Course Introduction
This three-part episode examines the bandwidth, latency, nonblocking-fabric, and congestion-control demands of AI/ML workloads; introduces specialized networking technologies such as RoCE and RDMA; and maps the roles of CPUs, GPUs, DPUs, SmartNICs, NVLink, and BlueField across an end-to-end AI infrastructure.
Total video duration: 2 hr 2 min 21 sec.
Companion Git repository: No dedicated repository for this episode.
COURSE RECORDINGS
Course Video
Watch the full recording here or open it on the original video platform.
BILIBILI01
FULL SESSION
2025 Evolution Ep. 10.1: AI Networking Characteristics and Design
54 MIN
Watch on the Original PlatformBILIBILI02
FULL SESSION
2025 Evolution Ep. 10.2: Specialized AI Networking Technologies
35 MIN
Watch on the Original PlatformBILIBILI03
