Today we conclude our KubeCon ‘19 Series joined by Erez Cohen, VP of CloudX & AI at Mellanox. In our conversation, we discuss: Erez’s talk “Networking Optimizations for Multi-Node Deep Learning on Kubernetes.” where he discusses problems and solutions related to networking discovered during the journey to reduce training time.  NVIDIA’s recent acquisition of Mellanox, and what fruits that relationship hopes to bear.  The evolution of technologies like RDMA, GPU Direct, and Sharp, Mellanox’s solution to improve the performance of MPI operations, which can be found in NVIDIA’s NCCL collective communications library. How Mellanox is enabling Kubernetes and other platforms to take advantage of the various technologies mentioned above.  Why we should care about networking in Deep Learning, which is inherently a compute-bound process.  The complete show notes for this episode can be found at twimlai.com/talk/345.