ClusterMAX™ Quotes
The following quotes represent insights from industry experts, researchers, and investors who work with neoclouds. These insights help describe the real-world challenges and considerations that inform the ClusterMAX™ rating system, and how it is used in practice.
AI Industry Leaders
“ClusterMAX has become a valuable tool for making data-driven decisions about where and how we deploy compute. As a leading system for benchmarking GPU clouds across performance, reliability, and support, it provides critical insights to our team as we scale OpenAI's infrastructure through projects like Stargate - helping ensure the benefits of AI reach everyone.”
“Meta's Super Intelligence efforts relies on both internal on prem clusters and cloud providers to build the largest AI fleet for frontier model training & inference efforts. ClusterMAX is delivering a comprehensive rating system that the industry can rely on to evaluate GPU cloud providers.”
“AI is transforming every industry, and the infrastructure behind it needs to be dependable, scalable, and transparent. SemiAnalysis's industry standard rating system, ClusterMAX, shines a light on what truly matters-real-world performance, operational excellence, and customer support-helping organizations navigate a complex GPU cloud landscape. It's a valuable resource for anyone renting from GPU clouds.”
“In the rapidly evolving AI landscape, choosing the right GPU cloud provider is essential for maximizing efficiency and minimizing risks. Supermicro commends SemiAnalysis's ClusterMAX™ rating system, which evaluates providers on security, reliability, and performance to deliver unparalleled value in GPU infrastructure for enterprises and startups alike.”
“Snowflake's mission is to empower every enterprise to achieve its full potential with data and AI with the performance and scale they need. As we expand our use of GPUs to accelerate AI workloads, objective and transparent benchmarks like ClusterMAX are invaluable. The system provides the clarity required to evaluate GPU cloud providers across performance, reliability, and cost, helping ensure we make the right infrastructure decisions to support our customers at scale.”
Investment and Financial Leaders
“ClusterMAX is the industry standard for evaluating GPU cloud providers-providing desperately needed transparency to empower all GPU end users, large and small, with a clear understanding of the latest GPU cloud landscape.”
“SemiAnalysis has quickly emerged as a trusted source in our industry through hustle and hard work. ClusterMAX is a prime example, delivering a comprehensive rating system that the industry can rely on to evaluate GPU cloud providers.”
“By rigorously benchmarking providers across critical dimensions that customers care about like performance, reliability, orchestration, and security, ClusterMAX empowers us to be informed about the state of where AI compute is going.”
“For AI startups, especially in early stages, GPUs are often the single biggest line item. Picking the right cloud provider can literally determine whether you make it or not. SemiAnalysis's ClusterMAX cuts through the noise by benchmarking cost, performance, and reliability - this gives teams the data they need to make the smartest call when choosing GPU clouds.”
AI Companies and Startups
“At Periodic Labs, we're building an AI Scientist to accelerate scientific discovery. To conduct novel research, we rely on GPU clouds that are stable and performant at scale. SemiAnalysis' ClusterMAX sets the GPU cloud industry standard and has been extremely helpful in our evaluations of cloud providers. Their evaluations on reliability, performance, networking, and managed Kubernetes orchestration align closely with the demands of our workloads.”
“At Cursor, we're advancing the frontier of AI-native software development with tools that help engineers build faster and smarter. To support our research, we depend on GPU clouds that are reliable, performant, and easy to scale. We're glad SemiAnalysis introduced ClusterMAX as the industry standard GPU cloud ranking system. Its evaluation across reliability, quick node swaps, & performance, and reflects what matters for our workloads.”
“Jua is a frontier AI lab building a foundational world model of Earth - simulating weather, hurricanes, wildfires, and more. We train on managed Slurm and run inference on managed Kubernetes, and ClusterMAX aligns well with our GPU requirements.”
“AdaptiveML is unified platform for enterprise inference, pretraining, and reinforcement learning. We use FluidStack & deploy on GPUs across all 3 major hyperscalers. Our stack runs on Kubernetes. ClusterMAX's 9 different categories of criterias aligns well with our requirements.”
