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Compare GPU and LLM inference API pricing between Amazon AWS and CoreWeave. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.69/hour between comparable GPUs
| GPU Model ↑ | Amazon AWS Price | CoreWeave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSCoreWeave | 8x GPU | 8x GPU | ↑+$0.04(+1.7%) | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/17/2026 $2.70/hour 8x GPU configuration Updated: 4/17/2026 ★Best Price Price Difference:↑+$0.04(+1.7%) | ||||
B200 192GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSCoreWeave | 8x GPU | 8x GPU | ↑+$0.72(+11.8%) | |
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/17/2026 $6.16/hour 8x GPU configuration Updated: 4/17/2026 ★Best Price Price Difference:↑+$0.72(+11.8%) | ||||
H200 141GB VRAM • Amazon AWSCoreWeave | 8x GPU | 8x GPU | ↑+$1.61(+25.5%) | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/17/2026 $6.30/hour 8x GPU configuration Updated: 4/17/2026 ★Best Price Price Difference:↑+$1.61(+25.5%) | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWSCoreWeave | 8x GPU | ↓$0.39(17.3%) | ||
L40S 48GB VRAM • $1.86/hour Updated: 4/17/2026 ★Best Price $2.25/hour 8x GPU configuration Updated: 4/17/2026 Price Difference:↓$0.39(17.3%) | ||||
RTX PRO 6000 96GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Amazon AWS | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWSCoreWeave | 8x GPU | 8x GPU | ↑+$0.04(+1.7%) | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/17/2026 $2.70/hour 8x GPU configuration Updated: 4/17/2026 ★Best Price Price Difference:↑+$0.04(+1.7%) | ||||
B200 192GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSCoreWeave | 8x GPU | 8x GPU | ↑+$0.72(+11.8%) | |
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/17/2026 $6.16/hour 8x GPU configuration Updated: 4/17/2026 ★Best Price Price Difference:↑+$0.72(+11.8%) | ||||
H200 141GB VRAM • Amazon AWSCoreWeave | 8x GPU | 8x GPU | ↑+$1.61(+25.5%) | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/17/2026 $6.30/hour 8x GPU configuration Updated: 4/17/2026 ★Best Price Price Difference:↑+$1.61(+25.5%) | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWSCoreWeave | 8x GPU | ↓$0.39(17.3%) | ||
L40S 48GB VRAM • $1.86/hour Updated: 4/17/2026 ★Best Price $2.25/hour 8x GPU configuration Updated: 4/17/2026 Price Difference:↓$0.39(17.3%) | ||||
RTX PRO 6000 96GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Amazon AWS | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare CoreWeave with another leading provider
Extensive network of data centers across multiple regions worldwide
Flexible pricing model with no upfront commitments required
Comprehensive security tools and compliance certifications
Automatically adjust resources based on demand
Extensive ecosystem of services that work seamlessly together
Comprehensive suite of tools for development, deployment, and management
Purpose-built AI-native platform with Kubernetes-native developer experience
First-to-market access to the latest NVIDIA GPUs including H100, H200, and Blackwell architecture
Unified security, talent services, and observability platform for large-scale AI operations
High-performance clusters with InfiniBand networking for optimal scale-out connectivity
Virtual servers in the cloud with a wide range of instance types.
Fully managed container orchestration service.
Managed Kubernetes service for container orchestration.
On-demand and reserved GPU instances with latest NVIDIA hardware
High-performance CPU instances to complement GPU workloads
Pay for compute capacity by the second with no long-term commitments.
Use spare EC2 capacity at up to 90% off the On-Demand price.
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
Pay-per-hour GPU and CPU instances with flexible scaling
Committed usage discounts up to 60% over on-demand pricing
No ingress, egress, or transfer fees for data movement
Create an AWS account to access the cloud platform.
Select from EC2, Lambda, or container services based on your workload needs.
Configure and launch your first compute instance or container.
Configure security groups and access controls for your resources.
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
Sign up for CoreWeave Cloud platform access
Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture
Use Kubernetes-native tools for workload deployment and scaling
30+ regions and 100+ availability zones worldwide.
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
Deployments across North America with expanding global presence
24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise