Lambda Labs

Overview

Lambda Labs provides GPU cloud infrastructure specifically designed for deep learning. The company offers cloud instances, on-premise servers, and workstations optimized for ML workloads. Lambda is known for providing powerful GPUs at competitive prices with ML-optimized software stacks.

Lambda's cloud comes with pre-installed ML frameworks, CUDA, and common libraries, making it easy to start training immediately. The platform is popular among researchers, startups, and ML teams who want GPU power without complexity.

Key Features

**ML-Optimized**: Pre-configured for deep learning

**Latest GPUs**: H100, A100, A6000 available

**Pre-Installed Stack**: PyTorch, TensorFlow, CUDA ready

**Jupyter Labs**: Pre-configured notebooks

**Persistent Storage**: Shared file systems

**SSH Access**: Full terminal access

**Reserved Instances**: Long-term discounts

**On-Prem Hardware**: Also sell servers/workstations

When to Use Lambda Labs

Lambda Labs is ideal for:

Deep learning training workloads

ML research and experimentation

Teams wanting ML-ready infrastructure

Organizations needing high-end GPUs

Projects requiring persistent environments

Companies considering on-prem GPU servers

Pros

ML-optimized out of the box

Competitive pricing

Latest GPU hardware

Good for researchers

Pre-configured environments

Reserved instance discounts

Also offers on-prem hardware

Straightforward setup

Cons

Limited features vs. major clouds

Smaller platform

Instance availability varies

Less suitable for non-ML workloads

Limited geographic regions

Basic cloud features

No serverless options

Smaller support team

Pricing

**A100 (40GB)**: $1.10/hour

**H100**: $2.49/hour

**Reserved**: 50% discount for long-term

**On-Prem**: Contact for server pricing