👉 vsnet, or the Video Connectivity Network, is a high-performance networking technology developed by NVIDIA that enables efficient and low-latency communication between GPUs and CPUs, particularly in data center environments. It leverages NVIDIA's proprietary NVLink interconnect and RDNA2 compute architecture to facilitate high-bandwidth, low-latency data transfer, making it ideal for demanding AI and machine learning workloads. By optimizing the communication between GPUs and CPUs, vsnet reduces bottlenecks and enhances overall system performance, allowing for better scalability and energy efficiency in large-scale computing tasks. This technology is especially beneficial in scenarios requiring real-time processing, such as video rendering, training deep neural networks, and accelerating scientific simulations.
