StorageMath

A recent Medium article titled "The AI Inventory Trap" argues that AI has made engineering so fast that downstream stations - code review, QA, security audit, product validation - now form the binding constraint on software delivery 1. The prescription is

VAST Data has found its most cynical marketing angle yet: exploiting a genuine supply crisis to sell the same fraudulent data reduction math we've already debunked . On January 27, 2026, VAST announced "VAST Amplify," a program claiming to deliver "up to

NetApp's marketing for AFX makes a bold claim: the disaggregated ONTAP architecture delivers "all the performance benefits of parallel file systems" while being "simple, secure, and fully integrated" 1. Jeff Baxter, NetApp's VP of Product Marketing, calle

VAST Data has a lying problem. Their co-founder Jeff Denworth recently posted on LinkedIn claiming extraordinary data reduction ratios from customers migrating from "triplicated data lakes" to VAST DataBase. The numbers are impressive: 8x, 12.8x, and an e

VAST Data has made two extraordinary claims that deserve mathematical scrutiny: 99.9991% measured uptime and a 10x performance advantage over Apache Kafka. Let's examine what these numbers actually mean and whether they can be verified. If these claims so

In March 2025, Pure Storage announced FlashBlade//EXA with a headline claim: "more than 10 terabytes per second read performance in a single namespace." This sounds impressive until you start asking basic questions about what this number actually means. T

VAST Data commands a $30 billion potential valuation (August 2025 funding talks with CapitalG and Nvidia) based on $200M ARR and claimed 90% gross margins. The valuation assumes that support costs remain negligible as the company scales. This assumption c

In 2025, HPE accelerated its Alletra storage portfolio by adopting disaggregated shared-everything (DASE) architecture principles pioneered by VAST Data. However, HPE's implementation diverges strategically from VAST's approach in ways that reveal both co

Hammerspace announced in November 2025 that it achieved #18 on the IO500 10-node production benchmark using "standard Linux, upstream NFSv4.2 client, and commodity NVMe flash." The company positioned this as proving that standard protocols can deliver HPC

In 2025, DDN announced that its EXAScaler Lustre storage system ranks #1 on the IO500 benchmark and delivers "up to 11x more AI training sessions" per day compared to competitors. This claim requires technical examination of both what IO500 measures and w