Rethinking Ethernet For The AI Scale-Up Era: Inside ESUN


Every generation of AI infrastructure has redefined what "the network" means. In today's training clusters — scaling from hundreds to hundreds of thousands of accelerators — the interconnect is no longer a supporting actor. It has become a first-order determinant of system throughput, utilization, and cost per token. Accelerators inside these systems don't just move data; they synchronize o... » read more

Verifying Scale-Up And Scale-Out In Data Centers


Semiconductor Engineering sat down to discuss challenges and solutions for data center build-out and build-up with Gordon Allan, Siemens EDA director of verification IP; Rishi Chugh, vice president of product marketing for network switching at Marvell; Saravanan Kalinagasamy, senior director of ASIC design and validation at Astera Labs; and Jalaj Gupta, product engineering lead at Siemens EDA. ... » read more

Multiple AI Scale-Up Options Emerge


Artificial intelligence (AI) workloads are very different from those traditionally run inside of data centers, and while the current infrastructure can accommodate those needs, there is a constant demand for higher performance and better power efficiency. It can take months to train a large language model, even with a huge number of processing elements. Typically this involves commandeering ... » read more