How is data movement becoming a critical bottleneck in AI compute architectures?

Sailesh Kumar, CEO from Baya Systems, explains:

• Data movement between compute, I/O, memory, and caches is emerging as a fundamental challenge in scaling AI systems efficiently
• On-chip network protocols like U-link and ARM standards are becoming essential for enabling compute elements to communicate effectively
• Their chiplet-aware solution creates unique fabric architectures that optimize data movement while maintaining low power and silicon costs