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  • Blog Home
  • Perspectives
    • AI and Machine Learning
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    • Cyber Resilience
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    • Enterprise Data Cloud
    • Future of Data Storage
    • Sustainability
  • News
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Pure Storage Background Design

Compute Processors

Compute processors—including GPUs, CPUs, TPUs, and LPUs—are driving the next generation of AI, machine learning, and high-performance computing. However, achieving peak performance from these advanced processors requires fast, efficient, and scalable storage. Everpure optimizes GPU utilization with solutions like FlashBlade® for high-speed data access, FlashArray™ for low-latency workloads, and AIRI//S™, our AI-ready infrastructure built with NVIDIA, ensuring that compute resources are never bottlenecked by slow storage. Explore the blogs below to learn how Everpure accelerates compute-intensive workloads.

  • GPUs vs. FPGAs: What’s the Difference?
    Educational
    GPUs vs. FPGAs: What’s the Difference?

    By:

    Everpure
  • CPU vs. GPU for Machine Learning
    Everpure Engineering
    CPU vs. GPU for Machine Learning

    By:

    Everpure
  • How to Maximize GPU Performance with Data Storage Optimized for AI
    Everpure Engineering, The Everpure Platform
    How to Maximize GPU Performance with Data Storage Optimized for AI

    By:

    Melody Zacharias
  • How to Accelerate Apache Spark with RAPIDS on GPU
    Everpure Engineering
    How to Accelerate Apache Spark with RAPIDS on GPU

    By:

    Yifeng Jiang

Get to know our authors:

While many in our space are still adding management layers to a fragmented portfolio of aging infrastructure, we are building a data intelligence layer on an Evergreen foundation. Everpure solved conventional storage and then unified operations. Now, with 1touch, we  will solve for data management at the level of the data itself, helping organizations tame data complexity and turn it into valuable knowledge, so they, and not their AI, control their destiny.

Rob Lee

Rob Lee

Chief Technology and Growth Officer

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