High-Performance Compute Tools Directory

🌟 All Disciplines 🧠 AI Models & VRAM Compute ⚡ Hardware Bottlenecks & Thermals 🏢 Data Center PUE & Cooling ☁️ Cloud GPU Lease vs On-Prem ROI 🛰️ Edge AI, Avionics & Robotics
💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

💻 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.

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