French Startup Kog Challenges GPU Misconception in Agentic Workflows

French AI startup Kog is developing techniques to extract more inference power from GPUs, arguing that the prevailing view of GPUs as ill‑suited for agentic workflows is mistaken. By refining GPU utilization, Kog aims to enable more efficient, real‑time agentic applications. The company’s approach suggests that existing GPU hardware can be leveraged more effectively for complex, decision‑driven AI tasks, potentially reducing the need for specialized accelerators. This shift could lower costs and broaden the adoption of advanced AI agents across industries.