LLM
Common AI Base Images and Startup Commands
· β˜• 3 min read
1. What the Image Tag Suffixes Mean base/cuda: includes the CUDA runtime runtime: builds on base, adding the CUDA math libraries and the NCCL and cuDNN runtimes devel: builds on runtime, adding headers and the development tools used to build CUDA images; particularly useful for multi-stage builds cuddn: builds on the above, adding the cuDNN neural network acceleration library

After a Month, I Finally Found an Approach to Writing an AI Agent
· β˜• 6 min read
1. Keep Trying to Ship the AI Application Side Based on my understanding of operations, I developed an open-source operations tool, https://github.com/shaowenchen/ops . The Ops tool divides operations work into two categories β€” script execution and file distribution β€” and both operations targets, hosts and Kubernetes clusters, implement both of

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

Integrating GPT Services into WeChat and Official Accounts
· β˜• 3 min read
Paid integration service available at 200 RMB/year; technical support is also available at 200 RMB per session, capped at 1 hour. Follow the official account to get contact details. 1. Information You Need to Provide Go to https://mp.weixin.qq.com/ and open 【Settings and