Convertible 5U rackmount server / tower workstation for fine-tuning and starting deployment of large language model inference and other AI-based tools.


Convertible 5U rackmount server / tower workstation for fine-tuning and starting deployment of large language model inference and other AI-based tools.

High-performance tower workstation for GPU-accelerated machine learning and AI application development and piloting local AI models and agents.

High-performance tower workstation for piloting GPU-accelerated machine learning and AI applications right at your desk.
Overview AMD’s Threadripper PRO processors offer a lot of cores for very fast light baking and shader compiling, while NVIDIA’s professional RTX PRO graphics cards offer high 3D performance combined with lots of VRAM and Sync card compatibility. NVIDIA’s BlueField® network adapter provides SMPTE 2110 support for the most advanced multi-node setups, enabling levels of

Our hardware recommendations for large language model (LLM) AI servers provide broad guidance, but specific situations may have unique requirements.

Compact 2U rackmount server supporting up to four NVIDIA GPUs for fine-tuning and inference with AI large language models.

Powerful 4U rackmount server supporting up to eight NVIDIA GPUs for training, fine-tuning, and inference with AI large language models.

Convertible 5U rackmount server / tower workstation for fine-tuning and starting deployment of large language model inference and other AI-based tools.

High-performance tower workstation for piloting GPU-accelerated machine learning and AI applications right at your desk.

Our hardware recommendations for AI development workstations are based on research and hands-on testing our Puget Labs team has conducted over the years.