so much for joining us here. Well, thank you, Cheryl, and I wanna extend my, warm welcome to Ricardo.
Very excited to partner with you and bring out so many new things to our And, thank you for having me on. It is a real pleasure to address all our partners today. Yeah. And I've had the pleasure of working with Lynn for some time. You know, this isn't our first company
together, and I can also share, you know, I love about, Lynn is her passion as well the partner community. I know you've spent a lot of time with our partner CMOs out there, and, again, it's very near and dear to your heart. So again, appreciate you, not only being on here, but at, Everpure. So talk about, you know, the rebrand.
You know? So again, give us a little bit of the inside baseball of, you know, what was the strategic factors that, that led to this and, you know, what, what were the perceptions that we were trying to do? Like, th- this wasn't just a, you know, cosmetic update, right? We were trying to change some perceptions.
So h- how about share that with us? Yes. I'm happy to do so. And, and the reference to inside baseball is appropriate. I don't know how many of the partners know this, but our founder, Coz, is a huge baseball fan.
And it really started with him and our CEO, Charlie, as well as our CTO, Rob, more than a year ago. And w- we have been, the leaders in storage and continue to be the leaders in storage, but expanding into data management now for several years. And as we do so, and that creates many new opportunities for our partners, we have been
hearing feedback, not just from you, but also from our own sales team, that sometimes we were showing up too much the same as some of the others that are in the industry that are really just focused on that core storage. And no one stands out in a sea of sameness, and Everpure has never been one to beThe same as everyone else.
Certainly not in our tech, and absolutely we didn't want that in our marketing. So we began that dialogue, and I will say it was led by Kaz, Charlie, myself. And while we were looking at just how we showed up visually, really Kaz and Charlie challenged us to also think about the company's name. And the reason for that was that in some instances, as we
approach more senior level IT and even business leaders who are increasingly really focused on data and data management, our name with the word Storage in it might have been limiting to you, our partners, and our sales organization in maybe getting those appointments in those meetings. Mm-hmm. And so I'm here to tell you it was a very
strategic business decision. It came from our founder, it came from our CEO, and it's aligned with our move and expand, as Ricardo said, into data management. Now, does that mean since we, you know, this is potentially is a reflection that moving away from storage?
Absolutely not. And we wanna make sure that that is to our partner community. This is an expansion. We are fully committed to the storage market. You can hear Charlie talk about that as well on our latest earnings.
We, as an organization, invest more in R&D in storage and the storage platform than any combination of the competitors out in the market today. And when I say that, it's not as a it is actually this year in terms of total dollars. So that has always been, our passion is to innovate in this area.
It is not changing. We are not moving away from it. We are expanding into data management. And with that, we believe giving you, our partner community, incredible opportunities to expand your business with us.
So you, you've described a bit about, and talked to us about Everpure, h- that name and, you know, it's helping us, get that data management, you know, and be, be known for that, particularly as we're in an AI market. You know, we recent- well, not so recent anymore, introduced our Enterprise Data cloud, story and vision.
So can you talk about how that, fits and how, how does that position us in the market? Yeah. That, that's a, that's a great question. So yes, we introduced, the Enterprise Data Cloud, publicly last year at our Pure//Accelerate conference, and so many of you joined us, whether that be in Vegas or on the road at our roadshows, and it was wonderful to have you
there with us, talking about the Enterprise Data Cloud. Let me talk about what that is for a minute and what it uniquely does for customers in this market. As we've been talking about, I'm sure here in the webinar is experiencing what's going on with AI and how it's disrupting, all business processes, and it's really
bringing to the forefront the challenges of managing data. AI is only as good as the data that it's using to provide the right, information from it. And so the Enterprise Data Cloud, we introduced that to help customers better unify and manage their data.
