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GPU workstation built for Deep Learning

NVIDIA RTX 3090, RTX 3080, RTX 3070, RTX A6000, RTX A5000, RTX A4000, and Quadro RTX 6000 options. Pre-installed with Ubuntu, TensorFlow, PyTorch, CUDA, and cuDNN.

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Lambda Vector workstation with 4x NVIDIA GPUs
Lambda Vector workstation with 4x NVIDIA GPUs

5000+ research groups trust Lambda

Easy system administration

Our deep learning workstation comes with Lambda Stack, which includes frameworks like TensorFlow and PyTorch. Lambda Stack makes upgrading these frameworks easy.

Ubuntu 20.04
TensorFlow
PyTorch
Jupyter
NVIDIA CUDA
NVIDIA cuDNN

Technical specifications

GPU
Up to 4x NVIDIA GPUs
RTX 30XX, RTX A6000, RTX A5000, RTX A4000, and Quadro RTX options
Processor
AMD Threadripper 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)

Our published research

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