Building Conifer, an open-source local inference runtime (free + open source)

1. 1Build a local inference engine using Rust and handwritten kernels
2. 2Configure the engine to support fully local agents
3. 3Test the engine with small and large models to identify performance bottlenecks
4. 4Apply optimizations to improve performance on larger models
5. 5Run benchmarks to compare Conifer's performance with existing solutions like LLaMA and MLX

Machine learning engineers, software engineers, and researchers on a team can benefit from Conifer's open-source local inference runtime to improve model performance and reduce dependencies on cloud services. This project can also interest developers working on Apple Silicon and Rust

💡 Conifer's local inference engine can outperform existing solutions for small models and has the potential to match their performance on larger models, making it an attractive option for developers and researchers

🚀 Conifer: a free, open-source local inference runtime for Apple Silicon, built with Rust and handwritten kernels #AI #ML #OpenSource