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nvlink

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Running large LLMs on pre-Ampere NVIDIA hardware — Tesla V100 (sm_70), RTX 2080 Ti (sm_75), CMP 170HX. Measured benchmarks, vLLM forks, and the hardware side: NVLink on SXM2 carrier boards, driver traps, cooling, used-kit acceptance.

  • Updated Aug 19, 2026

Communication cost modeling for tensor parallel LLM inference with TP vs PP vs hybrid comparison, VRAM analysis, pipeline bubble modeling, regime detection, and cost-efficiency. Shows TP dominates on NVLink, PP has 47% bubble at 8 GPUs, and LLaMA-70B needs 8× A100 or 2× H100 for VRAM.

  • Updated Jul 15, 2026
  • Python
ai-lab

Software-in-the-loop behavioral model of a GPU cluster modelled on NVIDIA GB200 NVL72, scaled down to two compute trays, on one Linux machine. Real Slurm or Kubernetes, PyTorch and NCCL run against emulated GPUs (CUDA, NVML, nvidia-smi), NVLink/NVSwitch partitions, Redfish BMCs and InfiniBand.

  • Updated Oct 8, 2026
  • C

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