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The latest 2026 ClusterMAX results are in, and TensorWave has received a Silver rating under a more demanding evaluation.

TensorWave Earns Silver in ClusterMAX 3.0 as SemiAnalysis Raises Its Standards

The latest 2026 ClusterMAX results are in, and TensorWave has received a Silver rating under a more demanding evaluation. In its ClusterMAX 3.0 report, SemiAnalysis reviewed 77 providers, updated its criteria across 10 categories, and raised the bar for recognition. Only 19 neoclouds globally earned a Medallion rating this round.

For TensorWave, Silver status comes alongside clear progress. SemiAnalysis tested our AMD Instinct MI355X GPU offerings through Kubernetes and Slinky, finding significant improvements in onboarding, attentive support, and strong results across storage and cluster reliability.


A Higher Standard for GPU Clouds

ClusterMAX evaluates the managed cluster experience, including compute, networking, storage, orchestration, monitoring, and support. Its criteria reflect what teams need to put GPU capacity to work.

As those expectations rise, maintaining a rating takes continued improvement. TensorWave’s latest review shows where that progress is making a difference, from getting onto the cluster to using and managing it.


A Smooth Start, With Support Throughout

SemiAnalysis’s previous review identified onboarding as an area that needed work. This time, the reviewers reported a smooth process. The Kubernetes configuration file supplied to them worked immediately, the console made it easy to add team members with SSH access, and our support team remained attentive throughout testing.

Their assessment was direct:

“The improvement this time round is significant.”

For teams preparing to train, fine-tune, or deploy models, getting access to a working environment is an essential first step. That change made a real difference: users can get onto their cluster quickly and start testing without any onboarding delays.


Strong Storage and Reliable Operations

The improvements extended beyond onboarding. SemiAnalysis reported strong north-south bandwidth, successful burn-in testing, good Kubernetes reliability, and an easy-to-use Slinky layer.

Storage stood out in particular:

“Storage performance was exceptional and burn-ins completed without a problem.”

These findings cover practical parts of running a GPU cluster: moving data, sustaining operation under load, and managing workloads. They give teams evaluating TensorWave an independent view of how the tested environment performed.


Building a Seamless AMD Cloud Experience

SemiAnalysis described TensorWave as “the leading AMD-exclusive neocloud,” recognizing the experience we provide as an exclusively-AMD GPU AI cloud infrastructure provider.

We’re proud of the progress TensorWave made in this round of ratings. We’ll keep building on it to give AI teams an AMD-only, open alternative for training and running their workloads. Our focus will remain the same, on making AMD infrastructure easier to access, use, and operate. Retaining Silver under a higher standard, alongside documented improvements in the customer experience, is a meaningful milestone in that work.

Read the full TensorWave review in SemiAnalysis’s ClusterMAX 3.0 report.


TensorWave Cloud: Engineered for AI Velocity

TensorWave is the industry’s premier AMD-exclusive cloud provider, delivering memory optimized AI infrastructure for training, fine-tuning and inference. 

Our platform combines the raw computational power of AMD's latest GPU architectures with innovative liquid cooling technology and ultra-high-speed networking, creating an optimized environment for the most demanding AI workloads. From large language model training to real-time inference, TensorWave provides the performance, scalability, and cost-efficiency that modern AI initiatives demand.

Ready to get started? Connect with sales. 

TensorWave Earns Silver in ClusterMAX 3.0 as SemiAnalysis Raises Its Standards

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