p40

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corespan / aistudio-server

LLM benchmarking, GPU workload orchestration backend server | Deepseek-R1, Qwen2.5, Llama3.1 | 4xRTX-5090 inside PRU2500, 2xH100 inside PRU2500, 8xMI210 in SuperMicro

t4 amd jupyter-notebook nvidia p100 jupyter-lab a100 p40 h100 rtx-5090 gpu-benchmarking rtx-5070-ti mi210

Updated Aug 18, 2026
Python

chessarisilvio / router-cuda-dinamico-exllamav2-p40-rtx3050

Star

Dynamic CUDA router for ExLlamaV2: auto-fallback from P40 (sm_61) to RTX 3050

python gpu cuda inference rtx multi-gpu llm p40 exllamav2

Updated Sep 25, 2026
Python

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