NVIDIA Data Science Workstations by 3XS

Organisations are increasingly investing in data science for deep learning and AI to improve their time to market, increase efficiency, provide a competitive edge and to unlock value from their combined data sets.

Powered by high performance NVIDIA GPU accelerators, Data Science Workstation by 3XS Systems have been created for data scientists to act as a minimum viable product (MVP) for developing their data sets, prior to the requirement to graduate to enterprise-scale training hardware such as the DGX range of AI supercomputers.

Data Science Workstations support NVIDIA-optimised versions of popular DL and AI frameworks. This makes them software compatible with NVIDIA’s DGX range, providing a seamless workflow from model development to training at scale.

Integrated with GPU-Accelerated Software

NVIDIA-powered Data Science Workstations are tested and optimised with data science software built on NVIDIA CUDA-X AI, a collection of over 15 libraries that enable modern computing applications to benefit from NVIDIA’s GPU-accelerated computing platform. It includes RAPIDS data processing and machine learning libraries, NVIDIA optimised TensorFlow, PyTorch, Caffe and other leading data science software, providing enterprises with accelerated workflows for faster data preparation, model training and data visualisation.

Enterprise Grade Hardware

NVIDIA Data Science Workstations are powered by enterprise-grade NVIDIA Quadro GPU-accelerators, ensuring rapid processing and accuracy in your model development and training.

Quadro RTX 6000

Based on the Turing architecture the high-end RTX 6000 has 4608 CUDA cores, 576 Tensor cores, 72 RT cores plus 24GB of memory.

Quadro RTX 8000

Based on the Turing architecture the ultra high-end RTX 8000 has the same core configuration as the RTX 6000 but with 48GB of RAM has double the memory enabling you to work with larger datasets.

Quadro GV100

Based on the Volta architecture the GV100 has 5120 CUDA cores and 640 Tensor cores plus 32GB of memory. Although it is slightly slower than the RTX 6000 and 8000 at half and single precision, it has dedicated support for double precision so may be a better choice for some workloads.

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The NVIDIA GPU Cloud (NGC) provides researchers and data scientists with simple access to a comprehensive catalogue of GPU-optimised software tools for deep learning and high performance computing (HPC) that take full advantage of NVIDIA GPUs. The NGC container registry features NVIDIA tuned, tested, certified, and maintained containers for the top deep learning frameworks. It also offers third-party managed HPC application containers, NVIDIA HPC visualisation containers, and partner applications.

NGC empowers AI researchers with GPU-accelerated deep learning containers for TensorFlow, PyTorch, MXNet, TensorRT and more. The ready-to-run containers include the deep learning software, NVIDIA CUDA Toolkit, NVIDIA deep learning libraries, and an operating system, and NVIDIA optimises the complete software stack to take maximum advantage of NVIDIA Volta and Turing powered GPUs. The containers are tuned, tested, and certified by NVIDIA to run on select NVIDIA TITAN and NVIDIA Quadro GPUs, NVIDIA DGX Systems, and supported NVIDIA GPUs on Amazon EC2, Google Cloud Platform, Microsoft Azure, and Oracle Cloud Infrastructure.

Data Science Workstation buyers guide

Learn more about our 3XS Data Science Workstations and how to choose the correct system for your needs in our video.

NVIDIA Data Science Workstation Partner

Scan is an Elite Solution Provider for NVIDIA DGX Systems and has a dedicated AI team including data scientists to support our Data Science Workstations.

3XS Data Science Workstations


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