And so what do I mean by that? Well, the Enterprise Data Cloud begins with a unified data plane, which is on-prem, or in the cloud, and it covers block, file, and object. But then we've added uniquely an intelligent control plane that we call Fusion, and that gives organizations the ability to really manage their data as a virtual
cloud of data and apply policy and manage it very intelligently. And all of this is underpinned with our unique Evergreen architecture. It can be consumed as a service through Evergreen//One, and it's built in with all the cyber resilience that all organizations need today. And so the Ever- the Enterprise Data Cloud, is really positioned to help
customers in this era of AI to manage, control, and provide that, policy-driven through automation in their data, freeing up their teams to drive more business outcomes. And maybe let me touch a little bit on how we got to Everpure, 'cause hopefully what this audience sees is that we've brought the equity of Pure from Pure Storage
with the equity of Evergreen, our unique architecture and, subscription model, and that is exactly how we arrived at Everpure, bringing, those two wonderful, concepts and names together. Yeah, and I love that, that, you know, Everpure isn't just a name. You know, you coulda just picked a random name and put a lot of, marketing
to stick. But I love that it actually, has meaning, for kinda where we've been and where we're going, in the, in the, in the same name. So love that.Yeah, and that's absolutely right. I, I think, for our partners who I know so many of them have actually, supported this, and see that, we have a wonderful fan group of
customers, and those of you in the partner organization, that have loved Pure Storage. And our 84 NPS is a testament, to that, and our partners play a big part in that, so thank you for that. Everpure is such a recognizable set of terms for our existing audience. And now what we're doing as we build to the future and add and reach into more senior
levels, whether that be a CIO or maybe even a chief data officer in the future, that brand equity in Everpure, with them together. And maybe, Cheryl, let me, talk a little bit because you mentioned the future. Part of what we just did during this launch was announce the acquisition of a company called 1touch.
And some of you may be wondering a little bit about how that relates, to where we're So 1touch, a fabulous, company, and they have been known, for what is called, data security posture management and really helping leading organizations in finance, government, other areas really manage, the security of their data.
And we are very pleased, that they have those capabilities which we can bring into our portfolio around cyber resilience. However, what we also see, is that they bring incredible Kontxtual about the data, so data discovery and data context. And that's where you'll see us going in the future, with that technology
helping expand what we're doing in data management. Because again, back to AI, AI is only as good as the data that it's using, and you need context about that data. Is it the right data? Is it the current data, for AI really to provide the business outcomes that
organizations are looking for? So I wanna put this in as a plug to have all of our partners join us, at Accelerate, where I'm sure you'll be hearing more from, our executives about how we will be building this into our platform going forward. Wonderful. All right.
Well, we've covered a lot of the what and why. You know, it, would not be a marketing section if we didn't talk about the how. We're going to market, with some visuals. You know, gotta have our visuals. But super exciting about what a significant global effort this is.
And so I'd love for you to walk through our, our global partners of what this looks like and then also, you know, what early signals you're seeing as to how this Yes, and that is something I'm so proud of. Obviously, we are a global business. We have partners around the globe, and so this was a very strong global launch.
What I hope some of the partners that are watching recognize here is that there's no English on this slide. Doing that on purpose because I think so many, US-headquartered companies would But we really made an effort, to launch, in all of our core markets at the same time to give you, our partners, the benefit of that air cover.
So, a big shout-out again to my marketing and our IT teams around the globe that did that. And this now, has continued into how are we activating this for you around the globe. So we have a global campaign that is out now in, excuse me, 13 countries around the globe, five different languages, where we are introducing Everpure to your customers, your existing
customers, and we're introducing Everpure to new organizations with those new titles like that CIO, CTO, CDO, so that they begin to understand the Everpure brand. And we did some fabulous work to create air cover for you around the globe.
This is just a small selection of top-tier industry press and analysts that commented on the evolution and really reinforced what, we were saying, which is this is a strategic evolution. This is not marketing, repainting, or doing a cosmetic change. I mean, look at the, the brands here, Wall Street Journal, Fast Com- Company, Diginomica,
so many more. I can tell you, as of this recording, there are globally over 300 top-tier outlets that have covered, our move to Everpure, the acquisition of 1touch, and this is giving you some fantastic air cover in your markets. Wonderful. Well, thank you so much, Lynn.
This has, been It, it's just been such an incredible effort. And again, it's exciting to see. You know, we were Just had our sales kickoff recently and, and met with a partners, and just the response from the partners and the customers has been amazing. And, you know, just being a part of it myself, has been really exciting, you
forward in this new chapter.Yes, and if I would just close with three asks that I can have of the partner community, they would be, one, please, share on your own social and re-post ours or create your own and let the, your customer base know about, Everpure. Second, please work, with your marketing, organization to update your
website and other relevant materials. We have a fabulous set of materials available on our Partner Central to help your marketing teams do that. And third, please use this as an opportunity to go re-engage with both, your existing, now Everpure customers, but maybe also to knock on the door of those
that haven't had the experience with us yet. We're finding that this is really opening up fabulous new conversations for all of our partners, and we would love to, have you do that. So thank you again, Cheryl. Yeah. So appreciate being on today.
