Lambda Hyperplane

Same DGX-1 Hardware for 30% Less

Up to 8x NVLinked Tesla V100 GPUs. Save up to 90% by moving your Deep Learning workload from cloud to on-premise.

Trusted by Top A.I. Research Groups

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Most Popular Options

Customize From Scratch

Basic

4x Tesla V100 Server

In Stock (Ships in 2-3 Days)
4-way NVLink
2x Xeon Silver 4116 (12 Cores)
4x Tesla V100s (32 GB VRAM)
256 GB RAM
Customizable Storage
10 Gbps Ethernet
Starting at
$ 47,677
Customize
Premium

8x Tesla V100 Server

In Stock (Ships in 2-3 Days)
8-way NVLink
2x Xeon Gold 6148 (20 Cores)
8x Tesla V100 GPUs (32 GB VRAM)
512 GB RAM
Customizable Storage
100 Gbps InfiniBand
Starting at
$ 103,428
Customize
Max

8x Tesla V100 Server

In Stock (Ships in 2-3 Days)
8-way NVLink
2x Xeon Platinum 8168 (24 Cores)
8x Tesla V100s (32 GB VRAM)
768 GB RAM
Customizable Storage
100 Gbps InfiniBand
Starting at
$ 117,221
Customize
custom

4x or 8x Tesla V100

In Stock (Ships in 2-3 Days)
NVLink
Any Processor
4x or 8x Tesla V100s (32 GB VRAM)
Up to 768 GB RAM
Fully Customizable Storage
100 Gbps InfiniBand
Starting at
$
Customize

Zero Setup, Easy Updates

Lambda Stack comes free with your computer. Machine Learning libraries work out-of-the box and can be updated automatically.

Explore Lambda's Research

Our research papers have been accepted into the top machine learning and graphics conferences, including ICCV, SIGGRAPH Asia, NeurIPS, and ACM Transactions on Graphics (TOG).

HoloGAN: Unsupervised Learning of 3D Representations from Natural Images
We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Learn More
RenderNet: A Deep Conv. Network for Differentiable Rendering from 3D Shapes
Traditional computer graphics rendering pipelines are designed for procedurally generating 2D images from 3D shapes with high performance. Learn More
Adversarial Monte Carlo Denoising with Conditioned Aux. Feature Modulation
Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Learn More