Lambda Blade
Deep Learning Server with 8 GPUs
GPU server with RTX 2080 Ti, Titan RTX, RTX 6000, RTX 8000, or Titan V. Ubuntu, TensorFlow, PyTorch, Keras, CUDA, and cuDNN pre-installed.
Trusted by Top A.I. Research Groups
Most Popular Options
Customize From Scratch
|
Basic
8x RTX 2080 Ti |
|---|
| In Stock (Ships in 2-3 Days) |
| 2x Xeon Silver 4214 (12 Cores) |
| RTX 2080 Ti (11 GB VRAM) |
| 128 GB RAM |
| 2 TB SSD (SATA) |
| No Additional Storage |
|
Starting at
$
17,993
|
|
Premium
8x Titan RTX |
|---|
| In Stock (Ships in 2-3 Days) |
| 2x Xeon Gold 5218 (16 Cores) |
| Titan RTX (24 GB VRAM) |
| 512 GB RAM |
| 1.92 TB SSD (NVMe) |
| 4 TB SSD (SATA) |
|
Starting at
$
36,212
|
|
Max
8x RTX 8000 |
|---|
| In Stock (Ships in 2-3 Days) |
| 2x Xeon Gold 5218 (16 Cores) |
| RTX 8000 (48 GB VRAM) |
| 768 GB RAM |
| 1.92 TB SSD (NVMe) |
| 4 TB SSD (SATA) |
|
Starting at
$
64,500
|
|
Custom
|
|---|
| In Stock (Ships in 2-3 Days) |
|
Starting at
$
|
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
