The AI inference race moves beyond GPUs to reshape data center infrastructure

AI inference infrastructure is becoming a system-level challenge as organizations move generative and agentic applications into production. Graphics processing unit performance remains essential, but storage latency, network bandwidth, data movement and power consumption increasingly determine the cost and speed of producing tokens. The requirements also vary by workload. Interactive chat prioritizes latency, batch inference emphasizes […] The post The AI inference race moves beyond GPUs to reshape data center infrastructure appeared first on SiliconANGLE.