New! DGX-1 Alternative: 8x Tesla V100 Server with NVLink

Deep Learning

Workstations, Servers, Laptops, and GPU Cloud

Workstations, Servers, Laptops, and GPU cloud

Built for Deep Learning

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Lambda Quad: 4-GPU Deep Learning Workstation

TensorBook

GPU Laptop

Deep Learning Laptop with RTX 2070 or RTX 2080. Up to 32 GB RAM. Up to 1 TB NVme.

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Lambda Dual

2 GPU Workstation

Deep Learning Workstation with NVLink. RTX 2080 Ti, Titan RTX, Quadro GV100 GPU options. Fully Customizable.

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Lambda Quad

4 GPU Workstation

Deep Learning Workstation with RTX 2080 Ti, GTX 1080 Ti, or Titan V. Fully Customizable.

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Lambda Blade

8 GPU Server

Deep Learning Server with RTX 2080 Ti, GTX 1080 Ti, or Titan V. Fully Customizable.

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Hyperplane

DGX-1 Alternative

Tesla V100 Server with NVLink. 4-GPU and 8-GPU options. 30% less than DGX-1.

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Inference

Tesla T4 Server

Deep Learning Inference Server with 12x-, 16x- or 20x- Tesla T4 GPUs. Fully Customizable.

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Pre-Installed with Every Framework

Easy Upgrades with Lambda Stack

Lambda Stack is a software tool for managing installations of TensorFlow, Keras, PyTorch, Caffe, Caffe 2, Theano, CUDA, and cuDNN. If a new version of any framework is released, Lambda Stack can manage the upgrade, including updating dependencies like CUDA and cuDNN. Learn more.

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We're experts in Machine Learning

When you chat with us, there's no sales talk. We're a small team of experts who take pride in our machines. Call us, tell us what you're working on, and we'll talk you through your options.

Call us:

1 (650) 479-5530

Text us:

1 (650) 479-5530

Lambda News

Get thoughtful updates on the latest GPU benchmarks, AI Infrastructure, and advances in Deep Learning.

Return & Refund Policy

Lambda stands by our rock solid servers, workstations, and notebooks. That's why we offer a 30 day return policy for any hardware purchased at retail pricing as listed on Lambda Labs' website, less shipping and handling. However, we do not offer returns for custom orders quoted by one of our sales representatives, orders with custom components, or otherwise quoted at a price that is discounted from retail pricing. For more details, please see our Terms of Sale.