Scaling Out Deep Learning (DL) Inference and Training: Addressing Bottlenecks with Storage, Networking with RISC-V CPUs
Scale out DL inference or training is no longer just a compute problem. Networking and storage optimization are becoming more critical. This is evident with a new addition to MLPerf standards with regards to storage. In this blog we briefly explore how RISC-V can help here. The increasing complexity and data demands of deep […]