“ClusterMAX has become the industry standard for GPU cloud rankings, and the results align perfectly with our real-world experience at fal.”
“At Makora, we're liberating developers from the bottlenecks of GPU performance engineering. Our AI coding agent automatically generates, optimizes, and deploys GPU kernels for NVIDIA, AMD, and custom accelerators. ClusterMAX's industry-standard GPU cloud rating system, with its multi-criteria evaluation aligned to our hardware-agnostic approach, empowers us to deliver seamless, scalable inference and RL post-training for the AI systems of tomorrow.”
“Baseten is a high-performance inference platform operating at the frontier of model performance, serving some of the leading AI companies in the market and early adopting enterprises. Our Inference Stack delivers blazing-fast cold starts, autoscaling, and enterprise-grade reliability. As a provider that operates across over 10 clouds, we are happy SemiAnalysis created their industry standard GPU Cloud ranking system, ClusterMAX. This system evaluates across 9 critical criteria that we value most when it comes to operating at the frontier of AI model performance.”
“As an emerging AI lab, Nous Research has developed popular models such as Hermes 4. For us, ClusterMAX is the industry standard for evaluating GPU clouds across the critical dimensions we care about: price, performance, and network stability.”
“Extropic is pioneering thermodynamic computing - building AI systems grounded in the physics of information itself. Internally, we use SLURM clusters to manage our experiments. We are glad to see SemiAnalyis's industry standard ClusterMAX system's criteria includes evaluating SLURM offering across providers.”
“At Clockwork, we build software that optimizes large-scale GPU clusters for real-time observability, fault tolerance, and deterministic performance. As a fast-growing startup in a rapidly evolving landscape, having a trusted source of authoritative, real-time technical and market intelligence is invaluable. SemiAnalysis stands out for its deep domain expertise and holistic command of the semiconductor and AI infrastructure ecosystem, combined with a hands-on approach to building, testing, and validating real systems. ClusterMAX sets the benchmark for evaluating GPU providers, while InferenceMAX delivers rigorous inference performance testing on real-world hardware. Their data models provide the clarity and insight that help us sharpen our go-to-market strategy, better understand the ecosystem we're building for, and ultimately move faster with confidence.”
“ClusterMAX has been useful for us even if Dylan Patel is annoying.”
“At Cartesia, we're developing the next generation of interactive, multimodal intelligence, which requires infrastructure that is efficient, low-latency, and resilient. Systems like ClusterMAX provide the clarity and technical detail to help organizations better understand how to scale their compute infrastructure.”
Infrastructure Providers
“At Modal, we're the serverless platform for AI and ML engineers. High performance and reliable GPU infrastructure is a key demand of our customers. We are glad SemiAnalysis created their industry standard GPU Cloud ranking system, ClusterMAX. It has guided development of our internal GPU reliability system, gpu-health, and provides insights when performing GPU Cloud vendor evaluation.”
“GPU clouds are propelling the AI revolution by democratizing access to enterprise-grade compute. Unlike traditional clouds, GPU clouds require specialized hardware-software optimization that can make or break AI performance. The SemiAnalysis ClusterMAX GPU cloud ranking system provides a holistic evaluation of the full technology stack combined with world-class analysis that provides WEKA with the vital insights needed to architect powerful AI infrastructure solutions for our GPU cloud partners and their customers.”
“ClusterMAX has become the go-to benchmark for GPU clouds. By focusing on what users care about like managed Kubernetes, SLURM integration, operational reliability, and enterprise class support, SemiAnalysis helps GPU consumers cut through the GPU cloud marketing noise and select the best platform to run their workloads.”
Community and Content Creators
“SemiAnalysis created a in depth study & ranking for the GPU cloud industry covering areas that are important to end users like me such as out of box slurm/kubernetes, NCCL performance and high reliability.”
“The team at SemiAnalysis created the GPU cloud ranking that I think everyone else wishes they could have made. It is as thorough, comprehensive, and neutral. The methodology is aligned with real world applications, and is pretty comprehensive.”