I’m thinking of starting **FREE live sessions on AI Infrastructure & Networking** soon. If you are interested, **LIKE this post** 👍 so I can see how many people would like to join. If there is a topic you want me to cover, additionaly **write it in the comments**. Some of the topics we can cover: AI Infrastructure • AI Training • AI Inference • GPU Architecture • HBM • PCIe • DPUs • SmartNICs • Scale-Up vs. Scale-Out • Data Parallelism • Tensor Parallelism • Pipeline Parallelism • Expert Parallelism • Mixture of Experts (MoE) • Collective Communications • AllReduce • AllGather • ReduceScatter • NCCL • CUDA • RDMA • RoCEv2 • InfiniBand • Ethernet for AI • Lossless Ethernet • PFC • ECN • DCBX • ETS • DCQCN • Congestion Control • Clos/Fat-Tree • Rail-Optimized Design • Dragonfly • ECMP • Flowlet Switching • Adaptive Routing • Incast • Elephant Flows • Tail Latency • NVLink • NVSwitch • GPUDirect RDMA • NVMe-oF • AI Storage • AI Storage Networking • AI Cooling • AI Data Center Power • Ultra Ethernet (UEC) • UET • UALink • SUE-T • MTU • GPU Utilization • AI Fabric Telemetry • AI Cluster Design And probably many more as we go. #AI #AIInfrastructure #AINetworking #ArtificialIntelligence #Networking

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