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Pure Storage Introduces FlashBlade//EXA™, the World's Most Powerful Data Storage Platform for AI and High-Performance Computing

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Purpose-built to bring unmatched performance, scalability and power of FlashBlade technology to next-generation, GPU-intensive AI and HPC workloads

SANTA CLARA, Calif., March 11, 2025 /PRNewswire/ -- Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world's most advanced data storage technology and services, today debuted FlashBlade//EXA™, the industry's highest performing data storage platform engineered for the most demanding requirements of AI and High-Performance Computing (HPC). While legacy approaches to data storage have held back AI potential, FlashBlade//EXA breaks the metadata bottleneck with a proven architecture based on FlashBlade, built for high concurrency and the massive amounts of metadata operations typical of large scale AI and HPC workloads. In preliminary testing, FlashBlade//EXA is projected to deliver more than 10 terabytes per second read performance in a single namespace - setting a new bar as the industry's highest-performing storage solution.

Pure Storage FlashBlade//EXA
Pure Storage FlashBlade//EXA

The FlashBlade//EXA architecture scales data and metadata independently; provides near unlimited scale with off-the-shelf, third-party data nodes that enable highly scalable multi-dimensional performance; and reduces complexity in deployment, management, and scaling through the use of standard protocols and networking.

Driving a Paradigm Shift in Storage

More powerful GPUs have increased the pace and scale that foundational AI models can be trained. The explosive growth in model size and sophistication is driving a paradigm shift in storage requirements, where solutions must seamlessly keep up with the computational intensity and volume, and variety in data demands of AI and HPC.

Legacy storage systems were not designed to meet modern AI requirements. When applied to large-scale AI and HPC, they face critical limitations with parallel and concurrent reads and writes, metadata performance, ultra-low latency, asynchronous checkpointing, and predictable, high throughput.

A modern storage solution must provide a massively parallel, disaggregated architecture to deliver flexibility at scale – ensuring that storage helps accelerate the pace of AI.

A Modern Storage Architecture for AI and HPC Workloads

Legacy high-performance storage architectures were optimized for traditional HPC environments, with more predictable and regular workloads and a focus on raw performance scaling. Today's AI workloads are complex and multi-modal — including text, images, videos — being processed simultaneously by tens of thousands of GPUs. This dramatic shift demands advanced metadata optimization alongside massive performance scaling to efficiently manage diverse data types and high concurrency.