Recommended Scientific Workstations
Machine Learning / AI TensorFlow
Our Machine Learning / AI Workstation configurations are single CPU, multi-GPU and optimized for deep-learning workloads. These are great platforms for working with Tensorflow, Caffe and Torch as well as other frameworks like CNTK, MXNet, etc.. We have two base recommendations to meet performance and budget requirements.
Titan RTX Data Science PC
Our Titan RTX powered Data Science PC comes with a comprehensive stack of tested and optimized software built on NVIDIA CUDA-X AI. RAPIDS, XGBoost, TensorFlow, PyTorch,...GPU-accelerated Docker configuration using the NGC (NVIDIA GPU Cloud) docker registry, plus documentation and examples ready to run.