THE RESEARCH LIBRARY
Explore the consensus across leading AI platforms. Every study starts with a specific hosting need and makes the underlying evidence available for you to inspect.
Showing 1–11 of 11 results
Independent research · Open methodologyRunPod leads this 2026 study of GPU cloud hosting for AI training, named by all six AI platforms with an average listed position of 2.0. CoreWeave is best for large-scale distributed trainin
AWS is a strong fit for GPU cloud compute for AI training when a team needs H100/H200-class instances, multi-GPU distributed training, and flexible purchasing modes. The main limitation is c
CoreWeave fits AI teams needing NVIDIA GPU capacity for distributed training, especially those on Kubernetes or Slurm. It offers H100/H200/B200 and GB200/GB300 NVL72 with InfiniBand, but pub
Crusoe is a credible shortlist candidate for GPU cloud compute for AI training, with published H100 and H200 on-demand rates, InfiniBand multi-node clusters, and managed Kubernetes or Slurm.
Google Cloud is a strong fit for AI teams running multi-GPU H100 or A100 training on A3 and A2 VMs, with GKE or Slurm orchestration and Spot discounts up to 91%. The main drawbacks are proje
Lambda is a strong fit for AI teams needing NVIDIA H100, H200, or B200 GPUs for training. It offers turnkey CUDA/PyTorch environments, multi-GPU instances, and 1-Click Clusters with InfiniBa
Nebius is a good fit for AI teams needing self-service H100/H200/B200-class GPU capacity, multi-GPU training clusters, and optional preemptible pricing. Spot capacity is interruptible, and c
Oracle Cloud Infrastructure GPU Compute is a good, but not unequivocally strong, fit for GPU cloud compute for AI training. Three of the six included platforms named it during the ranking st
Paperspace is a good fit for AI teams that want on-demand A100, A100-80G, or H100 GPU machines, managed Jupyter notebooks, and preconfigured PyTorch/TensorFlow environments, but weaker for g
RunPod is a good fit for GPU cloud compute for AI training, especially for teams wanting containerized NVIDIA GPU capacity without long-term commitments.
Vast.ai is a good fit for cost-sensitive GPU cloud compute for AI training if your team can validate host environments, checkpoint workloads, and tolerate marketplace variability. H100-class
