Amazon AWS vs TensorWave
Compare GPU pricing, features, and specifications between Amazon AWS and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.
Amazon AWS
Provider 1
TensorWave
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Amazon AWS Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS |  $1.63/hr★ Best | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $74.88/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWS | $3.93/hr★ Best 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Amazon AWS | $5.20/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Amazon AWS | $93.60/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available |  $1.71/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | $2.25/hr★ Best | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | $2.95/hr★ Best | — | |
MI355X 288GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | $1.63/hr★ Best | Not Available | — | |
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | $1.48/hr★ Best 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | $74.88/hr★ Best 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWS | $3.93/hr★ Best 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Amazon AWS | $5.20/hr★ Best 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Amazon AWS | $93.60/hr★ Best 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
MI300X 192GB VRAM • TensorWave | Not Available | $1.71/hr★ Best | — | |
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • TensorWave | Not Available | $2.25/hr★ Best | — | |
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | $2.95/hr★ Best | — | |
MI355X 288GB VRAM • | ||||
Features Comparison
Amazon AWS
- Global Infrastructure
Extensive network of data centers across multiple regions worldwide
- Pay-as-you-go Pricing
Flexible pricing model with no upfront commitments required
- Advanced Security
Comprehensive security tools and compliance certifications
- Auto Scaling
Automatically adjust resources based on demand
- Integrated Services
Extensive ecosystem of services that work seamlessly together
- Developer Tools
Comprehensive suite of tools for development, deployment, and management
TensorWave
- AMD Instinct Accelerators
Powered by AMD Instinct™ Series GPUs for high-performance AI workloads.
- High VRAM GPUs
Offers instances with 192GB of VRAM per GPU, ideal for large models.
- Bare Metal & Kubernetes
Provides both bare metal servers for maximum control and managed Kubernetes for orchestration.
- Direct Liquid Cooling
Utilizes direct liquid cooling to reduce data center energy costs and improve efficiency.
- High-Speed Network Storage
Features high-speed network storage to support demanding AI pipelines.
- ROCm Software Ecosystem
Leverages the AMD ROCm open software ecosystem to avoid vendor lock-in.
Pros & Cons
Amazon AWS
Advantages
- Broad range of compute options including GPUs
- Highly scalable and reliable infrastructure
- Pay-as-you-go pricing with cost optimization tools
- Extensive global network of data centers
Considerations
- Complex pricing structure
- Steep learning curve for new users
- Potential for unexpected costs without proper management
TensorWave
Advantages
- Specialized in high-performance AMD GPUs
- Offers GPUs with large VRAM (192GB)
- Claims better price-to-performance than competitors
- Provides 'white-glove' onboarding and support
Considerations
- A newer and less established company (founded in 2023)
- Exclusively focused on AMD, which may be a limitation for some users
- Limited publicly available information on pricing
Compute Services
Amazon AWS
Amazon EC2
Virtual servers in the cloud with a wide range of instance types.
Amazon ECS
Fully managed container orchestration service.
- Support for Docker containers
- Integration with other AWS services
Amazon EKS
Managed Kubernetes service for container orchestration.
- Certified Kubernetes conformant
- Integrates with AWS networking and security services
TensorWave
AMD GPU Instances
Bare metal servers and managed Kubernetes clusters with AMD Instinct GPUs.
Managed Kubernetes
Kubernetes clusters for orchestrated AI workloads.
- Scalable from 8 to 1024 GPUs
- Interconnected with 3.2TB/s RoCE v2 networking
Inference Platform (Manifest)
An enterprise inference platform designed for larger context windows and reduced latency.
- Accelerated reasoning
- Secure and private data storage
Pricing Options
Amazon AWS
On-Demand Instances
Pay for compute capacity by the second with no long-term commitments.
Spot Instances
Use spare EC2 capacity at up to 90% off the On-Demand price.
Reserved Instances
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Savings Plans
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
TensorWave
Getting Started
Amazon AWS
- 1
Sign up for AWS
Create an AWS account to access the cloud platform.
- 2
Choose a compute service
Select from EC2, Lambda, or container services based on your workload needs.
- 3
Launch an instance
Configure and launch your first compute instance or container.
- 4
Set up security
Configure security groups and access controls for your resources.
- 5
Monitor and optimize
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
TensorWave
- 1
Request Access
Sign up on the TensorWave website to get access to their platform.
- 2
Choose a Service
Select between Bare Metal servers or a managed Kubernetes cluster.
- 3
Follow Quickstarts
Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.
- 4
Deploy Your Model
Deploy your AI model for training, fine-tuning, or inference.
Support & Global Availability
Amazon AWS
Global Regions
30+ regions and 100+ availability zones worldwide.
Support
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
TensorWave
Global Regions
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.
Support
Offers 'white-glove' onboarding and support, extensive documentation, and a company blog.
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