Yeah, absolutely. Thank you, Lynn. Well, you have a lot of reasons to go back to your customers based on what and what Lynn Lucas just shared. And if that weren't enough, you also have a whole slew of product in- innovations, and so for this next part of the webinar, we're gonna dive into our products and solutions.
So with that, I am very thankful to welcome Quinn to tell you all about Active Cluster for File. Hello. My name's Quinn Summers. I'm a principal product manager here at Everpure, and, we're extremely proud to introduce, ActiveCluster for File. This is our policy-driven autonomous workload availability solution that operates in a
fleet-wide app to data paradigm. Those are a whole lot of new words that some of you may not have heard before, s- step through what this means. So first of all, ActiveCluster for File, it's extraordinarily simple in the setup, to, to set up, right? And it's an easy policy-driven, standards-based
way for deploying workloads that have high availability or business continuity requirements. It provides continuous access via NFS V3 or NFS 4.1 or SMB2 or SMB3 with continuous available shares, providing your mission-critical applications continuous data access regardless of what is happening on their underlying hardware.
It has fleet-wide mobility. It allows your in, datasets to, to be managed via policy and to migrate across Fusion fleet, either, up the hardware sort of platform line if there's workloads that need more performance than the current hardware can, perform, or potentially during w- product life cycle management where a workload becomes not that popular and you want to move it down into
maybe a more efficient, controller. This also, reflects, any array or any time, like cloud-based operations. You're no longer tied into a hardware-based model that we see very common across, legacy environments. And on top of this, why we're saying this is delivering by fleet-wide app to data solution
is really about talking about managing data via policies at scale rather than managing individual hardware components. And so what do I mean by legacy? Well, legacy is data to hardware. So 30 years ago, some of our competition were really stuck in this paradigm.
You would only have static point to point architectures. If you were deploying a mirroring solution, you could only take a or, a set of aggregates or RAID groups and mirror these to a similar geometry, s- you know, system out there and not be able to move it anywhere else. The failover, failback operations were tend, tend to be manual or 1touch.
They had complexity that was, not standardized across the entire org, knowledge of individual, deployments was necessary to make that more risk-free. And so that's what we would call a pre- a pre-cloud operating model, where your knowledge of the hardware is intimately required to deliver, you know, what the business expects. And so also the w- the end result of this is
that you have silos of capacity or silos of performance that are unevenly utilized across your entire heterogeneous sort of environment, and it's very difficult environment to balance those, either via policy or even manually. And so this is where Everpure is addressing that fundamental challenge, right? That high availability has changed.
It's no longer about does this controller fail over to this what are my business requirements around that application dataset? Not only around business continuity, but throughput or latency targets, maybe other requirements around business security or auditing. And so, the, rather than having file data constrained to hardware configurations, the,
Everpure is, you know, again, allowing people to manage data via policies, policy-based management. The, if we look at sort of some of the visuals that we see from legacy, vendors that, that you have these file systems constrained to, to particular regions, right? On these arrays.
They can only file over to one other array, leaving, silos of unequal capacity utilization or unequal performance. And you have this sometimes mismatch in granularity between performance and capacity and what your application needs. If your online transactional database requires extraordinarily low latency, you know, storage for it of huge amounts of ninety percent of your install base fails over
the same time, that's the wrong granularity to have efficient business operations. So if you swatch over to the If you switch over to the modern side, on the right-hand side with Everpure, we're looking at now not a file system riding on top of hardware. It's really you're dictating via natural language what the business requirements are around this dataset and allowing a con- intelligent control plane Fusion to determine
where to provision that workload, where to move that workload to sustain its, service level objectives. It, you can move it anywhere within your fleet. You're not limited in terms of only controllers or individual arrays that you can move to. As long as you have Fusion Fleet as connected, you, you have a lot of flexibility.
And this is policy-driven, not necessarily manual, but dictated by policies that you already form, right? So you have a consistent way of managing data across environments that have petabytes and petabytes and petabytes of unstructured data.Um, I wanna end with sort of a vision of what that looks like, right? So if we have autonomous, operations driven by that intelligent control
either sorting where your workloads, go with service-level objectives, or SLAs. You know, they are either saying, "This is my IOPS that I need," or, "The bandwidth I need. This is my capacity. This is also my business continuity policies. Do I need RTO zero and RPO zero?" And then you let Fusion figure it out, right?
