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ENTITY nvidia-smi

nvidia-smi

PulseAugur coverage of nvidia-smi — every cluster mentioning nvidia-smi across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 8 TOTAL
  1. TOOL · CL_175459 ·

    LingBot-Map tutorial shows GPU-aware 3D reconstruction

    A tutorial demonstrates the use of LingBot-Map for GPU-aware 3D reconstruction and point cloud export. The process involves configuring input sources, reconstruction settings, and output formats, then automatically tuni…

  2. TOOL · CL_173890 ·

    NVIDIA AI Infrastructure Certification Program Launched with Training Resources

    A training program and associated resources are available for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) certification. The program includes recorded sessions, an exam guide, and practic…

  3. TOOL · CL_167961 ·

    Deploying 1-Bit Bonsai-27B Model with PrismML llama.cpp and OpenAI-Compatible Server

    This tutorial details the deployment of the 1-bit Bonsai-27B language model using a specialized fork of llama.cpp that includes CUDA kernels for its unique quantization format. The process involves setting up the enviro…

  4. TOOL · CL_120373 ·

    DGX Spark GPU overheating solved by clock-locking with nvidia-smi

    A developer has found a workaround for overheating issues with the DGX Spark GPU when running large language models like Ollama and Qwen2.5. The GPU, specifically the GB10, lacks user-accessible power and fan controls, …

  5. TOOL · CL_106135 ·

    KV cache memory problem plagues LLM serving, vLLM's PagedAttention offers solution

    The KV cache is a critical component in LLM inference, storing past computations to avoid recomputing them for each new token. However, its memory footprint can become a significant bottleneck, especially in production …

  6. TOOL · CL_87068 ·

    Local LLM Hardware Guide: VRAM, Quantization, and Performance

    Running large language models (LLMs) locally, particularly those with 70 billion parameters, presents significant hardware challenges, primarily concerning VRAM capacity. While marketing often suggests minimal requireme…

  7. TOOL · CL_71693 ·

    User doubles LLM inference speed by fixing PCIe slot bottleneck

    A user building a multi-GPU setup for local LLM inference discovered a significant performance bottleneck caused by a misconfigured PCIe slot. One of the four RTX 3090 GPUs was incorrectly placed in a slot that only sup…

  8. TOOL · CL_13691 ·

    Utilyze offers open-source tool for deeper GPU performance insights beyond load

    Utilyze is a new open-source tool designed to provide deeper insights into GPU performance beyond simple load percentages. It directly accesses GPU performance counters to measure the actual utilization and efficiency o…