Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Artificial intelligence (AI) and machine learning (ML) are about more than algorithms: The right hardware to turbocharge your AI and ML computations is key. To speed up job completion, AI and ML training clusters need high bandwidth and dependable transport with predictable low-tail latency (tail latency is the 1 or 2% of a job that trails the rest of responses). A high-performance interconnection can optimize data center and high-performance computing (HPC) workloads across your portfolio of hyperconverged AI and ML training clusters, resulting in lower latency for better model training, increased data packet utilization and lower operational costs. Today, San Jose-based Broadcom announced its contribution to the need for high-performance interconnections: the StrataXGS Tomahawk 5 switch series, which offers 51.2 Tbps of Ethernet switching capacity in a single, monolithic device – more than double the bandwidth of its contemporaries, the company claims.