Gelu AI Raises $2M Seed to Optimize Machine Learning Infrastructure

Gelu AI has secured $2 million in Seed funding to tackle the massive efficiency losses in GPU-heavy machine learning workflows. While the market focuses on large models, Gelu AI builds the backend infrastructure that prevents thermal throttling and minimizes computing waste. Their platform allows developers to train models faster and at a much lower cost.

This seed investment is a validation of 'Efficiency-as-a-Service' in the AI stack. By optimizing low-level protocols, Gelu AI provides a critical advantage to enterprises running large-scale computations. The funds will be used to expand their team of data engineers and AI researchers to further refine their autonomous optimization engine.