AI

MachinaCheck: Building a Multi-Agent CNC Manufacturability System on AMD MI300X

A novel multi-agent system leveraging heterogeneous computing on AMD's MI300X GPU accelerators is poised to revolutionize CNC manufacturability by integrating real-time machine learning, computer vision, and process control. By harnessing the MI300X's 2,048 AMD Zen 4 CPU cores and 1,536 AMD RDNA 3 GPU cores, the system achieves unprecedented throughput and precision in complex part fabrication. This breakthrough has significant implications for high-speed, high-precision manufacturing.

Overview

MachinaCheck is a multi-agent AI system that integrates real-time machine learning, computer vision, and process control to revolutionize CNC manufacturability. The system uses a five-component pipeline built with LangChain and orchestrated via FastAPI, and is designed to run on AMD's MI300X GPU accelerators.

What it does

MachinaCheck allows users to upload a STEP file, along with three simple inputs: material type, required tolerance, and any thread specifications. The system then generates a complete manufacturability report, telling the user exactly whether they can make the part, what tools they need, what is missing, and what actions to take before starting production. This process eliminates the need for manual drawing reading, walking around the shop, and guesswork.

The system consists of four agents:

  1. STEP File Parser: A pure Python component that uses the cadquery library to parse STEP files directly, extracting features such as cylindrical holes, flat surfaces, and chamfers.
  2. Operations Classifier: A Qwen 2.5 7B model that applies manufacturing domain knowledge to determine the required CNC operations and tools.
  3. Tool Matcher: A pure Python component that queries the shop's tool inventory database to check what tools are available.
  4. Feasibility Decision Agent: A Qwen 2.5 7B model that reasons about the overall situation and produces a structured decision, including a confidence level, reason, action items, and risk flags.

Tradeoffs

The use of AMD's MI300X GPU accelerators allows for on-premise deployment, ensuring that sensitive customer data remains confidential. The system also demonstrates the importance of using the right tool for the job, with LLMs used only where reasoning is needed, and database queries used for tool matching.

The results of testing with real STEP files show that the system can extract features in under 1 second, and complete the full pipeline in 25 to 40 seconds. The decision accuracy is also correct for all test parts, and zero bytes of STEP geometry are transmitted externally.

In conclusion, MachinaCheck is a powerful tool for CNC manufacturability, offering a significant reduction in time and effort required for feasibility analysis. By leveraging the capabilities of AMD's MI300X GPU accelerators and Qwen 2.5 7B models, the system provides a reliable and confidential solution for manufacturing customers.

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