Overview
Strengths & Best For
AWS EC2 P5 instances are powered by NVIDIA H100 Tensor Core GPUs (up to 8× H100, 640 GB HBM3, 3,200 Gbps EFA networking). P5e and P5en instances use NVIDIA H200 GPUs (up to 8× H200, 1,128 GB HBM3e). P5en adds Gen5 PCIe and third-generation EFA for 35% lower latency. All three families deploy in EC2 UltraClusters scaling to 20,000 GPUs with petabit-scale nonblocking networking delivering 20 exaflops aggregate. SageMaker HyperPod manages resilient training clusters at any scale. Amazon Bedrock provides serverless access to DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, and Writer Palmyra. 30+ global regions with enterprise SLAs.
- P5/P5e/P5en: H100 and H200 in UltraClusters up to 20,000 GPUs
- 20 exaflops aggregate compute in EC2 UltraClusters
- 3,200 Gbps EFA networking with GPUDirect RDMA
- SageMaker HyperPod for resilient distributed training
- Amazon Bedrock: serverless access to DeepSeek, MiniMax, Kimi, GLM, Palmyra
- 30+ global regions with enterprise SLAs and compliance certifications
- Highest on-demand GPU rates among all providers
- Complex pricing — on-demand vs reserved vs spot vs savings plans
- GPU quota increases require support tickets and can take days
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Daytona is a GPU cloud offering preemptible (spot) instances across a wide range of hardware including NVIDIA B300, B200, H200, H100, RTX PRO 6000, RTX 5090, RTX 4090, and AMD MI355X. All pricing is preemptible — no on-demand rates are published. Competitive spot pricing makes Daytona a cost-effective option for fault-tolerant AI training, batch inference, and research workloads that can tolerate interruption. Access to Blackwell-generation hardware (B300, B200) at preemptible rates is a notable differentiator for teams that need next-generation GPU performance at reduced cost.
- B300 and B200 Blackwell hardware at preemptible rates
- AMD MI355X availability
- Wide GPU catalog: H200, H100, RTX 5090, RTX 4090
- Competitive spot pricing across all SKUs
- RTX PRO 6000 Blackwell available
- Preemptible only — no on-demand pricing published
- Workloads must handle interruption
- Smaller provider — limited scale vs hyperscalers
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Key differences
AWS
P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure
Daytona
Preemptible GPU cloud — B300, B200, MI355X, H200, H100, RTX 5090 at spot rates