Cover Image for vLLM Inference Meetup Mumbai
Cover Image for vLLM Inference Meetup Mumbai
4 Going

vLLM Inference Meetup Mumbai

Hosted by Prasad Mukhedkar & 4 others
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About Event

​Join us for our first ever vLLM and llm-d AI inferencing meetup in Mumbai, where we will focus on the architecture, optimizations, and raw engineering required to run inference at scale.

​Whether you’re looking to squeeze every last token out of your GPU cluster or you're curious about the latest commits to the vLLM and llm-d ecosystems, this is the room you want to be in.

​​​What to Expect

  • ​Deep Technical Sessions: Hear directly from the maintainers and core committers of vLLM and llm-d

  • ​Scale in Production: Learn from industry leaders about deploying LLMs in production

  • ​Networking: Stick around for food and soft drinks. It’s a great chance to chat with the speakers and exchange ideas with fellow developers and engineers.

​​​Who Should Attend

  • ​vLLM and llm-d users and contributors

  • ​ML and infra engineers working on inference and serving

  • ​Platform teams running GenAI in production

  • ​Anyone curious about efficient inference across local, cloud, and Kubernetes

​​​Event Agenda

​1:00 PM – 1:30 PM | Registration & Welcome Registration, Keynote session.

2:00 PM – 2:30 PM | Production Deployment of BharatGen Models using vLLM ecosystem.

​An overview of the latest updates and developments across vLLM and llm-d.

​2:30 PM – 3:00 PM | llm-d for Sovereign & Agentic Workloads TBD

​An overview of llm-d’s distributed inference stack, along with ongoing optimization and benchmarking efforts for sovereign and agentic workloads.

​3:00 PM – 3:30 PM | Distributed Inference on ROCm with WideEP on vLLM & llm-d by TBD

​Explore distributed inference on AMD ROCm using WideEP with vLLM and llm-d.

​3:30 PM – 4:00 PM | Tea/Coffee and Snacks

​4:00 PM – 4:30 PM | Inside vLLM Semantic Router: Intelligent Routing for LLM Inference TBD

​Explore how vLLM Semantic Router uses intelligent, cache-aware routing based on request semantics, model capabilities, workload characteristics, and infrastructure constraints to optimize inference.

​4:30 PM – 5:00 PM | Scaling Inference at NxtGen Using the vLLM Ecosystem TBD NxtGen

​Learn how NxtGen is leveraging the vLLM ecosystem to scale LLM inference workloads.

​5:00 PM – 5:15 PM | Break

​5:15 PM – 6:15 PM | Hands-on Workshop:

Location
Indian Institute of Technology Bombay
IIT Area, Powai, Mumbai, Maharashtra 400076, India
4 Going