DynaSplit balances energy efficiency, latency, and scalability for edge-cloud AI inference. Learn how it achieves up to 72% energy savings while meeting 90% of latency goals in real-world tests.

DynaSplit: A framework optimizing AI inference on edge devices by dynamically splitting neural networks and configuring hardware. Balances energy efficiency and latency, enabling sustainable AI deployment in edge-cloud environments.