Cloud Native Silicon Valley

About Event - MUST REGISTER HERE ON LUMA!
​Join us for an evening dedicated to the tools and cultural shifts driving the industry forward. We deep dive into all things AI, Platform Engineering, and Open Source, with practical demos, talks, and time to connect with other builders.

## ​Speakers:

• ​Allison Ding | Developer Advocate Data Science @ NVIDIA
• ​Sriharsha Yayi | Staff Product Manager @ Intuit
  Balachandra Maddina | Principal SWE @ Intuit
• ​Steven Liu | Technical Writer Developer Docs @ HuggingFace

## ​Agenda:

• ​4:30 PM — Check-in opens
• ​5:25 PM — Welcome + kickoff
• ​5:30–5:55 PM — Tech Talk 1
• ​6:00–6:25 PM — Tech Talk 2
• ​6:30–6:55 PM — Tech Talk 3
• ​7:00–8:00 PM — Networking + happy hour

​​Tech Talk 1: Prompts to Pixels with Diffusers
Speakers: Steven Liu, HuggingFace
About this talk: This talk introduces the Diffusers library, an open-source toolkit for running and customizing diffusion models like Flux. Learn how diffusion models start from pure noise and transform it into images or videos and why prompting matters. We'll end with a live demo on Hugging Face Spaces where we prompt a model together and generate images or input images and generate other images.

​​Tech Talk 2: Build Production-Ready Async AI Agents with Numaflow
Speakers: Sriharsha Yayi and Balachandra Maddina, Intuit
About this talk: We will use open-source Numaproj to build asynchronous AI Agents. Tackling one of our biggest Accounting Agent applications, learn how event-driven architecture decouples high-latency LLM calls to prevent system blocking. We'll end with a live demo where we set up a pipeline, send an event to a Kafka topic, and watch responses in the logs.
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Tech Talk 3: End-to-End GPU-Accelerated Data Science
Speaker: Allison Ding, NVIDIA
About this talk: This talk introduces NVIDIA's ecosystem of GPU-accelerated data science (for data processing, machine learning) — cuDF, Polars, cuML, and Triton — and shows how they can dramatically speed up every stage of a data science workflow with minimal code changes from familiar Python APIs. Using a real-world fraud detection dataset, we'll walk through live benchmarks at each stage and finish with deploying a model to production using Triton for millisecond-latency inference. We'll also demo an end-to-end ML agent powered by vLLM inference, running on DGX Spark.

This meetup is a great opportunity to connect with fellow engineers, learn about cutting-edge technologies, and engage with the open source community.
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We look forward to seeing you Thursday!

Reminder: Due to venue regulations you MUST register here and present a photo ID to enter the facility. Attendees must be age 21 and above.

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## ​About the venue hosts: Intuit Open Source

​Intuit is dedicated to open source, not only as users but also by maintaining and contributing to various tools and communities like CNCF, Argo, Numaproj, Istio, GraphQL, Kubernetes, and web/mobile ecosystems. Join the LinkedIn Intuit open source community for updates, best practices, and discussions!

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​Please note this event is restricted to individuals aged 21 and above due to venue regulations.

Location
Please register to see the exact location of this event.
Mountain View, California