We have hosted the application mosec in order to run this application in our online workstations with Wine or directly.


Quick description about mosec:

Mosec is a high-performance and flexible model-serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API.

Features:
  • Web layer and task coordination built with Rust, which offers blazing speed in addition to efficient CPU utilization powered by async I/O
  • User interface purely in Python, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing
  • Aggregate requests from different users for batched inference and distribute results back
  • Spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads
  • Designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems
  • Focus on the online serving part, users can pay attention to the model optimization and business logic


Programming Language: Python.
Categories:
Large Language Models (LLM)

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