Lambda

GPU cloud platform for fast AI training, fine-tuning, and inference.

Overview

Lambda provides powerful GPU infrastructure and cloud services designed specifically for AI and machine learning. It lets teams train, fine-tune, and deploy models quickly without worrying about hardware setup or scaling.

Key features

NVIDIA B200, H200, H100, GB300 NVL72 GPUs
Single-tenant Superclusters with NVIDIA Quantum-2 InfiniBand
1-Click Clusters for production AI workloads
On-demand GPU instances
Managed orchestration and Lambda Stack
SOC 2 Type II compliance
Hardware-level isolation and caged clusters
Expert co-engineering support

Pros

Access to latest NVIDIA GPU generations
Single-tenant infrastructure for security and isolation
Managed orchestration reduces operational burden
Expert support from AI infrastructure specialists
No egress fees
Flexible deployment from single GPU to hundreds of thousands
Mission-critical compliance and security

Cons

Pricing requires contacting sales for reserved capacity
1-Click Clusters require minimum 16 GPUs
Limited pricing transparency for long-term commitments
Requires technical expertise to optimize workloads

Use this if

You need dedicated GPU infrastructure for training large AI models, require single-tenant security, want managed orchestration, or are building at hyperscale with expert support.

Skip this if

You need CPU-only infrastructure, prefer fully managed ML platforms with AutoML, or require free tier access for experimentation.

Best for

Training large foundation modelsServing inference at scaleAI research and developmentHyperscale AI infrastructureRegulated enterprise AI deploymentRapid GPU prototyping