AI and scientific computing applications are great examples of distributed computing problems. The problems are too large and the computations too intensive to run on a single machine. These computations are broken down into parallel tasks that are distributed across thousands of compute engines, such as CPUs and GPUs.  To achieve scalable performance, the system … Continue reading Advancing Performance with NVIDIA SHARP In-Network Computing