
Genesis Cloud
Best for GDPR-Compliant AI, European Data Sovereignty, Image Generation, Fine-Tuning

Best for Enterprise Production, Model Deployment, Massive Scale
Amazon Web Services is the worlds most comprehensive and broadly adopted cloud platform. For AI workloads, AWS provides EC2 P5 instances powered by NVIDIA H100 Tensor Core GPUs, interconnected with EFA for colossal model training.
| GPU Models | H100 (p5), A100 (p4), T4, V100, Graviton Inferentia |
| GPU Types | A100, H100, t4, V100 |
| Headquarters | Seattle, WA, USA |
| Founded | 2006 |
| Availability | Available Now |
| Website | aws.amazon.com ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Amazon Web Services (AWS) GPU cloud pricing starts from $1.00/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Amazon Web Services (AWS) offers H100 (p5), A100 (p4), T4, V100, Graviton Inferentia GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Amazon Web Services (AWS) operates data centers in Asia Pacific, EU West, Germany, Singapore, United Kingdom, US East, US West. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Amazon Web Services (AWS) and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Amazon Web Services (AWS) offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

Best for GDPR-Compliant AI, European Data Sovereignty, Image Generation, Fine-Tuning

Best for AI Inference, Image Generation, Fine-Tuning, Budget ML

Best for Environmentally conscious organizations, AI Training