GPU desktop PC for deep learning

Configured with a single NVIDIA RTX 4000 Ada Generation. Optimized for speed, value, and quiet operation.

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Tackle your AI and ML projects right from your desktop with a single GPU system for less than $4400

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.

Next-gen graphics for advanced AI/ML tasks

Equipped with the cutting-edge RTX 4000 Ada Generation boasting 20 GB of VRAM
Future-ready architecture

State-of-the-art AMD Ryzen 9 7950X CPU, which supports PCIe Gen 5 and DDR5 and offers up to twice the bandwidth of its predecessors
Optimal experience for AI/ML

Ultimate system configuration with no more guesswork, tailored for AI/ML tasks from fine-tuning Stable Diffusion to handling the complexities of LLAMA 2 7B

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.

Learn more

View all research

Technical Specifications

Vector Desktop GPU

Single RTX 4000 Ada Generation

20 GB of GDDR6 with ECC, 6,144 CUDA Cores, 192 Tensor Cores, PCIe 4.0x16

Processor

AMD Ryzen 9 7950X

16 cores, 32 threads and up to 5.7 GHz boost

Memory

Fits up to four 32 GB DDR5 UDIMMs at 4800 MHz

OS Drive

Up to 3.84 TB. Up to 7,400 MB/s seq. read and 7,000 MB/s seq. write

Extra Storage

Fits up to three 3.84 TB M.2 NVMe Gen 4 drives

Power Supply

Up to 1300W of maximum continuous power at voltages between 100 and 240V

Size & weight

Width: 9.45" (240 mm)
Height: 19.69" (500 mm)
Depth: 20.28" (515 mm)
Weight: 43 pounds (19.5 kg)

Vector One datasheet

Download the Vector One Datasheet