GPU Desktop for Deep learning

RTX 4500 Ada Generation or RTX 5000 Ada Generation with up to 32 GB of RAM.

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Plug in. Start training.

Our servers 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 required

All your favorite frameworks come pre-installed.
Easily upgrade PyTorch® and TensorFlow

When a new version is released, just run a simple upgrade command.
No more broken GPU drivers

Drivers will "just work" and keep compatible with popular frameworks.

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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 assistance

From engineers ready to troubleshoot your hardware, operating system, and machine learning software.
Extra cover

An extended warranty covering hardware failures with rapid repair and replacement.
Always here

Providing you with live help from a dedicated contact via phone or email.

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Explore our research

ICCV 2021

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.

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ICCV 2019

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.

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NeurIPS 2018

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.

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SIGGRAPH Asia 2019

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.

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View all research

Technical Specifications

Vector Desktop GPU

2 dual-slot PCIe GPUs. Options include:

RTX 4500 Ada Generation: 24 GB of GDDR6 with ECC, 7,680 CUDA Cores, 240 Tensor Cores, PCIe 4.0x16
RTX 5000 Ada Generation: 32 GB of GDDR6 with ECC, 12,800 CUDA Cores, 400 Tensor Cores, PCIe 4.0x16

Processor

AMD Ryzen Threadripper 7960X 24-Core, 48-Thread...

AMD Ryzen Threadripper 7960X 24-Core, 48-Thread
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

Memory

Up to four 128 GB RDIMMs at 4800 MHz

OS Drive

Up to 7,400 MB/s seq. read and 7,000 MB/s seq. write

Extra Storage

Compatible with up to two 3.84 TB M.2 NVMe SSDs and a single 30.72 TB U.2 SSD

Power Supply

Up to 1600 watts of maximum continuous power at voltages between 100 and 240V

Size & weight

Width: 9.5" (240mm)
Height: 22.8" (580mm)
Depth: 22.0" (560mm)
Weight: 56 lbs

Vector datasheet

Download the Vector Datasheet