The Silk software platform powers high-performance storage for AI model training on Azure, delivering ultra-low microsecond latency and up to 20GB/sec throughput per workload to ensure nodes never wait for data. It provides high IOPS and frictionless scaling, slashing training cycle times, cutting costs, and streamlining workflows for AI practitioners. By optimizing large dataset access and minimizing transfer delays, Silk enabled faster convergence in real-world scenarios, such as accelerating multi-node training runs by enabling seamless data delivery across distributed clusters.

Join for free to read