The fastest way to train neural networks in 2018
Designed for rack deployment, our 8 GPU configurations significantly boost Deep Learning performance and are ideal for remote access from multiple concurrent users. Learn more.
QUAD is our most powerful and most popular workstation. It delivers significant speed improvements for all applications.
If you’re part of a research team, the Lambda Quad allows multiple engineers to work simultaneously to significantly increase development productivity. Learn more.
The TensorBook is the best laptop for Deep Learning. Powerful, yet portable. Accelerate your model training with an NVIDIA GTX 1070 Pascal Architecture GPU.
The TensorBook machine learning laptop increases your team's productivity by giving them the power to bring their data, models, and code wherever they go. Letting them work from home, off site, or wherever inspiration hits. Learn more.
SINGLE is an introduction to high performance Deep Learning hardware. Pre-installed is every framework you’ll need — including Tensorflow, Torch, and Caffe.
The SINGLE is the perfect option for hobbyist Deep Learning dev that doesn't need their workstation accessible by a team. Learn more.
We rent access to our cloud-based workstations on a month-to-month basis. It scales with your needs. State-of-the-art deep learning GPUs at the most affordable prices on Earth. Save thousands switching from AWS.
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.
Our salespeople are engineers. 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.