COMPLETE 20,000 SCIENTIFIC COMPUTATION MATRIX

Hardware & Computational Tools Directory

Showing 145 - 192 of 4,250 verified tools.

All (20,000) Bioinformatics & AlphaFold (4,000) LLM & Deep Learning (4,250) GPU Power & PSU (4,200) Datacenter PUE (4,200) Edge AI & Drone (3,170)
AI Large Models, VRAM & Deep Learning Compute

Phi-3 Medium 14B High-Density (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 Phi-3 Medium 14B High-Density quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Phi-3 Medium 14B High-Density (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 Phi-3 Medium 14B High-Density quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Phi-3 Medium 14B High-Density (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 Phi-3 Medium 14B High-Density quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Yi-1.5 34B 200K Context (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Yi-1.5 34B 200K Context quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Yi-1.5 34B 200K Context (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 Yi-1.5 34B 200K Context quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Yi-1.5 34B 200K Context (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 Yi-1.5 34B 200K Context quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Yi-1.5 34B 200K Context (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Yi-1.5 34B 200K Context quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Yi-1.5 34B 200K Context (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 Yi-1.5 34B 200K Context quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Yi-1.5 34B 200K Context (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 Yi-1.5 34B 200K Context quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Yi-1.5 34B 200K Context (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 Yi-1.5 34B 200K Context quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

StarCoder-2 15B Code Synthesis (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for StarCoder-2 15B Code Synthesis quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

StarCoder-2 15B Code Synthesis (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 StarCoder-2 15B Code Synthesis quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

StarCoder-2 15B Code Synthesis (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 StarCoder-2 15B Code Synthesis quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

StarCoder-2 15B Code Synthesis (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for StarCoder-2 15B Code Synthesis quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

StarCoder-2 15B Code Synthesis (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 StarCoder-2 15B Code Synthesis quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

StarCoder-2 15B Code Synthesis (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 StarCoder-2 15B Code Synthesis quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

StarCoder-2 15B Code Synthesis (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 StarCoder-2 15B Code Synthesis quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

CodeLlama 70B Programming Specialist (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for CodeLlama 70B Programming Specialist quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

CodeLlama 70B Programming Specialist (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 CodeLlama 70B Programming Specialist quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

CodeLlama 70B Programming Specialist (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 CodeLlama 70B Programming Specialist quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

CodeLlama 70B Programming Specialist (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for CodeLlama 70B Programming Specialist quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

CodeLlama 70B Programming Specialist (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 CodeLlama 70B Programming Specialist quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

CodeLlama 70B Programming Specialist (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 CodeLlama 70B Programming Specialist quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

CodeLlama 70B Programming Specialist (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 CodeLlama 70B Programming Specialist quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Schnell 12B DiT Image Model (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Flux.1 Schnell 12B DiT Image Model quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Schnell 12B DiT Image Model (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 Flux.1 Schnell 12B DiT Image Model quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Schnell 12B DiT Image Model (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 Flux.1 Schnell 12B DiT Image Model quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Schnell 12B DiT Image Model (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Flux.1 Schnell 12B DiT Image Model quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Schnell 12B DiT Image Model (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 Flux.1 Schnell 12B DiT Image Model quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Schnell 12B DiT Image Model (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 Flux.1 Schnell 12B DiT Image Model quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Schnell 12B DiT Image Model (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 Flux.1 Schnell 12B DiT Image Model quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Dev 12B High-Quality DiT (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Flux.1 Dev 12B High-Quality DiT quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Dev 12B High-Quality DiT (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 Flux.1 Dev 12B High-Quality DiT quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Dev 12B High-Quality DiT (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 Flux.1 Dev 12B High-Quality DiT quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Dev 12B High-Quality DiT (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Flux.1 Dev 12B High-Quality DiT quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Dev 12B High-Quality DiT (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 Flux.1 Dev 12B High-Quality DiT quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Dev 12B High-Quality DiT (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 Flux.1 Dev 12B High-Quality DiT quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Flux.1 Dev 12B High-Quality DiT (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 Flux.1 Dev 12B High-Quality DiT quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion 3.5 Large 8B (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Stable Diffusion 3.5 Large 8B quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion 3.5 Large 8B (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 Stable Diffusion 3.5 Large 8B quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion 3.5 Large 8B (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 Stable Diffusion 3.5 Large 8B quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion 3.5 Large 8B (INT8 SmoothQuant Precision) on NVIDIA A100 80GB PCIe VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Stable Diffusion 3.5 Large 8B quantized in INT8 SmoothQuant Precision deployed on NVIDIA A100 80GB PCIe.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion 3.5 Large 8B (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 Stable Diffusion 3.5 Large 8B quantized in AWQ 4-Bit Activation-Aware deployed on NVIDIA RTX 4090 24GB GDDR6X.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion 3.5 Large 8B (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 Stable Diffusion 3.5 Large 8B quantized in GPTQ 4-Bit Second-Order deployed on NVIDIA L40S 48GB Ada Lovelace.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion 3.5 Large 8B (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 Stable Diffusion 3.5 Large 8B quantized in GGUF Q4_K_M Medium Quant deployed on AMD Instinct MI300X 192GB.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion XL 6.6B Base (FP16 Uncompressed Native) on NVIDIA H100 80GB SXM5 VRAM & Throughput Calculator

Exact VRAM memory allocation, dynamic KV-cache requirements, and tensor parallelism slicing for Stable Diffusion XL 6.6B Base quantized in FP16 Uncompressed Native deployed on NVIDIA H100 80GB SXM5.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion XL 6.6B Base (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 Stable Diffusion XL 6.6B Base quantized in BF16 Bfloat16 Mixed Precision deployed on NVIDIA H200 141GB HBM3e.

Launch Tool →
AI Large Models, VRAM & Deep Learning Compute

Stable Diffusion XL 6.6B Base (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 Stable Diffusion XL 6.6B Base quantized in FP8 Scaled Native Hopper deployed on NVIDIA B200 192GB Blackwell.

Launch Tool →