StorageMath

WEKA's 'Augmented Memory Grid': Real Pedigree, Wrong Architecture

Fri, 27 Feb 2026 00:00:00 +0000

WEKA published a blog post called “Demystifying the BlueField-4 Inference Context Memory Storage Announcement.” The title implies they’re cutting through complexity. What they’re actually doing is using NVIDIA’s announcement as a launch vehicle for a new product name — “Augmented Memory Grid” — without providing a latency number, a throughput figure, a benchmark condition, or any technical detail that would let an engineer evaluate whether it works for their inference workload.

MinIO AIStor Tables and Iceberg V3: Genuine Engineering, Premature Ecosystem

Tue, 10 Feb 2026 00:00:00 +0000

MinIO announced general availability of AIStor Tables in February 2026, positioning it as “the first data store in the industry to support Apache Iceberg V3” with the catalog REST API embedded directly into the object store. The article details four major V3 features — deletion vectors, row-level lineage, variant types, and native geospatial types — and argues that embedding the Iceberg catalog eliminates the operational complexity of external catalog services like Hive Metastore or AWS Glue.

MinIO AIStor vs OSS: 13,061 Commits of Divergence and the End of Open Source MinIO

Tue, 10 Feb 2026 00:00:00 +0000

MinIO published a technical comparison in February 2026 documenting the divergence between MinIO AIStor (their enterprise product) and MinIO OSS (the community edition). The article, based on analysis of 13,061 commits in a public GitHub gist, presents detailed statistics: 245 unique source files absent from OSS, 24 new internal packages, 130+ critical and high-severity fixes exclusive to AIStor, and entire subsystems — Iceberg catalog, Delta Sharing, rolling updates, QoS — that exist only in the commercial product.

MinIO's Multi-Protocol Attack: Valid Architecture Argument, Zero Evidence

Tue, 10 Feb 2026 00:00:00 +0000

MinIO published “You Can’t Fake Object Storage” in January 2026, arguing that multi-protocol storage platforms from NetApp, Pure Storage, and Dell Technologies are fundamentally compromised for AI and analytics workloads. The thesis: file system semantics create bottlenecks that no translation layer can hide, and only “object-native” architectures like MinIO’s AIStor can deliver the performance modern GPU-driven workloads demand.

The architectural argument contains legitimate observations about storage design trade-offs. But MinIO commits the same sin they’d accuse any other vendor of: making sweeping performance claims without publishing a single benchmark to support them.

Pure Storage's Recovery Speed Claims: Real Numbers, Missing Context

Tue, 10 Feb 2026 00:00:00 +0000

Pure Storage published “Why Data Protection is Defined by Recovery Speed” in February 2026, arguing that the storage industry’s obsession with backup windows is misguided. The real metric that matters, Pure claims, is how fast you can restore when disaster strikes. Unlike most vendor blog posts that traffic in vague superlatives, Pure actually provides specific performance numbers: over 60 TB/hr restore throughput for Oracle RMAN and over 113 TB/hr aggregate restore throughput for SQL Server across eight concurrent instances.

VAST Amplify's '6x Capacity' Claim: Exploiting a Real Crisis with Fake Math

Sat, 07 Feb 2026 00:00:00 +0000

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 6x or more effective capacity” from existing SSDs. Two weeks earlier, Blocks and Files ran a breathless piece about VAST’s “Flash Reclaim” initiative, dutifully reporting VAST’s claim of a 3.4x average data reduction ratio across their customer base. StorageReview published a headline declaring VAST “aims to make your existing SSDs feel 6x bigger.” The storage press printed all of it without doing a single calculation.

NetApp AFX's 'Parallel File System Performance' Claims: The Benchmark They Won't Submit

Wed, 04 Feb 2026 00:00:00 +0000

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, called it “a revitalization of NAS” that provides “all those benefits of a parallel file system from an extensibility and scalability and granularity perspective, but doing so with the parallel NFS standards” [2].

This is a testable claim. The IO500 benchmark exists specifically to measure parallel file system performance. It’s the industry standard, maintained by the HPC community, and vendors from DAOS to DDN to WEKA to VAST Data submit results. If NetApp AFX truly delivers parallel file system performance, the proof would be straightforward: submit to IO500 and let the numbers speak.

