Full Agenda for The Next AI Platform: 2020 Edition

We are just 18 days away from The Next AI Platform event on March 10, 2020 at The Glasshouse in San Jose. Remember, this sold out last year. If you haven’t already registered make sure to do so as soon as possible to avoid getting closed out of the unique PowerPoint-free, live-interview and hosted panel day focused on what’s next for large-scale AI infrastructure (this year’s emphasis is on inference in particular).

Below is the tentative agenda. As with all events, it is subject to last minute changes but this is the confirmed lineup as of this morning.

Please take a look at the event description and detailed bios of some of our featured guests at the main event page here.


The Next AI Platform 2020 Agenda

8:15 – 9:00 –  Registration with coffee, light breakfast, networking.

9:00 – 9:05 – Welcome and introductory statements from Next Platform co-founders (Timothy Prickett Morgan and Nicole Hemsoth) and special guest interviewers, Karl Freund (Moor Insights), Paul Teich (Liftr Insights), David Kanter (Real World Tech/MLPerf).

9:05 – 9:30  – “Reconfigurability, Efficiency for Datacenter Inference” with Ramine Roane, Xilinx.

9:30 – 9:55 – “The Evolution of Inference Systems at Facebook” with Misha Smelyanskiy (Director, AI at Facebook).

9:55  – 10:15 – “Architectural Analysis: Batch Size, Efficiency, and Real-World Constraints.” With Bill Lesinske (Groq).

10:15 – 10:35 – “Scalable Efficiency and Architectural Balance for Inference.” With Rodrigo Liang (CEO, SambaNova).

10:35 – 10:55 – Networking Break

10:55 – 11:15 – “Architectural Considerations for Next Generation Deep Learning” with Bill Dally (Chief Scientist, NVIDIA).

11:15 – 11:35 – “Building Vast, Scalable Conversational AI Platforms: Pain Points in Hardware/Software.” With Chandra Khatri (Senior AI Research Scientist, Uber).

11:35 – 11:55 – “Stable Devices, Long Roadmaps: The FPGA Path to Datacenter Inference.” With Raymond Nijssen (Chief Architect, Achronix).

11:55 – 12:15  – “Going Big on Inference: Chip Deep Dive in Use Case Context” with Andy Hock (Cerebras). Interview with early user, Brian Spears from Lawrence Livermore National Laboratory.

12:15 – 1:15 – Networking Lunch

1:15 – 1:40  – “Evolving Requirements for AI Inference Hardware: A Market, Technology Perspective. With Lip-Bu Tan (CEO, Cadence/Walden International). Audience Q&A to follow.

The Glasshouse is located in the heart of downtown San Jose with many options for hotels, parking, and dining in close walking distance. The venue is known for the quality of its catering with excellent food (provided for all attendees throughout the day) and drinks, including those provided for all attendees at the Next Platform Happy Hour that follows the event and is located (weather permitting) on the attractive Glasshouse patio.

1:40 – 2:05  – Inference Hardware Market Analysis/Perspectives. Panel featuring Lip-Bu Tan, Kanu Gulati (Khosla Ventures), Vijay Reddy (Intel Capital), Michael Stewart (Applied Ventures). Hosted by Karl Freund, Moor Insights & Strategy.

2:05 – 2:25  – “AI Training/Inference Performance Evaluation and Benchmarking.” With Peter Mattson (Google/ML Perf), Debo Dutta (Cisco/end user perspective), Maxim Naumov (Facebook). Hosted by David Kanter.

2:25 – 2:45 – “Using AI to Design AI Chips: EDA as Next Frontier for DL Growth.” With Elias Fallon (Engineering Director, Cadence Design Systems).

2:45 – 3:00  – “Hardware Requirements for Building Scalable AI Healthcare Platforms (Training/Inference).” With Miguel Alvarado (CTO, Lumiata).

3:00 – 3:20 – “Refining Machine Reasoning at Scale: The Hardware/Software Impact”. With Jason Gauci (Engineering Lead, Facebook).

3:20 – 3:40 – “I/O Considerations for Building Large-Scale AI Training and Inference Platforms”. With Scott Shadley (NGD Systems).

3:40 – 4:00 – BREAK

4:00 – 4:45 – AI Co-Design Considerations: Rapid-Fire Insights.

  • “Co-Design Challenges, Opportunities for Next-Generation AI.” With Michael Wong, Codeplay.
  • “AI Chip Design Should Begin with Code.” With Brian Rossa, F0cal.
  • “Challenges for AI in Healthcare (HW/SW).” With Fernanda Foertter, Nvidia.
  • Reducing Hyperscale Requirements for Large-Scale Reinforcement Learning. With Enes Bilgin, Microsoft Research.

4:45 – 5:15  – “When Latency Defines Inference System Performance: An Extreme Use Case.” With Ryan Coffee, SLAC National Accelerator Laboratory.

5:15 – 5:25 – “Considerations for Building Large-Scale AI Systems: From Acceleration to Data Movement and Beyond.” With Dylan Boday, IBM.

5:25 – 5:45  – “Emerging Technology Requirements at Swisscom: AI From Datacenter to the Edge.” With Cornelius Heckrott, Swisscom. (Hosted by Deepak Rana).

5:45 – 5:50 – Closing Remarks from The Next Platform team.

6:00 – 7:00 – Happy Hour on The Glasshouse Patio (weather permitting). Appetizers, beer, wine, soda, etc.

Important Note: Please send advance questions for interviewers to consider when conducting their interviews with any of the speakers/panelists listed above to Nicole Hemsoth – nicole@nextplatform.com

We look forward to seeing you!

More on speaker bios, event focus, format and other topics at the main event page here.

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