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Precision computational models for AlphaFold & genomic bioinformatics, deep learning VRAM allocation, datacenter power topology, transient PSU sizing, cloud-vs-onprem TCO, and edge avionics payload telemetry.
DeepSeek-V3 671B MoE (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator
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.
DeepSeek-V3 671B MoE (BF16 Bfloat16 Mixed Precision) on NVIDIA H200 141GB HBM3e VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-V3 671B MoE quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.
DeepSeek-V3 671B MoE (FP8 Scaled Native Hopper) on NVIDIA B200 192GB Blackwell VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-V3 671B MoE quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.
DeepSeek-V3 671B MoE (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-V3 671B MoE quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.
DeepSeek-V3 671B MoE (AWQ 4-Bit Activation-Aware) on NVIDIA RTX 4090 24GB GDDR6X VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-V3 671B MoE quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.
DeepSeek-V3 671B MoE (GPTQ 4-Bit Second-Order) on NVIDIA L40S 48GB Ada Lovelace VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-V3 671B MoE quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.
DeepSeek-V3 671B MoE (GGUF Q4_K_M Medium Quant) on AMD Instinct MI300X 192GB VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-V3 671B MoE quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.
DeepSeek-R1 Reasoning 671B (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator
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.
DeepSeek-R1 Reasoning 671B (BF16 Bfloat16 Mixed Precision) on NVIDIA H200 141GB HBM3e VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-R1 Reasoning 671B quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.
DeepSeek-R1 Reasoning 671B (FP8 Scaled Native Hopper) on NVIDIA B200 192GB Blackwell VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-R1 Reasoning 671B quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.
DeepSeek-R1 Reasoning 671B (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-R1 Reasoning 671B quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.
DeepSeek-R1 Reasoning 671B (AWQ 4-Bit Activation-Aware) on NVIDIA RTX 4090 24GB GDDR6X VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-R1 Reasoning 671B quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.
DeepSeek-R1 Reasoning 671B (GPTQ 4-Bit Second-Order) on NVIDIA L40S 48GB Ada Lovelace VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-R1 Reasoning 671B quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.
DeepSeek-R1 Reasoning 671B (GGUF Q4_K_M Medium Quant) on AMD Instinct MI300X 192GB VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for DeepSeek-R1 Reasoning 671B quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.
Llama-3.1 405B Ultra-Scale (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator
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.
Llama-3.1 405B Ultra-Scale (BF16 Bfloat16 Mixed Precision) on NVIDIA H200 141GB HBM3e VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 405B Ultra-Scale quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.
Llama-3.1 405B Ultra-Scale (FP8 Scaled Native Hopper) on NVIDIA B200 192GB Blackwell VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 405B Ultra-Scale quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.
Llama-3.1 405B Ultra-Scale (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 405B Ultra-Scale quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.
Llama-3.1 405B Ultra-Scale (AWQ 4-Bit Activation-Aware) on NVIDIA RTX 4090 24GB GDDR6X VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 405B Ultra-Scale quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.
Llama-3.1 405B Ultra-Scale (GPTQ 4-Bit Second-Order) on NVIDIA L40S 48GB Ada Lovelace VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 405B Ultra-Scale quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.
Llama-3.1 405B Ultra-Scale (GGUF Q4_K_M Medium Quant) on AMD Instinct MI300X 192GB VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 405B Ultra-Scale quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.
Llama-3.3 70B High-Efficiency (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator
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.
Llama-3.3 70B High-Efficiency (BF16 Bfloat16 Mixed Precision) on NVIDIA H200 141GB HBM3e VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.3 70B High-Efficiency quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.
Llama-3.3 70B High-Efficiency (FP8 Scaled Native Hopper) on NVIDIA B200 192GB Blackwell VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.3 70B High-Efficiency quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.
Llama-3.3 70B High-Efficiency (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.3 70B High-Efficiency quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.
Llama-3.3 70B High-Efficiency (AWQ 4-Bit Activation-Aware) on NVIDIA RTX 4090 24GB GDDR6X VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.3 70B High-Efficiency quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.
Llama-3.3 70B High-Efficiency (GPTQ 4-Bit Second-Order) on NVIDIA L40S 48GB Ada Lovelace VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.3 70B High-Efficiency quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.
Llama-3.3 70B High-Efficiency (GGUF Q4_K_M Medium Quant) on AMD Instinct MI300X 192GB VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.3 70B High-Efficiency quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.
Llama-3.1 70B Enterprise (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator
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.
Llama-3.1 70B Enterprise (BF16 Bfloat16 Mixed Precision) on NVIDIA H200 141GB HBM3e VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 70B Enterprise quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.
Llama-3.1 70B Enterprise (FP8 Scaled Native Hopper) on NVIDIA B200 192GB Blackwell VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 70B Enterprise quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.
Llama-3.1 70B Enterprise (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 70B Enterprise quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.
Llama-3.1 70B Enterprise (AWQ 4-Bit Activation-Aware) on NVIDIA RTX 4090 24GB GDDR6X VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 70B Enterprise quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.
Llama-3.1 70B Enterprise (GPTQ 4-Bit Second-Order) on NVIDIA L40S 48GB Ada Lovelace VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 70B Enterprise quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.
Llama-3.1 70B Enterprise (GGUF Q4_K_M Medium Quant) on AMD Instinct MI300X 192GB VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.1 70B Enterprise quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.
Llama-3.2 3B Edge-Mobile (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.2 3B Edge-Mobile quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.
Llama-3.2 3B Edge-Mobile (BF16 Bfloat16 Mixed Precision) on NVIDIA H200 141GB HBM3e VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.2 3B Edge-Mobile quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.
Llama-3.2 3B Edge-Mobile (FP8 Scaled Native Hopper) on NVIDIA B200 192GB Blackwell VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.2 3B Edge-Mobile quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.
Llama-3.2 3B Edge-Mobile (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.2 3B Edge-Mobile quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.
Llama-3.2 3B Edge-Mobile (AWQ 4-Bit Activation-Aware) on NVIDIA RTX 4090 24GB GDDR6X VRAM & Throughput Calculator
Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Llama-3.2 3B Edge-Mobile quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #1)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #1.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #2)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #2.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #3)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #3.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #4)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #4.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #5)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #5.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #6)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #6.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #7)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #7.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #8)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #8.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #9)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #9.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #10)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #10.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #11)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #11.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #12)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #12.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #13)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #13.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #14)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #14.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #15)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #15.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #16)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #16.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #17)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #17.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #18)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #18.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #19)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #19.
AlphaFold 3 Multimer Diffusion Computational Hardware Sizing & Analysis (Tier #20)
Rigorous bioinformatics throughput, memory capacity, and compute architecture calibration for AlphaFold 3 Multimer Diffusion operating at matrix configuration profile #20.
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星宇智通 operates an enterprise-grade hardware supply chain bridging cutting-edge silicon manufacturers with international data centers, biotech research labs, AI startups, and research institutions worldwide.
- NVIDIA H100/H200/B200 SXM & PCIe Turnkey Server Clusters
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