Intelligent control plane looks across all of your different arrays that you've deployed and creates that workload or mirrors it or stretches it accordingly to, to your policy. And you'll see that with ActiveCluster for Volumes, which was a predecessor to Active Cluster for Files, we already support, different types of modality deploying on the edge or on-prem or even one side of the Active Cluster for Volumes being, you know, in the
cloud as well through our Hyperscalers. With that being said, I also wanna transition into one more area. So if you'd imagine that product life cy- cycle sort of scenario moving, you know, application data workloads as it become more popular into higher end controllers or potentially, you know, moving them for cost savings into a more, you know, efficient
storage, from an operational perspective. We are also introducing or proud to talk about our XL 190, our R5, right? This is our newest, highest flagship product. This is, delivering, millions and millions and millions of, IOPS, under 100 microseconds, right?
This is, like a 70% reduction from what we saw from our prior flagship product, the XL 170. And you may have known that the prior XL 170s also had that direct memory well, that, you'll see now we have an upgrade path for those, you know, to, to unlock that caching capability that they may have been accustomed to before. And so for, OLTP databases, for, out there that are looking for
low, highest performance, ultra-low latency reads, we have the XL 190. It also comes within a turbo mode, and this is something relatively brand new in which you can drive throughput through both, you know, a- a- active controllers at once. And we believe this is essential for customers building larger, business models off of the XL 190, whether you're a service provider or have a large enterprise customer looking to take
care of advantage of our secure multi-tenancy offerings and deploy workloads, this is a phenomenal new target available for you. With that being said, let me-- I'd like to, transition over into Rajiv, to talk about what we're doing on the AI side. All right. Well, thanks, Quinn.
I'll just jump in right before we go to, to Rajiv. But, yeah, this seems like a kind of a big deal, Quinn. What, thirty years in the making, did you say, that people have been on Legacy? Yeah, at least. Yes. And, and so we've been Well, ActiveCluster
for, Volumes came out, I think, in 2017, and, we're extremely proud to add, new protocol support for this on top of that technology that we changed the, the world several years ago with. All right. Well, thank you so much for being with us today, and I'm sure we'll have a lot of questions.
For those of you who haven't put your questions into chat or used the Q&A feature, we, after Rajiv, we will move to an Q&A session, so we'd love to get your questions on either answered live or, through the chat function. So again, thank you, Quinn, and, we will move on over to Rajiv to tell us all about AI. Thank you, Cheryl, and, Quinn.
Learned a lot about ActiveCluster. Hey, folks. Really, really, looking forward to unpack not only why Everpure matters in all your AI conversations, but also share a little bit about what we announced at NVIDIA's, GTC event that happened last week. So let's get right into it.
You know, before we talk about AI factories, I just wanna kinda lay the groundwork of, you know, the AI workload in and off of itself, right? And talk about, you know, why it's very important for customers to not just treat AI like any other workload, right? It's all about actually rethinking your infrastructure, when it comes to, you know,
making sure that the infrastructure is, you know, not, not traditional, right, and, and it's able to actually not just keep up, but turbocharge your AI applications, right? The needs of the AI applications are quite different, right? They are very much like a tier one workload. You have to think about the SLAs.
You have to think about, you know, what are your needs when you're in pilot, when you're, running production, grade AI/ML initiatives. You have to think about resiliency. You have to think about performance and also think about all the different complexities involved in the operational workflows, and the ability of the underlying computer and data
platforms to be able to scale to the needs of your AI solutions, right? And that actually makes, it quite complicated, both from a getting the best ROI out of your AI investments, but also for the teams that are specifically responsible for bringing up that infrastructure, maintaining and operating it. It, it is extremely challenging and time-consuming.
Given all those perspectives, what we've found is, you know, seventy to eighty-five percent of AI initiatives actually fail due to infrastructure, not being able to scale, right? Data teams are actually wasting a lot of time in preparing the data for the AI readiness, right? And, and these models, because the data is in several different formats, it's in several
different places, and it's not necessarily ready, for these models. And then on top of that, you have the ROI and, and TCO of, an extremely expensive GPU infrastructure, that is waiting to be proven in your organization. So this causes the fundamental need to rethink, how an AI factory and an AI an enterprise needs to be thought through, right?
So before we talk about Everpure, let me talk about what successful AI deployments and use cases mean, right? It typically corners around-Four areas or use cases, I would say, right? So the goal of every AI team is typically to, you know, connect your data infrastructure to AI models, right? Prepare that data for those AI models.
Make sure that there's enough training done, on these, data sets and, and these sets so that the ultimate goal and the goldmine of these AI initiatives, which is inference, right, the final use case, is, spot on, and it's giving you the right business outcomes no matter what your AI initiatives are. And so associated with each of these use cases, you have four unique demands
and four unique goals, right? And, and so one would think, you know, your data is typically in block, file or object, and you need sort of this unified platform to be able to achieve that connect use case, right? That's one way to think about it.
