Breaking the networking wall in AI infrastructure
Memory and network bottlenecks are increasingly limiting AI system performance by reducing GPU utilization and overall efficiency, ultimately preventing infrastructure from reaching its full potential despite enormous investments. At the core of this challenge is a fundamental trade-off in the communication technologies used for memory and network interconnects.
Datacenters typically deploy two types of physical cables for communication between GPUs. Traditional