The organizers have shared the schedule for the Hot Chip Symposium 2022. Intel has booked a lot of presentation time with experts sharing information and insight about its latest GPUs, CPUs, foundry technologies, etc. Other key PC technology firms at Hot Chips 34 (opens in new tab) include AMD, Arm, and Nvidia. Well-known tech industry pioneers like Samsung, Tesla, MediaTek, and Cerebras will be there. Due to the ongoing pandemic situation, Hot Chips 34 will be a virtual conference that will take place live over the days specified. Still, all presentations will be recorded and made available after processing.
Intel's Hot Chips 34 Schedule
- Intel’s Ponte Vecchio GPU: Architecture, System and Software. Monday, August 22, 9 – 11am
- Heterogenous Integration Enables FPGA Based Hardware Acceleration for RF Applications. Monday, August 22, 11.30am – 1.30pm
- Semiconductors Run the World. Monday, August 22, 2.30 – 3.30pm
- Meteorlake and Arrowlake : Intel Next Gen 3D Client Architecture Platform with Foveros. Tuesday, August 23, 5 – 7pm
- Next-Generation Intel processor build for the edge - Intel Xeon D 2700 & 1700. Tuesday, August 23, 5 – 7pm
Our readers' most interesting Intel presentation will concern Meteor Lake and Arrow Lake technologies on Tuesday. Intel's Wilfred Gomes will host this presentation.
Meteor Lake first successfully booted up in Windows, Chrome, and Linux last month, and it is due to begin shipping to customers in 2023 as 14th Gen Core processors. It looks like Meteor Lake will be a mobile-first architecture, and the presentation will take place in a segment of Hot Chips devoted to mobile and edge processors. Meteor Lake chips will scale from 5W on the mobile side up to 125W for desktops.
To remind readers of the importance of Meteor Lake for Intel, it will be a platform that debuts several essential technologies. Meteor Lake utilizes the Intel 4 process node. We already know it will feature a flexible tiled architecture with chiplets and hybrid cores and a next gen integrated GPU and AI acceleration (a trend set by Arm mobile processors).
The Hot Chips 34 presentation descriptions confirm that Meteor Lake will feature a "Next Gen 3D Client Architecture Platform with Foveros," or a new generation 3D Foveros implementation, with doubled connection density compared to the previous gen. As far as we know, right now, Arrow Lake, or the 15th Gen Core processors, will carry through most of the features of Meteor Lake with a die shrink to Intel 18A. Meteor Lake and Arrow Lake might share a common platform like we have seen confirmed that Alder Lake and Raptor Lake do.
AMD, Nvidia, and Tesla
AMD will also have multiple presentations at Hot Chips. It will discuss its latest Instinct GPU accelerators for HPC on Monday. On Tuesday, it has a presentation about an SoC targeting networking hardware. Lastly, and probably the most interesting to us, will be a late Tuesday presentation about AMD Ryzen 6000 series processors (mobile). We saw this Ryzen APU family first unwrapped at CES, and they have only recently started to feature in laptop designs that are shipping. Since this presentation is part of the mobile segment, it could be that there are some more ULV models on the way. The current H-series are 35 to 45W+, and the U-series are 15-28W. Could we see some sub-15W APUs between now and the end of August?
If we had to pick a highlight from Nvidia's upcoming Hot Chips presentations, we would probably jump with both feet onto the Nvidia Grace CPU talk. We reported the 144-core Nvidia Grace CPU in quite some depth last month. However, Nvidia has promised more architectural insight later, and the Hot Chips 34 presentation looks like the right place at the right time.
The Tesla Dojo features two separate presentations at Hot Chips 34. Tesla decided to split the presentations regarding this exascale computer into an architectural segment, and a super compute scaling ML training segment, led by respective experts from the company. In our most recent report on the Tesla Dojo, we talked about this 7nm and 50 billion transistor chip's custom ASIC-for-AI design and performance potential. We are looking forward to an official update on the hardware, how it will be implemented, and more.