And then typically the prepare phase involves, okay, how can I make my or a video, how can I make it ready for AI models, right? And so you've got to go through the that are typically known as ingest, index, chunk, embedding to make sure it's all clean and secure, it's, it's, it's ready for those models, right? And then you move to training where, you know,
you're kind of doing these extremely parallel IO, back and forth. Your bandwidth needs are insane, and you need your GPUs to be able to scale a-and your data to be able to, you know, feed those hungry GPUs to perform through training. And so you're, you're really, in, in need in that phase to have maximum throughput and performance.
And, and, you know, I'll go into kinda how Pure helps that real quick. Inference, the last stage, is the you know, you wanna extract answers, want your models to be able to agents to be able to give, the right tokens of intelligence, right? And extract that from the underlying data.
So performance really matters here, and this is where the tier one piece of the application, comes, handy, when you think through the architecture differently, of AI infrastructure. So some millisecond, runtimes are what most teams are shooting for, keeping as a goal, for the inference use case. So now let me tell you, you know, why Pure matters, right? Our Pure Storage platform is actually uniquely
differentiated here, right? We are able to not just help you with one use case in a good, solid, strong way. We're actually able to help you with all four use cases across the board through the power of the unified data platform that Pure delivers. We can actually deliver to all those, types of file, object, block, storage needs no matter
where they are in the cloud or on-prem, on Pure infrastructure or not. Right? And also make sure that the classic tier one app requirements such as performance, resiliency, data governance are not compromised, right? The Pure Storage platform has got you no matter what stage or use case of AI your enterprise, customers are into, right?
We also have the power of our integrated AI solutions for our partnerships with NVIDIA, Cisco, and now, Supermicro. I'll talk about that a little bit. As well as the new, FlashBlade//EXA solution that we announced last year, which all kind of bring together unique solutions that are full stack reference architectures or, or, or, you know, are ready-to-buy, solutions that you can,
you know, use for enterprise AI use cases. And so the three ones that we'll talk about, if you see anyone from Pure talk about our AI portfolio will be, the FlashStack for AI, which is our partnership with Cisco, to bring in a full stack AI factory to customers. We also announced Data Stream last year, you know, the access.
At GDC, actually, we announced the beta version of it, so we're making progress to make it more real and, more, closer to GA later this year. This helps automate all of the data preparation phases we just talked about. And then FlashBlade//EXA, is our large AI training and in- inference platform. We talk a lot about that.
There's some good customer stories that we'll also share and unpack, in this presentation around FlashBlade//EXA. So with that, let me get to the meat of the AI conversation. What did we announce at GDC last week, right? So the first and foremost industry-changing announcement that we've brought to the table
is our flexible SLA-backed consumption model for scale AI customers. What do I mean by that? Well, customers who love Evergreen//One can now leverage it for the FlashBlade, EXA platform and for your most demanding training workloads, large scale enterprise AI workloads, and get that SLA-backed guarantee for the performance that is needed,
for these workloads, using Evergreen. So we give customers now the choice of, you know, consuming as much AI as they want at their cost and terms without compromising the performance. Pure is Pure is uniquely differentiated to deliver this, to customers. So, look out for more in that area.
But this is a first of many Evergreen announcements that we'll make, to cover the entire AI portfolio, from Pure. The second, piece of the announcement is all of our industry-leading benchmarks. Our teams have been working very hard, to fine-tune, our infrastructure and, meet the needs of these demanding AI workloads.
And we're very happy and proud to talk about, how we are now ranked as number one in spec storage, a super important, performance benchmark for AI workloads, where number, we've been able to, deliver two X AI/ML performance, compared to the nearest, competitor.Uh, this is again super important, for, AI/ML workloads. And then seven point two million IOPS is what we've been able to deliver for the IOfi
hundred benchmarks. Again, the teams have been working night and day, so thanks to all the AI teams at Everpure, and to the customers who've actually challenged us to meet these needs and, continue redefining, you know, what the industry needs, to make progress in the AI landscape. Last and not the, the least by any means, I'll kind of do a roundup of the innovations we
announced at GDC and the partnerships, right? Data Stream goes into GA, like I said earlier, later this year. But the beta program has just been announced, so if partners and customers a hand on Data Stream, you could go on pure.ai or, or, you know, Everpure's and enroll, right away and, and get access to the beta program of Data Stream and see what
it's like to automate the data preparation workflows. We also announced a certification, separately on FlashBlade//EXA, which is the NVIDIA Foundation certification, right? And for customers who absolutely need, NVIDIA's guidelines and, and, you know, certifications to procure their infrastructure will now be able to consume FlashBlade//EXA.
