
Amazon Web Services (AWS)
AvailableBest for Enterprise Production, Model Deployment, Massive Scale
Locations: Global (30+ regions)
Compare 5 cloud providers offering V100 (varies VRAM). Find real-time pricing, availability, and get matched with verified providers instantly.
V100 is a high-performance GPU available from multiple cloud providers. It offers strong capabilities for a wide range of AI and HPC workloads.
The spot market for V100 cloud compute varies widely by provider. On-demand pricing typically ranges from $1.50–$5/hr per GPU for single-instance access. For larger multi-GPU clusters (8x, 16x, or 64x GPU nodes), enterprise pricing with SLAs is negotiated directly with providers. Reserved capacity offers 30–60% discounts vs. on-demand pricing.
When evaluating providers for V100 GPU cloud, consider:

Best for Enterprise Production, Model Deployment, Massive Scale
Locations: Global (30+ regions)

Best for Enterprises, OpenAI Integrations, Hybrid Cloud
Locations: Global (60+ regions)

Best for European Startups, Eco-friendly Compute, Cost-effective Training
Locations: EU (Finland, Germany)


Best for ML Notebooks, AI Model Development, Research, Computer Vision
Locations: US East (New York), US West (California), EU West (Netherlands, UK)
V100 is commonly used for: AI training, inference, and high-performance computing. Its varies of VRAM makes it suitable for running large models that don't fit in smaller GPU memory.
V100 cloud pricing varies by provider and region, but typically ranges from $1.50/hr to $8/hr for single-GPU instances. Multi-GPU cluster pricing scales proportionally. Use the filters above to compare current market rates.
ComputeStacker currently lists 5 providers offering V100 GPU cloud access. These include a mix of hyperscalers, specialist AI cloud providers, and bare-metal GPU hosting services.
Yes — most providers on ComputeStacker offer on-demand hourly pricing for V100 instances. Reserved and spot pricing options are also available from many providers, offering discounts of 30–70% for committed usage.