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AWS vs CoreWeave: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for AWS and CoreWeave. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
Provider type
Hyperscaler
Specialist
Founded
2006
2017
Headquarters
Seattle, WA
Livingston, NJ
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
On-demand, Spot, Reserved, Capacity plans (1yr/3yr)
Min commitment
None (on-demand)
None (on-demand)
Support tier
Basic → Enterprise
Standard → Enterprise
Regions
5 regions
3 regions

Strengths & Best For

AWS

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.

Strengths
  • 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
Weaknesses
  • 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
Best For
Hyperscale AI training requiring 1,000+ GPUsEnterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams already invested in the AWS ecosystemProduction ML inference via SageMaker
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CoreWeave

CoreWeave is the world's leading AI-native cloud, recognized as a Visionary in the 2026 Gartner® Magic Quadrant™ for Cloud AI Infrastructure and the only AI cloud to earn SemiAnalysis Platinum ClusterMAX™ twice. GB300 NVL72, GB200 NVL72, HGX B300, HGX B200, RTX PRO 6000, GH200, HGX H200, HGX H100, L40S, A100 — also available in Europe. Spot pricing available at 40–60% discount. NVIDIA Vera Rubin NVL72 available. Zero-egress data migration (CoreWeave 0EM). Trusted by OpenAI, Mistral AI, IBM, Jane Street, Aston Martin Aramco F1. Up to 47% TCO savings on 3-year capacity plans.

Strengths
  • GB300 NVL72 and GB200 NVL72 — latest Vera Rubin and Blackwell hardware
  • HGX B200 and HGX H200 — latest Blackwell and Hopper nodes
  • Spot pricing at 40–60% off on-demand across all GPU types
  • Zero-egress data migration (CoreWeave 0EM)
  • Gartner Visionary 2026 — only AI cloud with Platinum ClusterMAX™
  • Trusted by OpenAI, Mistral AI, IBM, Jane Street
Weaknesses
  • Sales-led process for large clusters — not fully self-serve
  • Fewer regions than hyperscalers (US and EU only)
  • Minimum spend requirements for enterprise contracts
Best For
Frontier model training at hyperscaleProduction LLM inference at low latencyAI labs and enterprises needing maximum cluster reliabilityTeams cutting hyperscaler costs — up to 47% TCO savings on 3-year plans
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Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1
CoreWeave — 3 regions
US-EastUS-WestEU-West

Popular Comparisons

Key differences

AWS

P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure

CoreWeave

GB300 NVL72, HGX B200, HGX H200 — Gartner Visionary 2026

AttributeAWSCoreWeave
Provider typehyperscalerspecialist
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansOn-demand, Spot, Reserved, Capacity plans (1yr/3yr)
Min commitmentNone (on-demand)None (on-demand)
Regions5 (us-east-1, us-west-2, eu-west-1, +2)3 (US-East, US-West, EU-West)
Support tierBasic → EnterpriseStandard → Enterprise
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Frontier model training at hyperscale, Production LLM inference at low latency
Founded / HQ2006 · Seattle, WA2017 · Livingston, NJ