Again, the customers who we'll talk about have already deployed FlashBlade//EXA in production, so it's a pretty exciting time for us to extend that to, to other customers in the world. Lastly, we also have a partnership announcement now around the AI data platform with Supermicro. So we're joining hands, with many vendors in the industry, and the ecosystem to give
customers choices, and the Supermicro co-engineering effort, with Everpure is just, is just another example of that. Obviously NVIDIA is a key partner there in the AI/ML stack. It's well-defined by them. So Supermicro delivers the compute stack, and then, Everpure delivers the storage stack in
this, AI/ML data platform solution. So with that, over to you, Cheryl. That was all from, the AI world. All right. Well, thank you. That sounds, a-again, really exciting.
You know, so it I guess we're gonna go into Q&A, so I'll, I'll hold my we are gonna wrap up here and go into the Q&A section. So maybe I can just stick with you for a second, Rajit. So you mentioned WEKA, we announced all of this at NVIDIA GTC. Can you just share a little bit about what the reaction was?
Was there any particular area that people got excited about that partners might wanna key into when they're talking to customers? For sure. I think the excitement around the Evergreen model and, and the flexibility that we're bringing to AI customers was received really well.
Cheryl, I think Evergreen//One is its own brand, and customers know why Everpure is differentiated in giving these SLA-backed guarantees for performance. And so I think enterprises are super excited to get that guarantee for AI especially now more than ever, because every vendor is facing supply shortages, right, when it comes to AI infrastructure and the components.
So to have that guarantee and, the cost lock-in and the optionality to actually consume as much as you need at your, SLA-backed performance and, and, and also guaranteed cost is a win-win for our customers. Other than that, I think, just showing more and more customer momentum, has been, I think, quite exciting for customers, in the AI/the AI/ML space.
Yeah. And the, the price protection's definitely, you know, top of mind, and I'm seeing a lot of questions on our pricing update that we'll, we'll take some of those questions as well. All right. Well, you talked also about, within NVIDIA AI factories and our AI data platform, what are Can you share just a little bit more
information of how Everpure, you know, looks inside that architecture? For sure. I think we have, always been a strong partner with NVIDIA and delivered a lot of solutions over the years since 2018. I've, you know, even when I was not at Pure, I've always followed, you know, those certified NVIDIA solutions with Everpure.
Back then, we had the DGX Superpod, the Basepod solutions, which are still doing really well. Most recently, Cheryl, we've now, announced two major efforts, right? So a big partnership with Cisco to bring FlashStack for AI, the full stack AI factory from, jointly delivered by Cisco and Everpure.
This solution can be sold by both Pure sellers and, Everpure sellers and Cisco sellers, but they meet the needs of what, you know, the FlashStack solution already means, and is known for, right? So we had the FlashStack in the market with five thousand customers who are running enterprise and virtualization workloads on that full stack from both these companies.
And to extend that to, AI customers just helps NVIDIA get one more partner out there. So from a customer perspective, you know, they can get to work with, you know, the best of Cisco and the best of Everpure value, to build an AI factory, right? So that's number one in terms of newness that we just announced in the last six months, and Cisco's been a great partner there.
We use their validated design, which, you know, a lot of enterprises trust. The other one related to that, we just talked about the Supermicro announcement. That's be-- another, AI data platform, which is a different type of architecture, right? So AI data platform, think about it as more, for edge use cases where customers wanna build, you know, the, the, the GPU-accelerated storage and really bring AI outcomes directly
where the AI use case is. AI factory is kinda rethinking the entire gamut of, you know, workloads. So in many ways, you can kinda think of both of these as-Also complimentary to each other, and the AI DP can also be part of an AI factory, which is much bigger. So, in addition to those two partnership efforts, which again, both of them are NVIDIA,
designs that we've partnered on with not just them but, other compute partners like Cisco and Supermicro. Everpure is also bringing to market a Data Stream, which was announced last year as a concept. It was an early preview.
