Recommended Scientific Workstations
Select your workflow:
Scientific Computing covers many fields, including ML/AI and data-analysis within those domains. Our workstations are built for applications demanding high-performance numerical computation. GPU acceleration is also a serious consideration!
Machine Learning / AI
Our Machine Learning / AI workstation configurations are single CPU, multi-GPU, and optimized for model training with NVIDIA GPU acceleration. These are great platforms for working with frameworks like TensorFlow, PyTorch, MXNet, etc.
Our Data Science workstations provide lots of memory, lots of storage, many-core CPUs, and big-memory GPUs. ETL and preprocessing are handled well with these systems, including end-to-end workflows with model training and analysis using very large data sets.