Lambda Labs vs TensorWave

Compare GPU pricing, features, and specifications between Lambda Labs and TensorWave cloud providers. Find the best deals for AI training, inference, and ML workloads.

Lambda Labs logo

Lambda Labs

Provider 1

10
GPUs Available
Visit Website
TensorWave logo

TensorWave

Provider 2

3
GPUs Available
Visit Website

Comparison Overview

13
Total GPU Models
Lambda Labs logo
10
Lambda Labs GPUs
TensorWave logo
3
TensorWave GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 13Both available: 0Lambda Labs: 10TensorWave: 3
Showing 13 of 13 GPUs
Last updated: 2/22/2026, 12:36:53 PM
A10
24GB VRAM •
Lambda LabsLambda Labs
$0.75/hour
Updated: 2/22/2026
Best Price
Not Available
A100 PCIE
40GB VRAM •
Lambda LabsLambda Labs
$1.29/hour
Updated: 3/9/2025
Best Price
Not Available
A100 SXM
80GB VRAM •
Lambda LabsLambda Labs
$10.32/hour
8x GPU configuration
Updated: 2/22/2026
Best Price
Not Available
B200
192GB VRAM •
Lambda LabsLambda Labs
$5.29/hour
Updated: 2/22/2026
Best Price
Not Available
GH200
96GB VRAM •
Lambda LabsLambda Labs
$1.99/hour
Updated: 2/22/2026
Best Price
Not Available
H100
80GB VRAM •
Lambda LabsLambda Labs
$2.49/hour
Updated: 2/22/2026
Best Price
Not Available
MI300X
192GB VRAM •
Not Available
TensorWaveTensorWave
$1.71/hour
Updated: 2/18/2026
Best Price
MI325X
256GB VRAM •
Not Available
TensorWaveTensorWave
$2.25/hour
Updated: 2/18/2026
Best Price
MI355X
288GB VRAM •
Not Available
TensorWaveTensorWave
$2.95/hour
Updated: 2/18/2026
Best Price
RTX 6000 Ada
48GB VRAM •
Lambda LabsLambda Labs
$0.50/hour
Updated: 1/21/2026
Best Price
Not Available
RTX 6000 Pro
96GB VRAM •
Lambda LabsLambda Labs
$0.50/hour
Updated: 2/22/2026
Best Price
Not Available
RTX A6000
48GB VRAM •
Lambda LabsLambda Labs
$3.20/hour
4x GPU configuration
Updated: 2/22/2026
Best Price
Not Available
Tesla V100
32GB VRAM •
Lambda LabsLambda Labs
$4.40/hour
8x GPU configuration
Updated: 2/22/2026
Best Price
Not Available

Features Comparison

Lambda Labs

    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

    Lambda Labs

    Advantages
    • Early access to latest NVIDIA GPUs (H100, H200, Blackwell)
    • Specialized for AI workloads
    • One-click Jupyter access
    • Pre-installed popular ML frameworks
    Considerations
    • Primarily focused on AI and ML workloads
    • Limited global data center presence compared to major cloud providers
    • 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

    Lambda Labs

    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

    Lambda Labs

    TensorWave

    Getting Started

    Lambda Labs

    Get Started

      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

      Lambda Labs

      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.