Showing 4 of 4 projects
A model-definition framework for state-of-the-art machine learning models across text, vision, audio, and multimodal tasks.
A high-performance serving framework for large language models and multimodal models, delivering low-latency and high-throughput inference.
A minimalist, high-performance machine learning framework for Rust with a focus on serverless inference and GPU support.
A visual workflow-based AI deployment framework for multi-platform and multi-backend inference, supporting large models and edge devices.
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