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Large Language Model 8 GPU Server
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Large Language Model 8 GPU Server

Large Language Model 8 GPU Server

Built for large-scale AI workloads, this powerful 4U rackmount server supports up to eight NVIDIA GPUs, making it ideal for training, fine-tuning, and inference with advanced large language models. Designed for high-performance computing, it supports NVIDIA RTX Ada, L40S, and H200 NVL graphics cards to handle the most demanding AI tasks.

With up to 1.5TB of combined VRAM, this system is optimized for 150B parameter FP16 inference and fine-tuning smaller models. It requires four 200-240V power connections on separate circuits, ensuring the stability and redundancy needed for continuous AI model development and deployment.

$8,085.00

Original: $26,950.00

-70%
Large Language Model 8 GPU Server

$26,950.00

$8,085.00

Large Language Model 8 GPU Server

Built for large-scale AI workloads, this powerful 4U rackmount server supports up to eight NVIDIA GPUs, making it ideal for training, fine-tuning, and inference with advanced large language models. Designed for high-performance computing, it supports NVIDIA RTX Ada, L40S, and H200 NVL graphics cards to handle the most demanding AI tasks.

With up to 1.5TB of combined VRAM, this system is optimized for 150B parameter FP16 inference and fine-tuning smaller models. It requires four 200-240V power connections on separate circuits, ensuring the stability and redundancy needed for continuous AI model development and deployment.

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Built for large-scale AI workloads, this powerful 4U rackmount server supports up to eight NVIDIA GPUs, making it ideal for training, fine-tuning, and inference with advanced large language models. Designed for high-performance computing, it supports NVIDIA RTX Ada, L40S, and H200 NVL graphics cards to handle the most demanding AI tasks.

With up to 1.5TB of combined VRAM, this system is optimized for 150B parameter FP16 inference and fine-tuning smaller models. It requires four 200-240V power connections on separate circuits, ensuring the stability and redundancy needed for continuous AI model development and deployment.