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At Puget Sytems, we do a LOT of testing. We believe that computers should be a pleasure to purchase and own. They should get your work done, and not be a hinderance. To do that, they need to be the right hardware for the job. We take it on as our mission to test and validate the industry's most popular applications, ensuring the software runs properly, and that our hardware is optimized for performance. We have found that this type of information is often either not available at all, or is extremely dated and no longer accurate. So, we share this information freely. The goal of our reccommended systems program is to contribute our knowledge back to the community.

Machine Learning / AI TensorFlow Thumbnail

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.

RTX Titan Data Science PC

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.

Puget Echo Pro


Mini performance
Intel Z390

Puget Obsidian


Proven reliability
Intel Xeon

Puget Genesis II


Post-production & design
Intel X299 and Xeon

Puget Peak Single Xeon Tower


Workstations for scientific workloads

Summit Server


A powerful and flexible line of servers