Strategic PartnersIssue 082 records
Everpure
Ahead of SC26 (Nov 15-20), Everpure updated its HPC blog on Nov 4 to say FlashBlade//EXA is in production and delivers over 10 TB/s, a figure from its own controlled-hardware testing; the page even shipped with an unresolved '[SME to confirm]' placeholder on NVIDIA certifications. StorageReview's independent tracker accepts Everpure's audited MLPerf checkpoint and KV cache results but calls the 10+ TB/s headline projected, not measured, and could not confirm a named EXA AI training deployment. Research universities should anchor on audited, workload-matched metrics and on-site tests.
- Evidence records
- 2
- Cross-source patterns
- 1
- Evidence classes
- 1 vendor claim1 independent reporting
- Outcomes
- 1 emerging1 mixed
- Source freshness
- 2 new this fortnight
- Research completed
- 2026-11-08
Choose a role to see its takeaway beside every record in the ledger.
Patterns across the evidence
Synthesis · Lighthouse Advisory interpretation
FlashBlade//EXA's 10+ TB/s headline remains vendor-tested while audited proof covers checkpointing and KV cache
Everpure's Nov 4 update states EXA delivers over 10 TB/s based on controlled-hardware testing; StorageReview classifies that figure as projected, not measured, while accepting MLPerf v3.0 checkpoint and KV cache results as audited and finding no confirmed named EXA AI training deployment.
Operating questionWhich audited metric matches our research workload, and what on-site test will confirm performance before we rely on vendor throughput headlines at SC26?
Supporting evidenceEverpureStorageReview
Evidence ledger
Full record · every source keeps its link and limitations
Why the Future of High-performance Computing Will Depend on Data Storage
Everpure updated its HPC/AI storage post on Nov 4, 2026 (banner: 'Updated November 2026'), ahead of its SC26 booth (Nov 15-20). It now states FlashBlade//EXA is 'in production' and 'delivers over 10 TB/s' of single-namespace reads, qualified as 'based on controlled-hardware testing'. It cites audited MLPerf Storage v3.0 results (877.52 GiB/s checkpoint writes, scaling from 327.65 GiB/s at 10 data nodes to 30) and a SPECstorage AI_IMAGE record of 6,300 jobs, an internal IO500 score of 142.32, WWT AI Proving Ground validation, and a CERN openlab research partnership. The published page still contains an unresolved editorial placeholder: '[SME to confirm: exact NVIDIA certifications to name.]'
Why it matters, evidence and limitations
- Why it matters
- Moderate for research universities and state HPC centers evaluating AI/HPC storage ahead of SC26 (Nov 15-20, Booth #1718). Why now: the post was materially updated Nov 4 to recast EXA as in production and delivering 10+ TB/s, the message Everpure will carry to SC26. No US public university deployment is cited.
- Evidence and measured results
- Vendor statements; cites third-party audited benchmarks (MLPerf Storage v3.0 CLOSED, SPECstorage 2020 AI_IMAGE) plus internal IO500 testing and controlled-hardware testing for the 10 TB/s figure; WWT validation and CERN openlab described qualitatively. No sample, baseline or customer-measured outcome.
- Limitations and uncertainty
- Vendor marketing. The 10 TB/s figure is from Everpure controlled-hardware testing, not an audited submission; IO500 score is internal testing; WWT validation and CERN partnership are described without measured outcomes; no US SLED or university customer named; the visible SME placeholder shows the NVIDIA certification claims were not finalized when published.
Best Storage Arrays 2026: AI Storage Leaders and Audited Results
StorageReview's independent buyer's guide (last updated Oct 29, 2026) labels every AI storage number by evidence class. For Everpure it accepts the MLPerf Storage v3.0 result (877.5 GiB/s checkpoint write, 1,623.4 GiB/s KV cache read) and the SPECstorage AI_IMAGE record as audited, but lists FlashBlade//EXA's 10+ TB/s single-namespace throughput as 'Projected, not measured' with no audited submission, and says it 'could not confirm a named AI training deployment on FlashBlade//EXA specifically.' It also notes MLPerf v3.0 does not crown one winner and results are not comparable with earlier rounds.
Why it matters, evidence and limitations
- Why it matters
- Moderate for research computing and state data center buyers. Why now: Everpure's Nov 4 blog update restates the 10+ TB/s figure as delivered ahead of SC26; this independent tracker, updated a week earlier and not previously archived, classifies it as a projection and finds no confirmed named EXA AI training deployment.
- Evidence and measured results
- Trade-press compilation of audited MLPerf Storage v3.0 and SPECstorage results, vendor claims and named deployments; explicit evidence-class labeling rules. Not a StorageReview lab test of Everpure.
- Limitations and uncertainty
- Trade-press synthesis, not StorageReview lab testing of Everpure; updated Oct 29, before Everpure's Nov 4 blog update; covers vendors broadly with short profiles; does not assess SLED deployments, pricing or operations.
How to read this edition
Source findings, measured results and limitations come from the cited publications. Patterns, operating questions, role takeaways and implementation considerations are Lighthouse Advisory interpretation, stated as questions to validate locally rather than guaranteed outcomes. Vendor and operator claims are labeled as claims. Full research method.
- Vendor claim
- A supplier-provided assertion that has not been upgraded to independent evidence.
- Independent reporting
- Independent reporting with attributable sources but without a formal evaluation design.