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AI Infrastructure: Talks + AI Agent Workshops
Builders advancing the core layers of AI—from compute and hardware to tools and deployment platforms. Featuring global perspectives on scaling AI infrastructure sustainably, including energy and utility constraints, supporting emerging models, and enabling next-generation applications.
TechEquity Ai invites you to an evening of applied AI learning and hands-on building at the Snowflake SVAI Hub in Menlo Park. We bring together AI leaders, developers, founders, early-career talent, and professionals exploring AI.
This session is part of the TechEquity Ai Monthly Forum Series, combining strategic insights and real-world use cases from industry leaders, alongside technical workshops and live demonstrations.
SPEAKERS
Mamta Kochar, Sr Program Manager, Customer Engagement at Google
Abhijeet Joshi, Senior Technical Program Manager at Nvidia
Skip Rizzo, Chief Scientist at UbiquityVX Inc.
Walter Greenleaf, Research & Innovations Director at Stanford Medical Mixed Reality Center
Richie Bachala, Solutions Architecture Leader at Snowflake
More speakers to be announced.
What to Expect
Program details are subject to change.
3:00–3:30 PM | Registration
Check in. Grab a drink, enjoy light refreshments, and connect with fellow attendees before the program begins.
3:30–8:15 PM | Talks + Workshops
Program details and order are subject to change.
[Workshop] The Data Layer for AI: Scaling Web Access for Agents & Model Training @Workshop Room
TBA/BrightData
[Keynote] AI, Ethics, and the Rules Nobody Agreed On (Yet) @Meetup Room
Mamta Kochar/Google
[Panel] AI Infrastructure @Meetup Room
TBA
Moderator: Abhijeet Joshi/Nvidia
[Fireside Chat] @Meetup Room
Skip Rizzo/UbiquityVX, Inc.
Moderator: Walter Greenleaf/Stanford
[Workshop] Foundation to Intelligence Series w/ Cortex Code @Workshop Room
Richie Bachala/Snowflake
[Networking] @Meetup Room
A dedicated networking session
8:15–8:30 PM | Closing
WHO SHOULD ATTEND
Infrastructure builders and platform engineers advancing compute, tooling, and deployment systems for scalable AI
Developers and engineers exploring applied AI and agent-based systems
Startup founders building AI-powered products
Students and career-transition professionals looking to deepen hands-on AI experience
Anyone interested in practical, responsible approaches to modern AI development
IMPORTANT DETAILS
🏢In-Person
Keynotes
Technical hands-on workshops
(Please bring your laptop to participate)Networking
💻Online Attendees
Online participants can join the event via a Zoom link. Access details will be sent to the email address provided during registration prior to the event.
Code of Conduct: This event follows TechEquity Ai’s community code of conduct to ensure a respectful, inclusive environment for all participants
SPONSORSHIP OPPORTUNITIES
Interested in getting involved? We welcome sponsors and exhibitors to take part through speaking opportunities, workshops, live demos, exhibits, and other formats.
EVENT INFO
🎟️ Registration: RSVP required (limited capacity)
🍽️🪑 F&B and Seating: Limited and available on a first-come, first-served basis
🏢 Venue: Snowflake Silicon Valley AI Hub (SVAI)
📍 Address: 8th Floor at 135 Constitution Dr. Menlo Park, CA 94025
🚗Parking: Self-park in the garage next to the 135 Building
❗Arrival Guide: Download the guide at bit.ly/SVAI-Arrival-Guide
About the Event Organizer
TechEquity Ai is a nonprofit organization dedicated to democratizing access to artificial intelligence (AI) knowledge and applications.
Our flagship initiative is the TechEquity Ai Summit, a series of high-impact events designed to foster innovation, broad participation, and education in AI. In addition to the Summit, TechEquity Ai hosts a Monthly Forum Series to keep the community engaged year-round through ongoing learning, networking, and hands-on exploration of emerging AI tools and ideas.
Across our programs, we bring together builders, leaders, and learners through keynotes, panels, fireside chats, hands-on workshops, and interactive demos.
To learn more about TechEquity Ai and our programs, visit techequity-ai.org or reach out to us at info@techequity-ai.org.
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