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Pure Storage Background Design

Everpure Engineering

Inside the engineering behind the industry’s most advanced data platform.

  • Scale LanceDB Vector Search for Production AI with FlashBlade
    Everpure Engineering
    Scale LanceDB Vector Search for Production AI with FlashBlade

    By:

    Aditya Gandrajupalli, Fahad Fajardo
  • FlashBlade Integration into Cisco Intersight Is Now Generally Available
    Everpure Engineering
    FlashBlade Integration into Cisco Intersight Is Now Generally Available

    By:

    Craig Waters, Karthik Karupasamy
  • Zero-Copy Migrations with Nutanix Move and Everpure FlashArray
    Everpure Engineering
    Zero-Copy Migrations with Nutanix Move and Everpure FlashArray

    By:

    Kyle Grossmiller
  • Why Purity DeepReduce is Architecturally Different for Modern Data
    Everpure Engineering
    Why Purity DeepReduce is Architecturally Different for Modern Data

    By:

    Aaditya Rakesh
  • The Hidden Cost of Storage Upgrades
    Everpure Engineering, Perspectives, The Everpure Platform
    The Hidden Cost of Storage Upgrades

    By:

    Shawn Rosemarin
  • Do You Have a Recovery Gap? 5 Findings CISOs Can’t Ignore
    Everpure Engineering, Perspectives
    Do You Have a Recovery Gap? 5 Findings CISOs Can’t Ignore

    By:

    Robert Shields
  • Scale Bigger, Run Faster: Introducing Everpure Cloud Dedicated V50 for AWS
    Everpure Engineering, The Everpure Platform
    Scale Bigger, Run Faster: Introducing Everpure Cloud Dedicated V50 for AWS

    By:

    Ondrej Bursik, Shreya Baheti
  • Benchmarking Rust Coreutils and the RapidFile Toolkit
    Everpure Engineering
    Benchmarking Rust Coreutils and the RapidFile Toolkit

    By:

    Justin Emerson
  • Optimize AI Infrastructure Costs with a Hybrid Cloud AI Factory
    Everpure Engineering
    Optimize AI Infrastructure Costs with a Hybrid Cloud AI Factory

    By:

    Philip Ninan
  • Predictable Enterprise Data Reduction at Scale with Purity DeepReduce
    Everpure Engineering
    Predictable Enterprise Data Reduction at Scale with Purity DeepReduce

    By:

    Debjeet Bagchi, Aaditya Rakesh
  • Everpure Continues to Simplify Purity Delivery
    Everpure Engineering
    Everpure Continues to Simplify Purity Delivery

    By:

    Justin Emerson, Jeff Peters
  • 6 Ways Portworx Helps Mitigate Rising Storage and Memory Costs
    Everpure Engineering
    6 Ways Portworx Helps Mitigate Rising Storage and Memory Costs

    By:

    Adam Swidler
  • Unlock Fleet-Wide Storage Management with ‘Just Enough’ LDAP
    Everpure Engineering, The Everpure Platform
    Unlock Fleet-Wide Storage Management with ‘Just Enough’ LDAP

    By:

    Kevin Rickson
  • Why Modern Data Needs a New Reduction Model
    Everpure Engineering
    Why Modern Data Needs a New Reduction Model

    By:

    Debjeet Bagchi
  • Everpure KVA Meets FlashBlade//EXA: Enterprise KV Caching at Neocloud Scale
    Everpure Engineering
    Everpure KVA Meets FlashBlade//EXA: Enterprise KV Caching at Neocloud Scale

    By:

    Robert Alvarez, Amrita Das

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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Your monthly pulse on innovation, data, and what’s next in tech—curated by Pure experts.

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