Large Language Model Servers
These rackmount AI servers offer high GPU memory capacities in order to facilitate inference and training with cutting-edge large language models (LLMs).
These servers are designed to run large language models on-premises, but if you aren’t there yet we also have workstations for AI development.
Budget LLM Server |
4 GPU LLM Server |
8 GPU LLM Server |
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Puget’s Take |
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Puget’s Take |
Affordable option for fine-tuning and hosting smaller LLMs |
Compact 2U server for large language model inference |
Maximum GPU power in a 4U server for LLM inference and training |
CPU |
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CPU | AMD EPYC 9274F | AMD EPYC 9354P | 2 x AMD EPYC 9354 |
GPUS(s) |
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GPU(s) | 4 x NVIDIA GeForce RTX 4090 24GB | 4 x NVIDIA L40S 48GB | 8 x NVIDIA L40S 48GB |
RAM |
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RAM | 192GB DDR5-5600 REG ECC (12x16GB) | 384GB DDR5-5600 REG ECC (12x32GB) | 768GB DDR5-5600 REG ECC (24x32GB) |
Features |
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Features |
NVIDIA GeForce RTX 4080 / 4090 Provides up to 96 GB of VRAM Optionally run multiple small models |
NVIDIA RTX Ada, L40S, and H100 NVL Configurable up to 376 GB of VRAM 70B model inference in fp16 with room for large context / KV cache |
NVIDIA RTX Ada, L40S, and H100 NVL Configurable up to 752 GB of VRAM 150B model inference in fp16 with room for large context / KV cache |
Price as Configured |
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Price as Configured |
$22,018.20 |
$43,356.71 |
$84,651.50 |
Starting At |
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Starting At |
$10,855.04 |
$8,850.90 |
$13,207.75 |
Configure | Configure | Configure |
Our Customers Include
View more of our customers here.
Equipped to Serve Customers of Any Size
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