Best GPU cloud for training

Combined ranking

1. 1
   CoreWeaveincumbent—20 pts

   GPT #1Claude #1Gemini #1Grok #1

   Best specialized NVIDIA GPU cloud for large-scale training, fastest access to newest Blackwell/GB-series systems, Kubernetes-native infrastructure, strong cluster networking, and proven demand from top AI labs

   To stay #1 Make capacity less concentrated in large committed enterprise deals so more teams can reliably get top-tier clusters on demand

2. 2
   Google Cloudnew10 pts

   GPT #3Claude #2Gemini #3Grok —

   Only provider with a credible dual path — TPU v5p/v6 (Trillium) pods at massive scale plus strong NVIDIA GPU supply — backed by best-in-class cluster networking, Vertex AI integration, and proven ability to train frontier-scale models

   To rank higher Simplify pricing and quota/capacity reservations; getting large GPU or TPU allocations still requires sales negotiation and long lead times that push startups to neoclouds

3. 3
   Lambda Labs▼110 pts

   GPT —Claude #4Gemini #2Grok #2

   Deep hardware engineering expertise, highly reliable dedicated clusters, and competitive reserved instance pricing.

   To rank higher Resolve on-demand capacity shortages and improve public cloud instance availability.

4. 4
   AAWS—9 pts

   GPT #2Claude #3Gemini —Grok #4

   Deepest cloud platform around GPU training, massive global footprint, mature security/IAM/storage/networking, strong EC2 P5/P6-style NVIDIA options, and production-grade MLOps ecosystem

   To rank higher Improve GPU price/performance and capacity transparency for large reserved training clusters

5. 5
   RunPod▼24 pts

   GPT —Claude —Gemini #5Grok #3

   Best-in-class value with per-second billing, sub-minute pod/cluster spin-up, broad latest GPU support (incl. B200), and instant multi-node InfiniBand clusters plus templates that speed up training iteration.

   To rank higher Add stronger enterprise SLAs and priority dedicated capacity for uninterrupted multi-week production training runs.

6. 6
   Nebiusincumbentnew3 pts

   GPT —Claude #5Gemini #4Grok —

   Modern AI-native infrastructure, optimized high-performance networking, and strong managed Kubernetes services tailored for LLM workloads.

   To rank higher Expand their physical data center footprint in the North American market to reduce latency.

7. 7
   OOracle Cloud▼22 pts

   GPT #5Claude —Gemini —Grok #5

   Strong bare-metal GPU value, high-performance RDMA networking, aggressive NVIDIA supercluster buildout, and increasingly credible large-training economics

   To rank higher Close the ecosystem, documentation, marketplace, and developer-experience gap versus AWS, Google Cloud, and Azure

8. 8
   Microsoft Azurenew2 pts

   GPT #4Claude —Gemini —Grok —

   OpenAI-grade supercomputer credibility, strong NVIDIA GB-series deployments, enterprise procurement advantage, and deep integration with Azure ML, security, and data services

   To rank higher Open more of its best frontier-scale GPU capacity to ordinary cloud customers instead of strategic anchor tenants

Rank history

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously