Scale AI data platforms and AI factories from terabytes to exabytes on the industry’s most flexible and unified data platform.
Legacy storage and point solutions for AI stall projects, drive up cost, and force replatforming as AI demand grows. The Everpure Platform delivers AI-ready data at scale, so IT can stay ahead of every new AI use case that your line of business demands.
Turn raw enterprise data into AI-ready data with built-in vectorization, RAG, and governance.
Run AI workloads at the speed of GPUs with massively parallel architecture.
Eliminate the bottlenecks that stall AI projects and erode ROI.
Get the only unified data platform built to scale AI production with ease.
Proven the best in MLPerf and SPEC storage benchmarks.
40–60% lower overhead, SLA-backed performance, and energy efficiency.
Scale to exabytes and absorb the demands of new AI innovations as they emerge.
Everpure partners with NVIDIA to co-innovate and bring an enterprise-ready data platform for AI factories at scale.
Cisco FlashStack® for AI Factories is co-engineered by Cisco, NVIDIA and Everpure to deliver a turnkey, enterprise-grade AI solution.
Achieve budget predictability and scale dynamically as you grow with Evergreen//One™ for AI.
See the research, hear what's changing, and rethink your data strategy to get ready for AI.
See how using TurboQuant on top of FlashBlade delivers up to 10X faster KV cache restores for AI inference.
An AI Factory is a specialized computing infrastructure purpose-built to create value from data by managing the full artificial intelligence life cycle. This includes everything from data ingestion, training, and fine-tuning of models, to high-volume inference—the process of applying models to generate predictions and decisions.
The output of an AI factory isn’t physical goods but intelligence, often quantified in terms of AI token throughput, which drives automation, decision-making, and new AI-powered applications.
AI factories can only produce intelligent tokens at scale with the desired business impact, if data is provided to these factories by solving for data fragmentation, data security and governance, data readiness and at the right performance.
Generative AI (GenAI) is the application of machine learning algorithms to large data sets to generate content, such as text, images, audio, and video. Popular GenAI tools include ChatGPT, DALL-E, Bard, and Midjourney.
Retrieval-augmented generation (RAG) optimises the output of large language models (LLMs) by consulting an authoritative knowledge base outside of its original training data before generating a response, effectively extending its capabilities beyond its original training data. RAG is a cost-effective way to improve LLM outputs for specific domains, by leveraging an internal database of proprietary, custom data.
Everpure and Cisco deliver AI Factories for the enterprise with NVIDIA. The collaboration brings together compute, storage, networking, and software in one unified, production-grade platform to help enterprises move from AI pilot projects to large-scale deployment with confidence.
FlashStack for NVIDIA AI Factories provides scalable, secure, and efficient infrastructure that accelerates AI from pilot to production—with confidence and control.
An AI data platform is a comprehensive ecosystem that unifies essential tools, frameworks, and infrastructure required for the entire AI lifecycle—from development to deployment and management. The NVIDIA AI data platform is a customizable reference design that integrates NVIDIA-accelerated computing into enterprise storage to centralize intelligent data handling and deliver AI-ready data, while reducing latency, enhancing data security, and maximising performance.
And because enterprises cannot achieve AI success without addressing data readiness first, Everpure tackles the data preparation bottleneck head on—solving automating ingestion, transformation, and optimisation, so enterprise AI teams can move faster and focus on delivering real impact.