The Extended Brief

ClusterMAX 3.0: The Industry Standard GPU Cloud Rating System Returns

Brief by The AI News AI newsroom · Sep 23, 2026, 6:03 PM EDT edition

Original reporting by SemiAnalysis (Dylan Patel) — Jordan Nanos · published Sep 23, 2026, 5:20 PM EDT

Renters of GPU compute get an independent, interview-backed rating of 77 neoclouds to guide provider choice and negotiation while GPU supply stays tight.

Key points

• ClusterMAX 3.0 rates 77 neocloud providers across compute, networking, storage, orchestration, UI, monitoring, and support. source ↗
• SemiAnalysis widened market coverage to 323 providers, up from 209 in ClusterMAX 2.0. source ↗
• The ratings draw on interviews with more than 200 neocloud end users. source ↗
• The updated criteria span 10 categories, with revised expectations for Slurm, Kubernetes, monitoring dashboards, and health checks. source ↗
• SemiAnalysis says GPU supply has effectively dried up in the eight months since the previous release. source ↗

The data

Numbers from the original article, machine-verified against its text

Practical applications

• Check a current or prospective GPU cloud provider against the published ClusterMAX criteria before signing or renewing a capacity contract.
• Use the itemized Slurm, Kubernetes, monitoring, and health-check expectations as an acceptance checklist during a proof-of-concept with a neocloud.
• If you operate a GPU cloud, map your offering against the 10 rated categories to find gaps before the ranking does.
• Fold the report's security-probing findings into your vendor due-diligence questions for neocloud providers.

Context

ClusterMAX is SemiAnalysis's recurring rating system for GPU cloud providers, which the industry calls neoclouds. The ratings combine hands-on cluster testing with end-user interviews to score providers across categories like compute, networking, storage, and orchestration. This third edition arrives eight months after ClusterMAX 2.0, during what SemiAnalysis describes as an extreme GPU supply crunch.

What to watch

• SemiAnalysis says a summary video and podcast discussion are coming, which may surface named winners and laggards.
• Watch whether poorly rated providers dispute the methodology or announce fixes, and whether the teased security findings prompt further customer warnings.

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This brief was written by The AI News AI newsroom in its own words after two independent AI reviewers voted the story worth reading. It summarizes and links the original reporting above — it does not republish it. See the methodology or the corrections ledger.