biren-suinfer

Community

High-performance GPU deep learning inference for wall-rending models.

Authordongg622
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables fast and reliable deployment of deep learning models on wall-rent GPU hardware, streamlining inference workflows for AI engineers.

Core Features & Use Cases

  • Model deployment: Deploy ONNX and TorchScript models onto wall-rent GPUs for efficient inference.
  • Operator scanning: Quickly determine model operator support via dry run mode.
  • Extension and customization: Add custom operators with Plugin mechanisms for specialized inference tasks.
  • Use Case: An AI engineer needs to validate whether a new model is compatible with wall-rent GPU hardware before deployment by scanning support with dry run, then performing inference after successful validation.

Quick Start

Use the suInfer Skill to quickly set up a model for high-performance inference on wall-rent GPU hardware.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: biren-suinfer
Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#biren-suinfer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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