Velocity • Durability
For most of the AI infrastructure buildout, storage was optimized for one thing: feeding training runs. The playbook
The receipts are in on every claim made in “The Flash Emperor Has No Clothes,” and a closer
Source: Block and Files : VDURA CEO Ken Claffey reckons that flash price rises and shortages have finished off
A response to Everpure (aka Pure Storage), and to a decade of all-flash economics that were never as advertised By
HDDs Aren’t Dying. They’re Disappearing Off Shelves. The most resilient storage architectures in AI infrastructure have one thing in common:
Some storage architectures silently consume 5 GB of DRAM and up to 4 CPU cores per GPU node. At 500 nodes, that’s 2.5 TB of DRAM and 2,000 cores lost to storage overhead — a hidden tax you can no longer afford.
The receipts are in on every claim made in “The Flash Emperor Has No Clothes,” and a closer
Source: Block and Files : VDURA CEO Ken Claffey reckons that flash price rises and shortages have finished off
A response to Everpure (aka Pure Storage), and to a decade of all-flash economics that were never as advertised By
HDDs Aren’t Dying. They’re Disappearing Off Shelves. The most resilient storage architectures in AI infrastructure have one thing in common:
April 7, 2026 Source: CIO –The enterprise storage market is currently experiencing unprecedented SSD price volatility driven by massive AI
March 17, 2026 Techstrong —VDURA this week added a Remote Direct Memory Access (RDMA) capability to its parallel storage platform
For most of the AI infrastructure buildout, storage was optimized for one thing: feeding training runs. The playbook
The receipts are in on every claim made in “The Flash Emperor Has No Clothes,” and a closer
Source: Block and Files : VDURA CEO Ken Claffey reckons that flash price rises and shortages have finished off
A response to Everpure (aka Pure Storage), and to a decade of all-flash economics that were never as advertised By
HDDs Aren’t Dying. They’re Disappearing Off Shelves. The most resilient storage architectures in AI infrastructure have one thing in common:
Some storage architectures silently consume 5 GB of DRAM and up to 4 CPU cores per GPU node. At 500 nodes, that’s 2.5 TB of DRAM and 2,000 cores lost to storage overhead — a hidden tax you can no longer afford.