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Inference Disagg Prefill-Decode, RadixAttention + NVIDIA GTC 2026 Conf Recap

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What to expect

Inference Disagg Prefill-Decode, RadixAttention + NVIDIA GTC 2026 Conf Recap

Online meetup by the AI Performance Engineering Meetup (Madrid) focused on inference engines and a NVIDIA GTC 2026 recap. The session is hosted online via Zoom on Mon, Mar 23, 2026 at 5:00 PM.

What this is about

  • Deep dives into inference engines and modern LLM serving stacks, including Disaggregated Serving, PagedAttention, and RadixAttention.
  • A recap of NVIDIA GTC 2026 AI conference highlights from a systems performance perspective.

Who should attend

  • AI/ML infrastructure and performance engineers
  • researchers and developers interested in end-to-end inference systems and production-ready LLM serving stacks

Details

  • Date & time: Mon, Mar 23, 2026, 5:00 PM
  • Platform: Online (Zoom)
  • Zoom link: https://us02web.zoom.us/j/82308186562
  • Organizer: AI Performance Engineering Meetup (Madrid)
  • Frequency: Every 3rd Monday of the month until Dec 31, 2026
  • Registration: Join via the event page

Agenda highlights

  • Talk #0: Introductions and Meetup Updates by Chris Fregly and Antje Barth
  • Talk #1: Inference Engines Deep Dive: Disaggregated Serving, PagedAttention, RadixAttention, and the Modern LLM Serving Stack by Seth Weidman (SentiLink; author of Deep Learning from Scratch)
    • Covers end-to-end inference engines, KV-cache optimization and production tradeoffs, and interfaces with vLLM, SGLang, and TensorRT-LLM
  • Talk #2: NVIDIA GTC 2026 AI Conference Recap by Chris Fregly (author of AI Systems Performance Engineering)
    • Highlights from NVIDIA GTC 2026

Related resources

Register here: Event page

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