About Lambda
Lambda provides GPU cloud capacity for AI training and inference, from single instances to large supercomputers. It also offers managed clusters and engineering help.
What it does
Customers can launch on-demand GPU instances or reserve clusters built on NVIDIA hardware. Single-tenant options are offered for sensitive work. For larger deployments, the company provides managed orchestration and co-engineering support, so your team can focus on models rather than infrastructure.
Key features
- On-demand GPU instances in minutes
- Clusters built on NVIDIA HGX and GB300 systems
- Single-tenant superclusters
- Managed cluster orchestration
- SOC 2 Type II certification
Who it's for
- AI labs training large models
- Startups testing GPU workloads
- Enterprises that need dedicated, private capacity
Pricing and good to know
Instances and reserved clusters are priced separately. The site links to a pricing page and a sales contact for large builds. If you handle regulated data, check the company's trust portal for security and compliance details before you start. The company also describes AI campuses with high-density power and liquid cooling, which matter for very large clusters.
Highlights
- Launch on-demand GPU instances
- Reserve clusters on NVIDIA hardware
- Use single-tenant superclusters
- Get managed cluster orchestration
- Review SOC 2 Type II certification
