Two Puget-Branded Silverstone RM51 Cases in Horizontal and Vertical Positions Next To Each Other

Quad GPU 5U Rackmount Workstation

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

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SMPTE 2110 LED Wall Node

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

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Hardware Recommendations

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

Asus ESC4000A-E12 2U Rackmount Barebones System

Quad GPU LLM Server

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

Asus ESC8000A-E13P 4U Rackmount Barebones System

Eight GPU LLM Server

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

Two Puget-Branded Silverstone RM51 Cases in Horizontal and Vertical Positions Next To Each Other

Quad GPU 5U Rackmount Workstation

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

Fractal Design Define 7 XL chassis with Puget Systems logo etched on front

Multi GPU Xeon Workstation

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

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Hardware Recommendations

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