Find a GPU-first platform for GPU-as-a-Service access.

If you want a GPU-first cloud rather than a general-purpose hyperscaler like AWS/Azure/GCP, these are the strongest options I’d shortlist:

• Runpod — Best general-purpose/self-service pick. Dedicated GPU Pods, serverless inference, and clusters, with per-second billing and deployments advertised in under 30 seconds. It currently spans 31 regions. Good for individual developers through AI startups. (runpod.io)
• Lambda — Best for moving from individual GPUs into serious training clusters. Offers pay-as-you-go 1–8 GPU instances plus 16–2,000+ GPU clusters, including current NVIDIA architectures such as B200, H200 and H100. (lambda.ai)
• CoreWeave — Best enterprise/large-scale AI infrastructure option. It is purpose-built around accelerated computing and offers on-demand/spot GPU instances, managed Kubernetes, AI-optimized storage, and large NVIDIA GPU deployments. (coreweave.com)
• Vast.ai — Best if low-cost, marketplace-style GPU access is the priority. Its GPU Cloud covers 40+ data centers and 20,000+ GPUs, with provisioning through CLI, Python SDK, or REST API; it also offers serverless and clusters. (vast.ai)

My default choice would be Runpod for easy GPU-as-a-Service access, Lambda for dedicated AI training infrastructure, and CoreWeave if you're purchasing at enterprise scale.

Sources:
runpod.io
lambda.ai
coreweave.com
vast.ai