Lambda Labs vs Theta EdgeCloud

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

Lambda Labs logo

Lambda Labs

Provider 1

11
GPUs Available
Visit Website
Theta EdgeCloud logo

Theta EdgeCloud

Provider 2

0
GPUs Available
Visit Website

Comparison Overview

11
Total GPU Models
Lambda Labs logo
11
Lambda Labs GPUs
Theta EdgeCloud logo
0
Theta EdgeCloud GPUs
0
Direct Comparisons

GPU Pricing Comparison

Total GPUs: 11Both available: 0Lambda Labs: 11Theta EdgeCloud: 0
Showing 11 of 11 GPUs
Last updated: 3/27/2026, 7:18:45 AM
A10
24GB VRAM •
Lambda LabsLambda Labs
$0.86/hour
Updated: 3/27/2026
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
$1.29/hour
2x GPU configuration
Updated: 3/26/2026
Best Price
Not Available
B200
192GB VRAM •
Lambda LabsLambda Labs
$5.74/hour
8x GPU configuration
Updated: 3/27/2026
Best Price
Not Available
GH200
96GB VRAM •
Lambda LabsLambda Labs
$1.99/hour
Updated: 3/27/2026
Best Price
Not Available
H100
80GB VRAM •
Lambda LabsLambda Labs
$2.49/hour
Updated: 3/14/2026
Best Price
Not Available
H100 SXM
80GB VRAM •
Lambda LabsLambda Labs
$2.86/hour
Updated: 3/27/2026
Best Price
Not Available
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: 3/27/2026
Best Price
Not Available
RTX A6000
48GB VRAM •
Lambda LabsLambda Labs
$0.80/hour
Updated: 3/27/2026
Best Price
Not Available
Tesla V100
32GB VRAM •
Lambda LabsLambda Labs
$0.55/hour
8x GPU configuration
Updated: 3/27/2026
Best Price
Not Available

Features Comparison

Lambda Labs

    Theta EdgeCloud

    • Hybrid Cloud-Edge Architecture

      Combines traditional cloud GPUs via Google Cloud and AWS with 30,000+ community-operated edge nodes for flexible compute.

    • Decentralized GPU Marketplace

      Supply-demand driven pricing where node operators set rates and users select GPUs based on availability and cost.

    • Intelligent Workload Routing

      Routes heavy training jobs to cloud/datacenter GPUs and distributes parallelizable inference across edge nodes.

    • Automatic Failover

      Reroutes jobs to healthy nodes if a community node goes offline mid-task, ensuring workload continuity.

    • Containerized Workloads

      Docker-based job execution with Jupyter Notebook and SSH access for flexible development environments.

    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

    Theta EdgeCloud

    Advantages
    • 50-70% cost savings compared to AWS, Azure, and GCP
    • Hybrid architecture combining cloud and edge for flexible scaling
    • 30,000+ globally distributed edge nodes providing massive compute capacity
    • Strong institutional customers including Stanford, KAIST, and NTU Singapore
    Considerations
    • Dynamic marketplace pricing with no fixed published rates
    • Relies on crypto token ecosystem (TFuel) for payments and rewards
    • Community node reliability can vary compared to dedicated data centers

    Compute Services

    Lambda Labs

    Theta EdgeCloud

    EdgeCloud GPU Instances

    On-demand GPU instances from distributed edge nodes and cloud partnerships.

    Pricing Options

    Lambda Labs

    Theta EdgeCloud

    Marketplace Pricing

    Dynamic pricing set by node operators in a supply-demand GPU marketplace.

    On-Demand

    Hourly billing with no long-term commitments or contracts required.

    Getting Started

    Lambda Labs

    Get Started

      Theta EdgeCloud

      Get Started
      1. 1
        Create a Theta EdgeCloud account

        Sign up at thetaedgecloud.com to access the GPU marketplace dashboard.

      2. 2
        Browse available GPU instances

        Explore available H100, A100, 4090, and 3090 instances with marketplace pricing from node operators.

      3. 3
        Select GPU and configure workload

        Choose a GPU instance and configure your containerized workload with Docker, Jupyter Notebook, or SSH access.

      4. 4
        Deploy and monitor

        Launch your workload with automatic failover and monitor progress through the dashboard.

      Support & Global Availability

      Lambda Labs

      Theta EdgeCloud

      Global Regions

      30,000+ globally distributed edge nodes with cloud capacity via Google Cloud and AWS regions.

      Support

      Documentation at docs.thetatoken.org, dashboard monitoring, and community support channels.