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The world's fastest server for AI research

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10,000+ research teams trust Lambda

Spec Highlights
8x-gpu

Engineered for your workload

Tell us about your research and we'll design a machine that's perfectly tailored to your needs.

Up to
8
GPUs
from NVIDIA
Up to
128
cores
and 256 threads
Up to
4096
GB of
memory
Up to
92
TB of
NVMe SSDs
Lambda Stack
lambda stack illustration

Plug in. Start training.

Our servers include Lambda Stack, which manages frameworks like Pytorch and TensorFlow. With Lambda Stack, you can stop worrying about broken GPU drivers and focus on your research.

  • Zero configuration required
    All your favorite frameworks come pre-installed.
  • Easily upgrade PyTorch and TensorFlow
    When a new version is released, just run a simple upgrade command.
  • No more broken GPU drivers
    Drivers will "just work" and keep compatible with popular frameworks.
Colocation
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Your servers. Our datacenter.

Lambda Colocation makes it easy to deploy and scale your machine learning infrastructure. We'll manage racking, networking, power, cooling, hardware failures, and physical security. Your servers will run in a Tier 3 data center with state-of-the-art cooling that's designed for GPUs. You'll get remote access to your servers, just like a public cloud.

Fast support
If hardware fails, our on-premise data center engineers can quickly debug and replace parts.
Optimal performance
Our state-of-the-art cooling keeps your GPUs cool to maximize performance and longevity.
High availability
Our Tier 3 data center has redundant power and cooling to ensure your servers stay online.
No network set up
We handle all network configuration and provide you with remote access to your servers.
Research
Tech Specs

Technical Specifications

4x-gpu