
Amazon Web Services (AWS)
AvailableBest for Enterprise Production, Model Deployment, Massive Scale
Locations: Global (30+ regions)
Compare 20 cloud providers offering NVIDIA A100 (40 GB / 80 GB HBM2e VRAM). Find real-time pricing, availability, and get matched with verified providers instantly.
The NVIDIA A100 is the industry backbone of enterprise AI compute, widely used by OpenAI, DeepMind, and thousands of AI labs. Available in 40 GB and 80 GB variants, the A100 offers exceptional performance across training and inference workloads with mature software ecosystem support.
The spot market for A100 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 A100 GPU cloud, consider:

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

Best for Enterprise LLM Training, HPC, AI Inference at Scale
Locations: US East (NJ, VA), US West (CA), EU West (UK, Sweden, Netherlands)

Best for AI Innovation, TPU Training, MLOps (Vertex AI)
Locations: Global (35+ regions)

Best for Finetuning Open Source Models, Serverless inference endpoints
Locations: US, EU

Best for LLM Serverless APIs, Fast Image Generation, Voice AI
Locations: US East, US West

Best for LLM Training, AI Research, Fine-Tuning
Locations: US East (Texas), US West (California, Utah), Europe (UK)

Best for Production AI Model Serving, Custom Model Inference
Locations: US East, US West

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

Best for Serverless Image Generation, LLM API inference, Open-Source Model Hosting
Locations: US, EU

Best for Serverless Inference, Ad-hoc Python scripts, Quick Prototyping
Locations: US East, US West, Europe

Best for Distributed Computing, Ray workload scaling, LLM hosting
Locations: US East, US West

Best for Budget Compute, Side Projects, Decentralized Rendering
Locations: Global Decentralized Market

Best for Scale-to-zero Inference, Custom Model Serving, Low-Latency APIs
Locations: US, EU


Best for AI Inference, Image Generation, Fine-Tuning, Budget ML
Locations: US East, US West, EU West (Norway, France), Asia Pacific (Singapore)

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

Best for Edge AI, Application Developers requiring unified infrastructure, Web Apps + AI
Locations: Global (30+ Data Centers)

Best for Kubernetes-native AI applications, Developer deployments
Locations: UK, US, Europe

Best for No-code Finetuning, AI Application Developers, Quick Prototyping
Locations: Global (Decentralized + Core)

Best for European Enterprise AI, Massive Scale LLM Training, HPC
Locations: EU (Finland)
NVIDIA A100 is commonly used for: LLM fine-tuning, distributed training, AI inference at scale. Its 40 GB / 80 GB HBM2e of VRAM makes it suitable for running large models that don't fit in smaller GPU memory.
NVIDIA A100 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 20 providers offering A100 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 A100 instances. Reserved and spot pricing options are also available from many providers, offering discounts of 30–70% for committed usage.