Recap · Sunday, 6 September 2026 · JAS Green Village Ramkhamhaeng

vLLM Bangkok Day 2026, in full

Sunday 6 September 2026 at JAS Green Village Ramkhamhaeng. The complete recording, the slide decks the speakers shared, and photos from the afternoon.

Watch the recording

The whole afternoon — from the opening to the closing panel — recorded from the main hall.

Watch on YouTube ↗· AGIcafet

Recorded by @creatorsgarten team

Slides

Decks shared by the speakers, in programme order.

  1. Opening

    Opening — introducing the vLLM roadmap in the Thailand ecosystem

    AGICAFETOrganiser
    Open PDF20 pages · 8.5 MB

  2. Talk

    Introduction to vLLM: High-Performance LLM Serving & Maximizing Performance on Limited GPUs

    Tun Jian TanEmbedded LLM
    Open PDF29 pages · 2.3 MB

  3. Talk

    Inside vLLM: Production Best Practices, Model Integration and Road Map

    Tiezhen WANGInferact
    Open PDF12 pages · 1.3 MB

  4. Talk

    Scaling Distributed Inference with llm-d

    Jing Wen NgRed Hat
    Open PDF24 pages · 2.0 MB

  5. Talk

    Supercharging vLLM with LMCache: KV-Cache Reuse in Practice

    Shaw NguyenTensormesh
    Open PDF25 pages · 3.6 MB

Missing a deck? Some speakers are still sending theirs in. ·Full agenda & speakers →

Photos

Moments from the afternoon, from the opening to the networking.

Speakers and organisers together on stage under the vLLM Bangkok Day 2026 LED wall
  • The opening session at the main LED wall, hosted by AGICAFET
  • A full J.AI Arena during the afternoon sessions
  • Tun Jian Tan (Embedded LLM) presenting Introduction to vLLM
  • The AI Adoption in Thailand panel: Dr Pin Siang Tan, Tuan Luong and Dr Komes Chandavimol, moderated by Sutthinee Theppariyapol
  • Dr Komes Chandavimol (KBTG) answering a question on the panel
  • Group photo with CK Cheong (Fastwork) after his talk, Thai and Global Perspective
  • CK Cheong in conversation on stage
  • Tiezhen Wang (Inferact) opening Inside vLLM
  • Jing Wen Ng (Red Hat) presenting Scaling Distributed Inference with llm-d
  • The llm-d architecture slide during the Red Hat session
  • Shaw Nguyen (Tensormesh) presenting Supercharging vLLM with LMCache
  • Shaw Nguyen on stage during the LMCache session
  • Sattaya Singkul (True Digital Group) on the vLLM Developers in Thailand panel
  • Attendees talking in the networking area beside the J.AI Arena bar
  • Conversations between sessions
  • Speakers and attendees mingling at the break
  • Attendees at the lounge counter under the vLLM Bangkok Day banner

More vLLM sessions in Thailand

Meetups and talks from other events, with the slides.

All events →
  • Pie & AI title slide: a sweet meetup for deep learners, by DeepLearning.AI

    Past eventOrganised by our community

    · 13:00–18:00 · Cleverse Rama 9

    Pie & AI Bangkok 2026

    A DeepLearning.AI community meetup hosted by AGICAFET

    An afternoon on AI at the edge, organised by AGICAFET as a DeepLearning.AI Pie & AI meetup at Cleverse Rama 9: an opening from Andrew Ng, then talks on NVIDIA Isaac and physical AI (AGICAFET), agentic orchestration on local hardware (IBM), KV-cache reuse (Tensormesh), practical edge AI (True Digital), local AI for autonomous vehicles (Aueaphum Aueawatthanaphisut), Mamba inference on embedded systems (Friso Smit) and letting vLLM pick the right skill from a large collection (Datakarate), with networking to close.

    Slides & details →5 decks

  • Title slide: Scaling Intelligence — Agentic Workflows with vLLM, Jun Kang Chow, TechXchange 28 April 2026

    Past eventA vLLM session at another organisation’s event

    · 15:00–19:00 · IBM Thailand (SP Building)

    IBM TechXchange Thailand 2026

    The Agentic Workforce: Scaling Multi-Agent Orchestration

    A half-day on multi-agent orchestration hosted by IBM Thailand with the AI Alliance at the SP Building. Speakers from KBTG, ETDA and its AI Governance Clinic, SCG Digital, CJ More, EGG Digital, NECTEC, IBM and Embedded LLM, plus panels on Responsible AI frameworks and enterprise security. Embedded LLM gave the vLLM session.

    Slides & details →1 deck

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