GPU workstation for deep learning

Up to four fully customizable NVIDIA GPUs. Pre-installed with Ubuntu, TensorFlow, PyTorch, CUDA, and cuDNN.

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Lambda Vector workstation with 4x NVIDIA GPUs

10,000+ research teams trust Lambda

Lambda Stack

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 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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Support
Vector Premium Support

Lambda Premium Support

With our Premium 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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Vector Premium Support
Research

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Tech specs

Technical specifications

GPU
Up to 4x NVIDIA GPUs
RTX 3090, RTX 3080, RTX 3070, RTX A6000, RTX A5000, and RTX A4000 options
Processor
AMD Threadripper Pro or Intel Core i9
Configurable up to 64 cores, 128 threads, and 256 MB cache
Memory
Up to 1 TB
Fits up to eight 128 GB LRDIMMs at 3200 MHz
OS drive
Up to 2 TB
3,200 MB/s seq. read and 2,000 MB/s seq. write
Extra storage
Up to 61 TB
Fits up to eight 7.68 TB SATA SSDs.
Power supply
Up to 1600 watts
of maximum continuous power at voltages between 100 and 240V
Size & weight
Width: 13.1" (332 mm)
Height: 16.3" (415 mm)
Depth: 18.4" (458 mm)
Weight: 38 pounds (17.2 kg)