AWS vs Oracle Cloud: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for AWS and Oracle Cloud. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
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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Oracle Cloud Infrastructure (OCI) offers a wide GPU catalog across hyperscaler and bare-metal tiers: NVIDIA GB200 Grace Blackwell Superchips in superclusters scaling to 131,072 GPUs, HGX B200, H200, H100, L40S, A100, A10, and AMD Instinct MI355X, MI300X, and MI325X. Bare-metal instances deliver full hardware performance with no virtualization overhead. RDMA cluster networking provides up to 3,200 Gbps bandwidth. NVIDIA DGX Cloud on OCI provides serverless AI training. OCI Supercluster delivers 20 exaflops aggregate. AMD MI355X available via try-before-you-buy program.
- GB200 NVL72 superclusters scaling to 131,072 GPUs
- AMD MI355X — 192 GB VRAM for large-model inference
- Bare-metal instances — no virtualization overhead
- NVIDIA DGX Cloud on OCI for serverless AI training
- 3,200 Gbps RDMA cluster networking
- AMD MI300X and MI325X available alongside NVIDIA catalog
- Smaller ecosystem and fewer ML tooling integrations vs AWS/GCP
- Support quality inconsistent outside enterprise tiers
- AMD GPU availability limited vs NVIDIA options
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Key differences
AWS
P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure
Oracle Cloud
GB200 NVL72 superclusters up to 131,072 GPUs — NVIDIA and AMD GPU catalog across hyperscale and bare-metal