Lambda Labs
AI teams at startups, enterprises, government agencies, and research institutions that need GPU compute for training and inference.
Overview
Lambda is an AI infrastructure company founded in 2012 by ML engineers. It provides GPU cloud services and AI factories—integrated systems with high-density power, liquid cooling, and NVIDIA GPUs—for training and inference at scale. The company serves hyperscalers, enterprises in regulated industries, and frontier labs building trillion-parameter foundation models. Lambda has raised over $1.5B in Series E funding led by TWG Global, bringing total funding to roughly $2.3B, with a valuation of $2.5B as of February 2025. Headquartered in San Jose, California.
What it does
Lambda offers GPU cloud instances, 1-Click Clusters, and Superclusters for AI workloads. Instances provide self-serve, on-demand access to NVIDIA GPUs (B200, H100, A100, GH200, etc.) with per-hour pricing. 1-Click Clusters are production-ready clusters of 16 to 2,000+ GPUs, optimized for distributed training. Superclusters are single-tenant NVIDIA GB300 NVL72 clusters with InfiniBand for high security and performance. Lambda also provides orchestration and co-engineering support, and its Lambda Stack software simplifies GPU setup.
Key features
- On-demand GPU instances (B200, H100, A100, GH200, etc.)
- 1-Click Clusters for distributed training (16 to 2,000+ GPUs)
- Superclusters with single-tenant NVIDIA GB300 NVL72 and InfiniBand
- AI factories with integrated power, liquid cooling, and NVIDIA GPUs
- Managed orchestration and co-engineering support
- SOC 2 Type II compliance and single-tenant options
- Lambda Stack software for simplified GPU setup
Use cases
- Training foundation models
- Serving billions of tokens for inference
- Prototyping and testing AI models with on-demand instances
- Running large-scale distributed AI workloads
- Deploying AI in regulated industries with security requirements
Pricing
Pricing is per GPU/hour, plus applicable taxes. Reserved capacity (1-year+) requires contacting sales.
View current pricingPricing is gathered from the company's public pages and may change. Check the vendor's site before buying.
Pros and cons
Strengths
- Transparent per-hour pricing for instances and clusters
- Self-serve instances launch in minutes
- Single-tenant options for security and performance
- Expert support and co-engineering from ML engineers
- Strong funding and valuation indicate financial stability
Limitations
- Pricing for reserved capacity (1-year+) requires contacting sales
- No free tier or trial mentioned
- Availability issues reported for popular GPUs (e.g., H100)
- Enterprise-focused; may not suit small-scale or casual users
What sets it apart
- AI-only focus with 100% of engineering dedicated to AI workloads
- AI factories integrating power, cooling, and GPUs in one system
- Single-tenant superclusters with InfiniBand for security and performance
- Founded by ML engineers, offering deep technical expertise
Frequently asked questions
What GPUs does Lambda offer?
Lambda offers NVIDIA GPUs including B200, H100, A100, GH200, A10, A6000, and older models like V100 and Quadro RTX 6000.
How does Lambda pricing work?
Lambda charges per GPU per hour for instances and clusters. For example, an H100 SXM instance costs $3.99/hr, and a 16-GPU H100 cluster costs $6.16/GPU/hr. Reserved capacity for 1+ years requires contacting sales.
Can I get a free trial?
No free trial is mentioned on Lambda's website. You can launch a GPU instance on a pay-as-you-go basis.
Is Lambda SOC 2 compliant?
Yes, Lambda states it is SOC 2 Type II compliant and offers single-tenant options for security.
Who uses Lambda?
Lambda serves hyperscalers, enterprises in regulated industries, and frontier labs building trillion-parameter foundation models.
Sources
This profile was compiled from the company's own pages and public web research.
Last researched August 16, 2026.
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