Lambda
The superintelligence cloud for GPU compute and AI infrastructure
Founded
2012
Starting Price
From $0.55
Category
Developer Tools
Last updated February 15, 2026
About Lambda
Lambda is a GPU cloud platform purpose-built for AI training and inference at scale. Founded in 2012 by ML engineers, it provides on-demand and reserved GPU instances, 1-Click Clusters, and single-tenant superclusters powered by NVIDIA B200, H100, and A100 GPUs across 15+ global data centers.
Pros & Cons
Pros
- Highly competitive GPU pricing — H100 at $2.29/hr vs $4.10+ on AWS, saving 40-60% on compute
- Zero egress fees eliminate surprise data transfer costs that can add thousands on other clouds
- InfiniBand networking included at no extra cost for high-performance distributed training
- Single-tenant architecture with SOC 2 Type II provides enterprise-grade security and isolation
- Frictionless setup with SSH keys, pre-installed frameworks, and one-click cluster deployments
Key Features
1-Click Clusters
Pre-optimized multi-node NVIDIA HGX B200 and H100 clusters that scale from 16 to 2,000+ GPUs for distributed training workloads
GPU Instances
On-demand single and multi-GPU instances with B200, H100, GH200, A100, and A6000 options for rapid prototyping and smaller jobs
Superclusters
Single-tenant NVIDIA GB300 NVL72 clusters with dedicated power, cooling, and physical isolation for frontier AI training
Zero Egress Fees
No charges for data transfer out, saving thousands compared to AWS and other hyperscalers on large dataset workflows
InfiniBand Networking
High-speed InfiniBand interconnect included as standard for low-latency multi-node distributed training
SOC 2 Type II Compliance
Enterprise-grade security with single-tenant, shared-nothing architecture and optional caged-cluster deployments
Pre-Configured AI Stack
One-liner installation of PyTorch, TensorFlow, and other ML frameworks with SSH and JupyterLab access out of the box
Pricing
GPU Instances
From $0.55/GPU-hour
- 1x to 8x GPU configurations
- B200, H100, GH200, A100, A6000, V100
- SSH and JupyterLab access
- Pre-installed ML frameworks
- Zero egress fees
Best For
Large Language Model Training
Train frontier LLMs on 1-Click Clusters with hundreds of H100 or B200 GPUs connected via InfiniBand at a fraction of hyperscaler costs
AI Research & Experimentation
Spin up on-demand GPU instances for rapid prototyping, paper reproduction, and model experiments without long-term commitments
Computer Vision & Diffusion Models
Train and fine-tune image generation, object detection, and video models on A100 or H100 instances with pre-configured PyTorch
Enterprise AI Infrastructure
Deploy single-tenant superclusters with SOC 2 compliance for regulated industries requiring physical isolation and security
