Lambda Labs

Getting Started

1. Sign up at lambdalabs.com and browse available GPU cloud instances or hardware options.
2. Launch a cloud instance with your preferred GPU configuration — Lambda Stack comes pre-installed with PyTorch, TensorFlow, and CUDA.
3. SSH into your instance and start training models immediately with the pre-configured ML environment.
4. For persistent needs, explore Lambda’s on-premise servers and workstations with NVIDIA H100 and B200 GPUs.

Key Features

• Purpose-built for AI with hardware and software optimized specifically for deep learning training and inference.
• Lambda Stack provides a pre-configured, tested ML software stack with PyTorch, TensorFlow, CUDA, and cuDNN.
• Enterprise-grade GPUs offering the latest NVIDIA H100, A100, and next-gen GPUs in cloud, server, and workstation form factors.
• On-premise options includes purchasable workstations and servers for teams that need dedicated hardware.
• Competitive cloud pricing with per-second billing and prices often lower than hyperscale cloud providers for GPU instances.
• Trusted by research used by top AI labs, universities, and Fortune 500 companies for cutting-edge ML research.