MAGNITUDE LAUNCHES SELF-OPTIMIZING INFERENCE ENGINE

Magnitude was built by Anders and Tom, software engineers who previously created an open-source browser agent that gained over 4,000 GitHub stars and 100,000 downloads. While developing that project, they struggled to run local models efficiently on existing inference engines. The startup's core innovation is self-optimization—the engine automatically tunes itself to maximize speed on whatever hardware it's deployed on. This addresses a gap in the current market, where inference engines typically require manual tuning or only work optimally on specific configurations. Magnitude supports multiple operating systems and hardware setups without requiring specialized hardware. The 2x speed improvement over llama.cpp represents a significant efficiency gain for developers running agents locally. The tool targets developers and enterprises looking to run AI agents on local infrastructure without sacrificing performance.