A few customers actually raised their hands and told us, "Hey, we'll help you define this architecture," and we're now bringing that into beta. And, very soon customers will be able to try that, with full availability later in the year, Sheila. All right. Well, yeah, and so again, just, out of that
then, what, what has the adoption been for Everpure-powered AI factories at, at this stage? That's a very good question, and, you know, we, we have certainly seen a adoption over the last year. We had many enterprise customers adopting Everpure's AI solutions, but the uptake last
year has just been super encouraging. So GPU-as-a-service providers, cloud providers, tech providers, think, you know, global providers such as BeyondPL, Options IT, and STN, all of these three have deployed Everpure at massive scale, right? And, and the one that I'm really proud of, is the most recent win, which is the first Flash
blade exit deployment, which, is, with STN. This is a customer on the West Coast, GPU cloud provider, by bi- by nature. But they've been able to deploy zero latency and been able to scale to hundred and ninety-two nodes, which is insane, and, actually deliver twenty percent faster model training using Everpure's architecture.
The throughput delivered is hundred GB/s, I'm told. The CEO, has actually been talking, publicly, and so we also have a press release where they've mentioned these, milestones that they've achieved with the Everpure platform. Options IT, certainly a big Everpure customer, for all workloads, is, happy to now, deliver that Evergreen//One, model, to their customers, right?
And so they've been a pilot, customer in, in, in deploying, the Evergreen//One for AI, workloads, and delivering that GPU-as-a-cloud service, including the underlying, data platform needs through Everpure. BeyondPL, is also a very, good use case. We've done many webinars with them, and, and talks.
But their cost, their use case is delivering this, like, super cool 1.2 power usage effectiveness. This is an unmatched energy efficiency story, that, we bring together, in their AI factory. Again, they're a GPU-as-a-cloud service provider, so super, super cool win, in Europe.
All right. Well, again, very exciting stuff, Rajiv, and, I think, I think we've, we've gotten through all the questions for, for you. So I will trans- go over to you, Quinn, on ActiveCluster. So just a couple questions for you. One, pretty straightforward, just asking how long the failover takes, and what does that
look like from a client, experience perspective? Yeah. That, that's a great question. So, so in the context of a site-wide disaster, right, the, we'd see fai- failover times, for continuing storage IO, happen under ten seconds, and that's usually five or six times less than the default client host timeout values.
So even if you don't, don't do anything special, there'd be no app-aware that a failover has happened. The, the application will reissue IOs. This is why retrying is important. Once the other side becomes active to responding, it will start processing those IOPS.
And what this means from an application administrator's viewpoint is for a site-wide failure, at least from a storage services perspective, they don't have to do anything. Like the storage services will come back online with all the network configuration information. We're maintaining, locks, you know, the stretched file system or a mirrored file
system as well. And so even if you have operations that are triggered by like File Explorer, copy operations, the end user doesn't have to do that again if there's a site-wide disaster during that period. Once one side takes over, that file copy operation will automatically resume on its own because we support continuously
shares as well, in, in V1. So very fast is, is the quick answer. Yep, I like that, very fast. Yes. And I think you said five times faster than anything closest to it? The automatic detection, yeah.
Can we say that? It is very similar to the controller failover science. We see that, that sort of, that, that boundary though also be somewhat practical. So even other architectures out there have some of these, these areas. If you're mirroring data across several hundred kilometers or several hundred miles,
what you don't wanna do necessarily is artificially sort of swap back and forth over a potentially lossy network. And so within these long, you know, distributed TCP/IP networks, we don't want the intermittent network connection or a flapping network to cause a storage infrastructure failover. So we could do it faster than 10 seconds, but
we wanna make sure that the network is, is healthy, so yeah. That's fair. That's fair. All right. Well, also, just maybe bottom line it for the partners, you know, we talked about the, the obviously we got the value for the end customer, that we're all after good customer outcomes.
But in terms of the partners, what, what's in it for them? You know- Sure what is this, what does this bring to, to them and their experience?Yeah. So, so it gives you more tools in your toolbox, right? So if you are a partner who have already deployed to great success, ActiveCluster with Block, like with volumes hosting, you know, your, your mission-critical applications for,
host-based access via Fibre Channel or NVMe over TCP/IP or whatnot, this very similar paradigm, right? You can, automatically extend business continuity functions to file-based workloads on the same FlashArray. The ease of utility, like setting up a Pure Fusion preset is a couple of seconds.
Configuring your Pure Fusion array, again, a couple of seconds. We have our guided workflows for Active Cluster from a brand-new greenfield array into a, like a business continuity solution, policy-driven. We can show you end-to-end the demo within, like, under 10 minutes, and that's huge, right? So if your professional service team or your install team as a, as a system integrator is
confined by the amount of time they can at a customer's location, the ability to set these things up in, in a matter of minutes means that you can scale farther than potentially you've, you've had before, right, for these type of deployments. I also think that it's also a, a phenomenal way to start talking about our Enterprise Data cloud, right?
