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Compare GPU and LLM inference API pricing between Amazon AWS and Hyperbolic. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $5.45/hour between comparable GPUs
| GPU Model ↑ | Amazon AWS Price | Hyperbolic Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/22/2026 ★Best Price Not Available | ||||
B200 192GB VRAM • Hyperbolic | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSHyperbolic | 8x GPU | ↑+$5.38(+358.7%) | ||
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/22/2026 $1.50/hour Updated: 4/15/2026 ★Best Price Price Difference:↑+$5.38(+358.7%) | ||||
H200 141GB VRAM • Amazon AWSHyperbolic | 8x GPU | ↑+$5.51(+229.7%) | ||
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/22/2026 $2.40/hour Updated: 4/15/2026 ★Best Price Price Difference:↑+$5.51(+229.7%) | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWS | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Hyperbolic | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 4090 24GB VRAM • Hyperbolic | Not Available | — | ||
RTX 4090 24GB 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 AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/22/2026 ★Best Price Not Available | ||||
B200 192GB VRAM • Hyperbolic | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSHyperbolic | 8x GPU | ↑+$5.38(+358.7%) | ||
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/22/2026 $1.50/hour Updated: 4/15/2026 ★Best Price Price Difference:↑+$5.38(+358.7%) | ||||
H200 141GB VRAM • Amazon AWSHyperbolic | 8x GPU | ↑+$5.51(+229.7%) | ||
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/22/2026 $2.40/hour Updated: 4/15/2026 ★Best Price Price Difference:↑+$5.51(+229.7%) | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWS | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Hyperbolic | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 4090 24GB VRAM • Hyperbolic | Not Available | — | ||
RTX 4090 24GB 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 Amazon AWS 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
Scale up or down capacity as needed with multi-tenant GPU clusters that deploy in under a minute
Access latest state-of-the-art AI models in one click with OpenAI-compatible API
Secure guaranteed capacity for long-term workloads at discounted prices
Host high-throughput inference with unlimited requests and hourly pricing
Skip setup and launch GPU workloads instantly with ready-to-use images for PyTorch, TensorFlow, and CUDA
Virtual servers in the cloud with a wide range of instance types.
Fully managed container orchestration service.
Managed Kubernetes service for container orchestration.
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.
Multi-tenant GPU clusters with instant deployment and pay-as-you-go pricing
Guaranteed capacity for long-term workloads with discounted prepaid pricing
Pay-per-use inference API with no infrastructure management required
Single-tenant GPUs with private endpoints and hourly pricing
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 at app.hyperbolic.ai with no forms or sales calls required
Pay with credit card, wire/ACH upfront, or cryptocurrency
Choose GPU type and count, deploy in under 60 seconds with SSH access
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.
Documentation available, self-service console, and AI consulting services for scaling teams