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 logo

Crusoe

Provider 1

7
GPUs Available
Visit Website
TensorWave logo

TensorWave

Provider 2

3
GPUs Available
Visit Website

Comparison Overview

9
Total GPU Models
Crusoe logo
7
Crusoe GPUs
TensorWave logo
3
TensorWave GPUs
1
Direct Comparisons

Average Price Difference: $1.95/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 9Both available: 1Crusoe: 7TensorWave: 3
Showing 9 of 9 GPUs
Last updated: 2/7/2026, 11:25:53 PM
A100 PCIE
40GB VRAM •
CrusoeCrusoe
$1.45/hour
Updated: 2/6/2026
Best Price
Not Available
A100 SXM
80GB VRAM •
CrusoeCrusoe
$2.90/hour
2x GPU configuration
Updated: 2/7/2026
Best Price
Not Available
A40
48GB VRAM •
CrusoeCrusoe
$8.80/hour
8x GPU configuration
Updated: 2/7/2026
Best Price
Not Available
H100
80GB VRAM •
CrusoeCrusoe
$3.90/hour
Updated: 2/6/2026
Best Price
Not Available
H200
141GB VRAM •
CrusoeCrusoe
$4.29/hour
Updated: 2/6/2026
Best Price
Not Available
L40S
48GB VRAM •
CrusoeCrusoe
$5.80/hour
4x GPU configuration
Updated: 2/7/2026
Best Price
Not Available
MI300X
192GB VRAM •
CrusoeCrusoe
$3.45/hour
Updated: 2/6/2026
TensorWaveTensorWave
$1.50/hour
Updated: 6/2/2025
Best Price
Price Difference:+$1.95(+130.0%)
MI325X
256GB VRAM •
Not Available
TensorWaveTensorWave
$1.95/hour
Updated: 2/5/2026
Best Price
MI355X
288GB VRAM •
Not Available
TensorWaveTensorWave
$2.85/hour
Updated: 2/5/2026
Best Price

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

  1. 1
    Create an account

    Sign up for Crusoe Cloud services through their website

  2. 2
    Select GPU instance

    Choose from available GPU types (A100, A100_80G, or L40S)

  3. 3
    Configure storage

    Set up persistent storage options for your workloads

  4. 4
    Launch instance

    Deploy your instance with fast spin-up times

TensorWave

Get Started
  1. 1
    Request Access

    Sign up on the TensorWave website to get access to their platform.

  2. 2
    Choose a Service

    Select between Bare Metal servers or a managed Kubernetes cluster.

  3. 3
    Follow Quickstarts

    Utilize the documentation and quick-start guides for PyTorch, Docker, Kubernetes, and other tools.

  4. 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.