The vision of sort of autonomous policy-driven storage driven, you know, by business value using language, you know, that, that our business owners use rather than technical jargon terms that don't match. And ActiveCluster for file or for, you know, volumes, it, yes, it's a business continuity solution, but that's only one aspect of it, right?
That ability to be mobile across your Pure Fusion fleet, to be dynamically placed from that intelligent control plane. Start selling that vision for your customers to have a better return on know, in the future i-if they deploy right now. That, that business agility, that sort of cloud-like operating models at on-prem-like,
you know, efficiency, I think will be really, really attractive. And if you partner with your customers to help them build that EDC. Yeah. And then given that there's so much on legacy, today, you know, does this, does this bring them into new opportunities that they couldn't have been-- they couldn't compete in before or give better, you know, new
know, customers weren't able to achieve, than what, than what was previously out there? Qui- Yes, quite po-possibly, and especially customers with, with high availability requirements for, for RTO zero or RPO zero file-based solutions. This opens up new opportunities to solve that with other Pure products. A-a-absolutely. Um- All right.
All right. Well, thank you, Quinn. re- again, really appreciate your time. I think we've got a couple, time for a couple more questions, and, definitely address some of the pricing questions. Some of those we'll answer online directly, for some of the really detailed, pieces.
But I, looks like there's a lot of questions just around the quoting process. So, we do have an FAQ, that is on our Partner Central, and again, your Partner Central is equipped with a lot of information on the very specific, price increases that are across the product line. But I can share that, you know, we do, do have increases across, across our, our,
product line, but they're different. So again, it'd be best to work with your partner manager directly or, again, you can ask questions specifically in our, Q&A, function, and we may be able to address some of those here. But in terms of your quotes, so approved quotes, remain valid until their current
expiration date or the end of our quarter, which is May 1st. And so whichever is sooner, that's when, they-- So they're valid, but then will expire at that point. All quotes c-created between now and March 30th will be set to expire on May 1st. So essentially, you know, that new pricing will go into effect after that date.
So on March 30, 30th, all draft quotes will expire, and so after that date, they will need to be recreated, under the new pricing framework. So again, if you have anything that's in flight with your, partner manager, you wanna reach out right away if, if n- you haven't already. And then, any new quotes after March 30th, again, will be using updated list prices and
have a 30-day validity window, and, we hope to bring that back to 60 days ear-early next quarter. So that, that's the main pieces that, again, most people are asking questions on. Again, and as well as the specific what is the changes to each, product line, and again, that would be best, for a direct conversation with your, partner manager.
Okay. So with that, we are gonna wrap up this partner webinar. And, if, a-again, if-- Just wanna thank you all for your time. Really appreciate it. Had a lot of great content, I hope, for you today with introducing our new partner leader,
Ricardo, and going through the brand refresh with us with, with Lynn and a lot of exciting, innovations, and we have more to come. And, so if I can leave you with, a thought around, Pure, Everpure Accelerate, coming up in June. You should have all seen, invites for that.
Registration is open. We're preparing agendas for you. We're-- I've got a lot of, new, exciting announcements to talk and a lot of the things we talked about here that we will go into more detail in, at, Pure//Accelerate, and we will have a specific Partner Central for you.
So we hope that you will join us, for that. And, with that, I will close us out. Thank you.
Cheryl Hayes
VP, Growth Marketing, Everpure
Ricardo Moreno
VP, Global Partner Organization, Everpure
Lynn Lucas
Chief Marketing Officer, Everpure
Quinn Summers
Principal Product Manager, Everpure
Rajiv Thakkar
Director, Product Marketing, Everpure
Join us for this special webinar, where you'll meet Everpure's new Global Partner Organization leader, get a behind the scenes look at the new brand from our Chief Marketing Officer, and hear about our latest innovations. We'll also share advanced notice of an upcoming pricing change.
You’ll learn about:
- Everpure’s promise to continue raising the standard for both storage and data management.
- Our new VP, Global Partner Organization, Ricardo Moreno, and his vision to scale our partner-led business.
- A preview of our upcoming price adjustments and how to be equipped for seamless customer conversations.
- Strategies to help customers achieve robust, simplified automated business continuity with ActiveCluster File.
- Ways to deepen your role as a leading advisor in security and AI transformation.
As your trusted storage and data management partner, we’re ready to meet the market’s demand for value alongside you — let’s seize it together.
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