GPU workstation for deep learning
Up to four fully customizable NVIDIA GPUs. Pre-installed with Ubuntu, TensorFlow, PyTorch®, NVIDIA CUDA, and NVIDIA cuDNN.
10,000+ research teams trust Lambda
Plug in. Start training.
Our workstations 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 requiredAll your favorite frameworks come pre-installed.
-
Easily upgrade PyTorch® and TensorFlowWhen a new version is released, just run a simple upgrade command.
-
No more broken GPU driversDrivers will "just work" and keep compatible with popular frameworks.
Lambda System Support
With our System Support option, you can focus on your code and leave the rest to us. If something goes wrong with your machine, whether it be a driver issue, kernel panic, or hardware failure, our support team can debug it.
-
Expert assistanceFrom engineers ready to troubleshoot your hardware, operating system, and machine learning software.
-
Extra coverAn extended warranty covering hardware failures with rapid repair and replacement.
-
Always hereProviding you with live help from a dedicated contact via phone or email.
Explore our research
Multiple Pairwise Ranking Networks for Personalized Video Summarization
We propose a model for personalized video summaries by conditioning the summarization process with predefined categorical labels.
HoloGAN: Unsupervised Learning of 3D Reps. from Natural Images
We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images.
RenderNet: A Deep ConvNet for Differentiable Rendering from 3D Shapes
We present a differentiable rendering convolutional network with a novel projection unit that can render 2D images from 3D shapes.
Adversarial Monte Carlo Denoising with Conditioned Aux. Feature Modulation
We demonstrate that GANs can help denoiser networks produce more realistic high-frequency details and global illumination.
Technical specifications
Up to 4 dual-slot PCIe GPUs. Options include:
- A800 40 GB Active: 40 GB of HBM2, 6,912 CUDA cores, 432 Tensor Cores, PCIe 4.0 x 16
- NVIDIA RTX 6000 Ada Generation: 48 GB of GDDR6X, 18,176 CUDA cores, 568 Tensor Cores, PCIe 4.0 x16
- NVIDIA RTX 5000 Ada Generation: 32 GB of GDDR6, 12,800 CUDA cores, 400 Tensor Cores, PCIe 4.0 x16
- NVIDIA RTX 4500 Ada Generation: 24 GB of GDDR6, 7,680 CUDA cores, 240 Tensor Cores, PCIe 4.0x16
- NVIDIA RTX 4000 Ada Generation: 20 GB of GDDR6, 6,144 CUDA cores, 192 Tensor Cores, PCIe 4.0x16
- AMD Ryzen Threadripper PRO 7975WX 32-Core, 64-Thread
- AMD Ryzen Threadripper PRO 7985WX 64-Core, 128-Thread
- AMD Ryzen Threadripper PRO 7995WX 96-Core, 192-Thread
- Width: 9.5" (240mm)
- Height: 22.8" (580mm)
- Depth: 22.0" (560mm)
- Weight: 43-55 lbs