Scan AI

Scan AI

NVIDIA RTX AI
Development Workstations

Designed to get results quick, develop and debug code on a basic software stack

RTX AI Development 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 RTX GPU accelerators, AI Workstations by 3XS Systems have been created for data scientists to act as an entry-point for developing their data sets, prior to the requirement to graduate to enterprise-scale training hardware such as the DGX range of AI supercomputers.

NVIDIA-powered RTX AI 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.

Cutting Edge Hardware

3XS Deep Learning Workstations are powered by up to six NVIDIA RTX GPU-accelerators, ensuring rapid processing and accuracy in your model development and training.

RTX 3080

GeForce RTX 3080

Based on the Ampere architecture the high-end RTX 3080 has 8704 CUDA cores, 272 Tensor cores, 68 RT cores plus 10GB of memory.

RTX 3090

GeForce RTX 3090

Based on the Ampere architecture the ultra-high-end RTX 3090 has 10496 CUDA cores, 328 Tensor cores, 82 RT cores plus 24GB of memory enabling you to work with larger datasets.

RTX 3090

RTX A6000

Based on the Ampere architecture the workstation RTX A6000 GPU has 10,752 CUDA cores, 336 Tensor cores, 84 RT cores plus 48GB of GDDR6 ECC memory.

The NVIDIA GPU Cloud

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.

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Click the links below to view the range of RTX AI Development Workstations. We offer pre-configured systems that ready to go
or can custom build a system to your preferredspecification.

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