Scientific & Compute Tools Directory
Serving 101,000 deterministic computational tools across 100 cloud environments and 50 frontier architectures.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.