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The world’s most powerful data storage platform for AI.

Unleash the full power of your GPUs, with a purpose-built storage solution engineered for AI, at any scale.

Cybersecurity Professional Analyzing Data at Computer Workstation
Massive-scale Training
Achieve unprecedented speed with 10TB/s+ throughput, across a single exabyte-scale namespace—so your AI models train faster than ever.
Seamless AI Data Pipeline
A unified platform with the same Purity operating system, across every stage of AI—from ingest to inference—delivering unmatched simplicity and efficiency.
Guaranteed AI Performance
The industry’s only storage platform with SLA-backed performance guarantees for AI workloads —eliminating risk, ensuring predictable performance, and delivering AI outcomes with confidence.

Trusted by global AI leaders. Unlock the full potential of your AI.

Move from AI stress to AI success with an AI-ready platform.
Accelerate AI adoption.

Unlock the full potential of your AI initiatives—at any stage. Get the scale and flexibility you need.

Unify AI data from ingest to inference to accelerate training and insights.
Break down data silos, integrate diverse data sources, and streamline your entire project on a unified platform.
Simplify AI storage management.
Improve productivity with simple and automated management, AI-driven insights, and validated AI designs.
Solve the unpredictability of AI growth.

Achieve AI project success with an AI-ready storage-as-a-service platform that grows with you while mitigating risk.

Powering the Next-generation GPU-intensive AI and HPC Workloads with FlashBlade//EXA

Deliver industry-leading performance with proven metadata capabilities. FlashBlade//EXA™ simplifies management at scale and supports AI innovation with a highly configurable and disaggregated architecture.

Accelerate and simplify AI adoption.

More energy savings and space efficiency by up to

85%

to scale AI without increasing energy use.
No more DIY AI infrastructure
Eliminate uncertainty and decision fatigue with proven AI-ready infrastructure designs that can fast-track your AI deployments.
Faster than direct attached SSDs for GenAI RAG by

36%

with highly parallelized read and write operations on FlashBlade//S™ with NVIDIA NeMo™ Retriever microservices.
Source: Read the Blog
Simplified AI storage management

Streamline your AI infrastructure and reduce the number of tools required, simplifying storage management and speeding up deployments.

Container data management platform for AI
Portworx® enables persistent storage, data protection, databases, and more for Kubernetes-based AI applications, anywhere.
Certified excellence: NVIDIA DGX SuperPOD™ with Pure Storage FlashBlade//S™

Fast-track and future-proof enterprise AI and HPC initiatives with a certified, turnkey solution from AI infrastructure leaders NVIDIA and Pure Storage.

Pure Storage AI capabilities in the real world.

What is AI storage?

AI storage is a storage infrastructure and solution that is designed and optimized to support the needs of AI applications and development workflows. AI involves the processing of large datasets and the training of complex models, which requires substantial storage capacity, high-speed data access, and efficient data management.

People also ask:

1. What is 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.

2. What is retrieval-augmented generation?

Retrieval-augmented generation (RAG) optimizes 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.

3. What are critical AI storage considerations?

The most important attribute for AI storage is performance agility. AI storage must have the ability to grow from a few hundred gigabytes to petabytes, perform well with rapidly changing mixed workloads, serve data to training and production clients simultaneously throughout a project’s life, and support the data models used by project tools. The additional attributes of an ideal AI storage solution are: capacity flexibility, availability and data durability, space and power efficiency, support for data models, security, and operational simplicity.

1 2024 Pure Storage and Vanson Bourne market research study of 1,500+ relevant decision makers.
2 2023 Pure Storage and Wakefield Research market research study of 500 relevant decision IT buyers.

What we recommend next.
Advantages of the Pure Storage Platform.
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