Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-V3 671B MoE quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-R1 Reasoning 671B quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 405B Ultra-Scale quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.3 70B High-Efficiency quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 70B Enterprise quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Qwen-2.5 72B Flagship Open quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Qwen-2.5 7B Consumer-Grade quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Gemma-2 27B Google Research quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.