Lambda Labs vs Vast.ai Comparison

Detailed comparison of features, pricing, and capabilities

Last updated May 1, 2026

Overview

Compare key metrics and features at a glance

Lambda Labs logo

Lambda Labs

https://lambdalabs.com

Lambda Labs (also known as Lambda) is a cloud computing and hardware company specializing in GPU-based infrastructure for AI and machine learning workloads. The company offers on-demand and reserved GPU cloud instances, as well as on-premise GPU servers and workstations, designed for training and deploying deep learning models. Lambda serves researchers, startups, and enterprises seeking high-performance compute at competitive pricing compared to hyperscale cloud providers.

Starting Price$496.8/mo
Founded2012
Employees51-200
CategoryAI Cloud Infrastructure
Vast.ai logo

Vast.ai

https://vast.ai

Vast.ai is a decentralized cloud GPU marketplace that connects individuals and businesses who need GPU compute resources with hosts who have idle GPU hardware available for rent. The platform allows users to rent GPU instances at significantly lower prices than traditional cloud providers by aggregating consumer and data center GPUs from around the world. Vast.ai supports a wide range of use cases including machine learning training, inference, rendering, and other compute-intensive workloads.

Starting PriceContact Sales
Founded2017
Employees11-50
CategoryAI Cloud Infrastructure

Quick Comparison

DetailLambda LabsVast.ai
CategoryAI Cloud InfrastructureAI Cloud Infrastructure
Starting Price$496.8/moContact Sales
Plans Available93
Features Tracked1516
Founded20122017
HeadquartersSan Francisco, USASan Francisco, USA

Features

Detailed feature-by-feature comparison

Feature Comparison

Feature
Lambda Labs logo
Lambda Labs
Vast.ai logo
Vast.ai
api
API Monitoring
CLI & SDK
REST API
core
1-Click Clusters
Bare Metal Instances
Block Storage
Clusters for Training
Diverse GPU Support
GPU Instances
GPU Marketplace
Instance Filtering
Interruptible Instances
Lambda Stack
NVIDIA InfiniBand
No Egress Fees
On-Demand Instances
Pay by the Minute
Per-Second Billing
Pre-Built Templates
Private Cloud
Real-Time Pricing
Reserved Instances
Serverless Inference
Superclusters
Zero Throttling
security
Biometric Access
Direct Payload Delivery
SOC2 Certification
Single-Tenant Clusters
support
24/7 Expert Support
Dashboard Monitoring

Pricing

Compare pricing plans and value for money

Lambda Labs logo

Lambda Labs

From $496.8/mo

1-Click Cluster NVIDIA HGX B200 (Short Term)$7099.2/mo
1-Click Cluster NVIDIA HGX B200 (Long Term)Custom
1-Click Cluster NVIDIA H100 (Short Term)$4435.2/mo
Instance: 8x NVIDIA B200 SXM6$4816.8/mo
Instance: 8x NVIDIA H100 SXM$2872.8/mo
Instance: 1x NVIDIA GH200$1648.8/mo
Instance: 1x NVIDIA A100 SXM (40GB)$1432.8/mo
Instance: 1x NVIDIA A6000$784.8/mo
Instance: 1x NVIDIA Quadro RTX 6000$496.8/mo

Price Components

  • GPU Hour: $9.86/hour
  • Reserved Capacity: $0/cluster
  • GPU Hour: $6.16/hour
  • GPU Hour: $6.69/hour
  • GPU Hour: $3.99/hour

Best For

ML researchers and startups running large-scale distributed training jobs who prioritize cost efficiency and hardware control over managed service breadth.

Vast.ai logo

Vast.ai

Contact Sales

On-DemandCustom
InterruptibleCustom
ReservedCustom

Price Components

  • GPU Usage: $0/second
  • GPU Usage: $0/second
  • Reserved Capacity: $0/term

Best For

Cost-sensitive ML practitioners and researchers running batch training, inference, or rendering on flexible, preemptible GPU workloads.

Integrations

See which third-party services are supported

Supported Integrations

Coming Soon

Integration comparison data for Lambda Labs, Vast.ai is being collected and will be available soon.

Strengths & Limitations

Key strengths and limitations of each service

Lambda Labs logo

Lambda Labs

ML researchers and startups running large-scale distributed training jobs who prioritize cost efficiency and hardware control over managed service breadth.

Strengths
  • Per-second billing with no egress fees undercuts hyperscale providers on total cost of ownership for GPU workloads
  • Bare metal access and Quantum-2 InfiniBand networking enable efficient distributed training across hundreds of GPUs
  • Lambda Stack pre-installation eliminates environment setup friction, reducing time-to-training from days to minutes
Limitations
  • Smaller scale and regional availability compared to AWS, Google Cloud, and Azure limits enterprise multi-region deployments
  • Limited managed services ecosystem; users handle more infrastructure complexity than with hyperscale competitors
Vast.ai logo

Vast.ai

Cost-sensitive ML practitioners and researchers running batch training, inference, or rendering on flexible, preemptible GPU workloads.

Strengths
  • Decentralized marketplace aggregates 20,000+ GPUs worldwide, offering 3-6x savings via dynamic real-time pricing over hyperscalers.
  • Per-second billing with on-demand, interruptible (50%+ cheaper), and reserved options for flexible cost control.
  • Supports diverse high-end GPUs like RTX 4090, A100, H200 with pre-built AI templates and multi-GPU configs.
  • Instant deployment via web, CLI, SDK, API, and native Docker for rapid ML training and inference.
Limitations
  • Interruptible instances risk preemption, unsuitable for production needing guaranteed uptime.
  • Decentralized peer-to-peer model may yield inconsistent reliability versus managed hyperscaler infrastructure.
  • Small team (11-50 employees) limits enterprise-grade support and scale compared to giants like AWS.

Company Info

Company details and background

Lambda Labs logo

Lambda Labs

Founded
2012
Headquarters
San Francisco, USA
Employees
51-200
Funding
Series C
Vast.ai logo

Vast.ai

Founded
2017
Headquarters
San Francisco, USA
Employees
11-50
Funding
Seed

Comparison FAQ

Common questions about comparing Lambda Labs and Vast.ai

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