Physical AI Dinner Series at Databricks Summit
- Date
- 2026-06-17
- Location
- San Francisco, CA, USA
- Host
- Personal
About this event
Physical AI is moving from research demos to real systems, and the most useful conversations are happening in smaller rooms with people who are actually building. This dinner during Databricks Summit is designed for operators, founders, researchers, and technical leaders who want to talk seriously about autonomy, robotics, embodied intelligence, and the infrastructure that makes physical AI work in the real world. If your work sits anywhere between models and machines, this is a chance to meet peers who understand both the promise and the practical constraints. Expect thoughtful discussion, strong technical curiosity, and a room full of people interested in what it really takes to deploy AI beyond the screen. About the Event This is an in-person dinner gathering in San Francisco focused on the physical AI ecosystem. The format is intentionally simple: bring together people working across autonomy, robotics, applied AI, data systems, and the broader community for a more candid, high-signal conversation than you usually get in a conference hallway. The dinner setting matters. It creates space for deeper exchanges than a crowded reception or a tightly scheduled panel. Instead of one-way presentations, the emphasis is on discussion, connection, and sharing perspectives across disciplines that do not always get to spend enough time in the same room. Because this takes place alongside Databricks Summit, the event is especially timely for people thinking about the data, training, simulation, evaluation, and deployment challenges behind physical systems. Whether you are building autonomous products, enabling the tooling layer, or studying the next wave of embodied intelligence, the goal is to connect the people pushing this category forward. What to Expect The evening will center around dinner and conversation, with a format that supports both structured introductions and organic discussion. You should expect a room that is social, technically engaged, and focused on substance rather than surface-level networking. A typical flow for the evening may include: Arrival and informal introductions so you can quickly get a sense of who is in the room Dinner and small-group discussion around current challenges, emerging opportunities, and where physical AI is heading next Cross-functional conversations spanning research, product, infrastructure, autonomy, and commercialization Open networking that gives you time to go deeper with the people most relevant to your work The best discussions at gatherings like this often revolve around the hard parts: data quality for real-world systems, edge cases, safety, evaluation, system reliability, simulation-to-reality gaps, and what it takes to move from prototype to repeatable deployment. You can also expect conversation around team-building, market timing, and how the broader AI stack is evolving to support physical-world applications. This is not designed to feel overly formal. You do not need a pitch deck or a rehearsed point of view. Come ready to exchange ideas, ask smart questions, compare notes, and meet others who are thinking seriously about where physical AI goes next. Why Attend Conference schedules are packed, but the most valuable opportunities often come from focused side gatherings with the right people. This dinner offers a chance to step out of the noise and spend time with others who care specifically about physical AI, autonomy, and the systems required to make them work. You may come away with: New peers in the physical AI community who share your technical and commercial interests A clearer view of the landscape across autonomy, robotics, embodied AI, and enabling infrastructure Practical insight into how others are approaching deployment, data, evaluation, and scale Potential collaborators, customers, partners, or future hires depending on your role and goals There is also value in being in a room where the context is already shared. You do not have to explain why real-world environments are messy, why hardware changes the equation, or why reliability matters as much as raw model capability. That common starting point makes for faster, better conversations. If you are attending Databricks Summit and trying to connect your work to physical systems, this dinner gives you a more focused lens. If physical AI is your core domain, it gives you a concentrated way to meet others who are shaping the field from different angles. Practical Details Location: In person in San Francisco, USA Date: Tuesday, June 16 Time: 7:30 PM PDT This is an evening event, making it a natural fit after a full day at Databricks Summit. Plan for an in-person dinner environment where conversation is the main event, so it is worth arriving ready to engage rather than just drop by briefly. Because the focus is community and discussion, this event is best suited to people who want real interaction, not passive attendance. If you are looking to meet others working at the intersection of AI and the physical world in a setting that is more intimate and more useful than a typical conference mixer, this is the room to be in. San Francisco is one of the key hubs for AI, robotics, and startup activity, which makes it the right backdrop for this gathering. The combination of summit-week energy and a more targeted dinner format should make for a strong mix of perspectives, from deeply technical to commercially grounded.
Who should attend
This is for you if you want higher-quality conversations about physical AI than you are likely to find in a general conference setting. - You are **building in robotics, autonomy, or embodied AI** and want to compare notes with others working through real deployment challenges. - You work on the **data, infrastructure, model, or tooling layer** that supports physical-world AI systems and want to meet the teams putting those systems into practice. - You are a **founder, operator, researcher, engineer, or technical leader** looking for thoughtful peers who understand both AI capability and real-world constraints. - You are attending **Databricks Summit** and want a more focused conversation around how modern AI systems connect to physical applications. - You care about topics like **evaluation, reliability, simulation, edge cases, safety, and scaling** and want discussions grounded in actual work rather than broad hype. - You value **small-group dinners and real dialogue** over crowded mixers, and you are coming ready to contribute, ask questions, and make useful connections.