Crusoe vs TensorWave
Compare GPU pricing, features, and specifications between Crusoe and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.
Crusoe
Provider 1
TensorWave
Provider 2
Comparison Overview
Average Price Difference: $1.95/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Crusoe Price | TensorWave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Crusoe | 8x GPU | Not Available | — | |
A40 48GB VRAM • | ||||
H100 80GB VRAM • Crusoe | Not Available | — | ||
H100 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | 4x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • CrusoeTensorWave | ↑+$1.95(+130.0%) | |||
MI300X 192GB VRAM • $3.45/hour Updated: 2/6/2026 $1.50/hour Updated: 6/2/2025 ★Best Price Price Difference:↑+$1.95(+130.0%) | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB VRAM • | ||||
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | 2x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Crusoe | 8x GPU | Not Available | — | |
A40 48GB VRAM • | ||||
H100 80GB VRAM • Crusoe | Not Available | — | ||
H100 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | 4x GPU | Not Available | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • CrusoeTensorWave | ↑+$1.95(+130.0%) | |||
MI300X 192GB VRAM • $3.45/hour Updated: 2/6/2026 $1.50/hour Updated: 6/2/2025 ★Best Price Price Difference:↑+$1.95(+130.0%) | ||||
MI325X 256GB VRAM • TensorWave | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • TensorWave | Not Available | — | ||
MI355X 288GB VRAM • | ||||
Features Comparison
Crusoe
- Sustainable Computing
Powered by stranded and wasted energy sources to reduce carbon emissions
- Fast Spin Up
Machines are deployed quickly when they are launched
- Persistent Storage
Disk storage that can be used across multiple instances
- SXM Support
Provides instances with NVIDIA SXM GPU interconnects
- SLA Guarantee
Provider offers an SLA on uptime and performance
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
Crusoe
Advantages
- Great GPU availability for on-demand use
- Affordable pricing for GPU instances
- Environmentally sustainable approach using stranded energy
- SLA guarantee on uptime and performance
Considerations
- Limited GPU variety (primarily A100, A100_80G, and L40S)
- Regional focus rather than global presence
- Newer player in the cloud GPU market
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
Crusoe
GPU Instances
High-performance GPU instances powered by NVIDIA GPUs
Reserved Clusters
Large-scale reserved GPU clusters for enterprise and research workloads
- Custom node configurations
- Flexible interconnect options
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
Crusoe
TensorWave
Getting Started
Crusoe
- 1
Create an account
Sign up for Crusoe Cloud services through their website
- 2
Select GPU instance
Choose from available GPU types (A100, A100_80G, or L40S)
- 3
Configure storage
Set up persistent storage options for your workloads
- 4
Launch instance
Deploy your instance with fast spin-up times
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
Crusoe
Global Regions
Strategically located data centers in low-cost energy areas of the United States
Support
Documentation, SOC II certified infrastructure
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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