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This course is a practical introduction to the networking technologies behind modern AI infrastructure, aligned with the NVIDIA AI Networking (NCP-AIN) certification. It starts with why AI workloads need faster networks and builds up through InfiniBand architecture, RDMA, and GPU data paths. From there it covers fabric design, routing, and congestion control, followed by Ethernet for AI with Spectrum-X, RoCE, and spine-leaf data center designs. It then covers DPUs and SuperNICs, monitoring and telemetry tools, and GPU communication with NVLink, NCCL, and SHARP. It closes with NVIDIA DGX platforms and storage for AI. Each section pairs theory with hands-on labs, so you can design, configure, and troubleshoot high-performance AI networks.
I am Lead Consultant in Domain of Security & Networks Engineering with 10+ years of experience, mainly focused on Security engineering Design & Security Architecture. I currently hold Cisco CCIE Security and multiple Vendors expert level certifications as well.
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