GPU
Common GPU Operations and Fault Handling
· β˜• 18 min read
Content referenced or recorded while handling faults, continuously updated. 1. XID Error Events XID is NVIDIA’s error code. You can retrieve it with the command: 1 dmesg -T | grep -i "NVRM: Xid" or 1 journalctl --since `date -d "10 days ago" "+%Y-%m-%d"`|grep Xid The XID lets you locate the fault.

Speeding Up Model Inference with TensorRT
· β˜• 4 min read
1. What Is TensorRT TensorRT is a C++ library mainly used for high-performance inference acceleration on NVIDIA GPUs. It provides both a C++ API and a Python API for integration. The mainstream deep learning frameworks TensorRT supports are: Caffe, where TensorRT can read the prototxt format directly TensorFlow, where the

Large Model Inference with Triton Server and TensorRT-LLM in a Container
· β˜• 5 min read
1. Compiling Models with TensorRT-LLM 1.1 Introduction to TensorRT-LLM When using TensorRT, you usually need to convert the model to ONNX format, then convert the ONNX to TensorRT format, and finally run inference in TensorRT or Triton Server. But this conversion process is not simple, and you often run into

Basic Usage of nvidia-smi
· β˜• 9 min read
1. What Is nvidia-smi nvidia-smi stands for NVIDIA System Management Interface, the interface NVIDIA provides for managing and monitoring GPUs. nvidia-smi calls NVML. NVML stands for NVIDIA Management Library, a library that provides a set of C APIs for NVIDIA GPU monitoring and management. 1.1 Queryable State ECC error counts GPU utilization Active compute processes Clocks and PState Temperature and fan speed Power management Hardware identification 1.

How to Add NVIDIA GPU Nodes to a Kubernetes Cluster
· β˜• 14 min read
1. Disk Handling 1.1 Inspect Disks Inspect the new disk 1 fdisk -l Disk /dev/nvme1n1: 3.91 TiB, 4294967296000 bytes, 8388608000 sectors 1.2 Build a RAID0 If you have several small disks, a better approach is to build a RAID0 β€” this gives you not only a larger storage directory but also higher speed.