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Compare GPU and LLM inference API pricing between Amazon AWS and TensorWave. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Amazon AWS Price | TensorWave 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: 4/21/2026 ★Best Price Not Available | ||||
H100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWS | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB 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: 4/21/2026 ★Best Price Not Available | ||||
H100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWS | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB 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
Powered by AMD Instinct™ Series GPUs including MI355X, MI325X, and MI300X for high-performance AI workloads.
Offers instances with up to 288GB of HBM3e VRAM per GPU, ideal for large models and memory-intensive workloads.
Provides both bare metal servers for maximum control and managed Kubernetes/Slurm clusters for orchestration.
Utilizes direct liquid cooling delivering up to 51% data center energy cost savings and improved efficiency.
Complete architecture that optimizes next-generation Ethernet for AI and HPC networking with high-speed storage.
SOC2 Type II certified and HIPAA compliant infrastructure for secure AI workloads.
Virtual servers in the cloud with a wide range of instance types.
Fully managed container orchestration service.
Managed Kubernetes service for container orchestration.
Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.
Kubernetes clusters for orchestrated AI workloads.
An enterprise inference platform designed for larger context windows and reduced latency.
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.
Guaranteed availability with full root access and transparent hourly pricing for MI355X, MI325X, and MI300X GPUs
Custom pricing for multi-node clusters with tailored networking configurations
Custom pricing for high-performance storage powered by Weka file system
Predictable costs without tokenized pricing models or hidden fees
Reduced costs for long-term contracts and high-volume usage commitments
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 on the TensorWave website to get access to their platform.
Select between Bare Metal servers or a managed Kubernetes cluster.
Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.
Deploy your AI model for training, fine-tuning, or inference.
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.
Primary data center and headquarters are located in Las Vegas, Nevada. The company is building the largest AMD-specific AI training cluster in North America.
Offers 'white-glove' onboarding and 24/7 dedicated AI/ML solutions engineers, extensive documentation with quickstart guides, and enterprise-grade support.