Bhumi–OSS Python Library w Rust Underhead for 2.5x Faster LLM Inference

Show HN: Bhumi–OSS Python Library w Rust Underhead for 2.5x Faster LLM Inference

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Read the full blogpost at https://rach.codes/blog/Introducing-Bhumi(click on reader to see the technical breakdown!) AI inference should be fast, but in practice it’s painfully slow. Inference bottlenecks slow down LLM-powered chatbots and AI workflows everywhere.I built Bhumi to fix that. Bhumi is a Python library designed for developers, yet its performance-critical core is implemented in Rust (via PyO3) for near-native speed. This hybrid approach delivers up to 2.5x faster response times across providers like OpenAI, Anthropic, and Gemini—without changing the underlying model.THE PROBLEM: SLOW AI INFERENCEMost LLM clients suffer from three main issues: 1. Batch Processing Overhead – Clien

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Website: bhumi.trilok.ai