Ambient Scientific has introduced the GPX10 Pro, a system-on-chip designed specifically for edge AI applications. The device implements ten programmable AI cores based on the company’s DigAn silicon architecture, which maps neural network matrix-multiply operations and activation flows directly to in-memory analog compute blocks. This structure avoids the overhead of a conventional instruction set, enabling […]
Ambient Scientific
What’s slowing down Edge AI? It’s not compute, it’s data movement
When building edge AI systems, engineers often assume compute is the primary bottleneck. But in most cases, it’s the inefficiencies of data movement between sensors, memory, and processors that dominate power and latency. This article explains why and how in-memory-compute architectures can help. Why your Edge AI chip falls short Most engineers deploying AI at […]