VAST Data's '29x Data Reduction' Claims: The Storage Industry's Most Brazen Lies

Thu, 15 Jan 2026 00:00:00 +0000

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 eye-popping 29x capacity advantage. These claims are not merely misleading—they are deliberately constructed falsehoods designed to deceive potential customers.

This is not our first encounter with VAST’s creative relationship with truth. We’ve documented their unverifiable 99.9991% uptime claims, their dubious 10x Kafka performance assertions, and now this. A pattern emerges: VAST Data has positioned itself as the storage industry’s foremost charlatan, systematically publishing claims that collapse under the slightest mathematical scrutiny.

Pure Storage's FlashBlade//EXA '10 TB/sec' Claim: When Vague Numbers Replace Real Benchmarks

Fri, 02 Jan 2026 00:00:00 +0000

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.

The “More Than” Problem

“More than 10 TB/sec” is marketing speak for “we don’t want to tell you the actual number.” It could be 10.1 TB/sec. It could be 15 TB/sec. It could theoretically be 50 TB/sec. The phrase reveals nothing except that Pure Storage measured something above 10 TB/sec under some unspecified conditions.

VAST Data's 99.9991% Uptime and 10x Kafka Claims: The New Standard for Unverifiable Marketing

Fri, 02 Jan 2026 00:00:00 +0000

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 sound familiar, you may have read our analysis of Cloudian’s absurd “26 nines” durability claim. VAST’s uptime assertion follows the same playbook: pick an impressive-sounding number, provide no methodology, and wait for uncritical tech media coverage to amplify it.

DDN's '11x Faster' IO500 Claims: What the Benchmark Actually Measures

Mon, 29 Dec 2025 00:00:00 +0000

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 what DDN’s specific claims assert.

What IO500 Measures

The IO500 benchmark evaluates storage performance under HPC/AI workloads using four metric categories:

IOEasy: Sequential write and read operations under well-optimized I/O patterns. This reflects applications with straightforward access patterns.

Hammerspace's 'Standard NFS' Achievement: A Technical Reality Check

Mon, 29 Dec 2025 00:00:00 +0000

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-class performance without proprietary parallel file systems.

The achievement is real. The framing requires clarification: pNFS v4.2 with Flex Files is not “standard NFS,” and Hammerspace’s architecture is not simply Linux + NFS.

What Hammerspace Actually Uses

Hammerspace’s architecture consists of:

HPE Alletra's DASE Strategy: Learning From VAST Without the IP Risk

Mon, 29 Dec 2025 00:00:00 +0000

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 competitive positioning and operational risk.

HPE’s strategy: copy the architecture, not the lawsuit.

VAST’s DASE Architecture

VAST introduced Disaggregated Shared Everything (DASE) in its storage platform: complete separation between storage hardware and control software, with unified metadata and state management across all nodes.

IBM's $11B Confluent Acquisition: Event Streaming Infrastructure, Not an AI Platform

Mon, 29 Dec 2025 00:00:00 +0000

In December 2025, IBM announced acquisition of Confluent for $11 billion with the stated goal of creating a “Smart Data Platform for Enterprise Generative AI.” This framing requires technical examination. Confluent is event streaming infrastructure built on Apache Kafka. Understanding what Confluent does, what it does not do, and why IBM’s positioning is misleading requires separating product capability from marketing narrative.

What Confluent Is

Confluent provides a managed cloud platform around Apache Kafka. Kafka is a distributed append-only log where producers write events to topics and consumers read them. Multiple consumers can read the same topic independently. Data persists persistently. The core technical properties are:

VAST Data's $30B Valuation Ignores Operational Complexity Costs

Mon, 29 Dec 2025 00:00:00 +0000

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 conflicts with VAST’s actual system architecture. VAST has built a sophisticated, complex storage system. That sophistication creates competitive advantages at scale. It also creates support cost burdens that $30B valuations systematically underestimate.

MinIO ExaPOD: Credible Architecture, Questions on Methodology