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IEEE Tech Talk -Network Architecture for AI/ML Workloads

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Artificial Intelligence (AI) has emerged as a revolutionary technology that is transforming various industries and aspects of our daily lives. The rapid arrival of real-time gaming, virtual reality, generative AI and metaverse applications are changing the way network, compute, memory, storage and interconnect I/O interact for the next decade. As AI continues to advance at an unprecedented pace, the network needs to adapt to the humongous growth in traffic connecting hundreds of processors with trillions of transactions and gigabits of throughput. As AI moves out of labs and research projects toward wide adoption, it will demand significant computing resources. We will try to cover the probable network architectures to support AI workloads and the technology required for it. Co-sponsored by: Seattle University Student Chapter Speaker(s): Urvish Panchal Agenda: Agenda: – 5.30 PM to 6.00 PM – Networking Event with the speaker and IEEE members. – 6.00 PM to 6.50 PM – Tech Talk and Question Hour. Room: Stuart T. Rolfe Community Room , Bldg: Admissions and Alumni building, Seattle University, 824 12th Ave, Seattle, WA 98122, Seattle, Washington, United States, 98122, Virtual: https://events.vtools.ieee.org/m/366272

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