Advanced Computing in the Age of AI|Wednesday, October 28, 2020
  • Subscribe to EnterpriseAI Weekly Updates:  Subscribe by email

Silicon Valley’s must attend event announces two exclusive workshops & sample attendee list 
Sponsored Content by AI Hardware Summit

Hyperscalers, semiconductor companies, device manufacturers and the critical mass of AI hardware start-ups from across the globe, will present their approaches to processing machine learning training and inference workloads in both server and client computing at the AI Hardware Summit, September 17 – 18, 2019 in the Computer History Museum.

Last year’s summit, which sold out, hosted the launch of inference chip start-up Habana Labs, and organizers have guaranteed attendees can expect more product and company launches at this year’s event, defining the next 12 months in the industry.

“It’s a great mix of big companies, start-ups, investors, journalists, I recognized a lot of faces here, I mean this is probably the most concentrated group of relevant people I’ve been to, it’s definitely worth attending.” Mike B. Henry, Founder and CEO, Mythic, AI Hardware Summit 2018

This year there’s also a new twist, with the addition of two exclusive workshops:

17 September | Day One | A Standards-based Approach to Scaling AI Datacenter Capacity and Performance

Eitan Medina, CBO, Habana Labs

This workshop will provide a maximum of 35 attendees with a deep-dive on the foundational architecture and technologies that Habana Labs employs in its recently announced GAUDI AI Training Processor to efficiently scale AI Datacenter capacity and performance.

Eitan will provide specifics on how systems can be built from a small-scale server to medium and largescale systems to address both data parallel and model parallel computing requirements.

Attendees will be shown a private demonstration of the company’s AI Training Processor performance and see how it scales versus legacy GPU solutions.

18 September | Day Two | Accelerating Adoption of Edge AI

Moe Tanabian, GM, Intelligent Devices, Microsoft

Chandu Thekkath, Distinguished Engineer, Microsoft

AI on edge devices is entering the “peak of inflated expectations.” Despite the potential for unprecedented gains in many areas, the complexity and bespoke nature of edge AI implementations means that this technology has the potential for a long stay in the “trough of disillusionment”, with only the most mature companies, with the most to invest, reaping the full benefits.

Based on our experience using Azure AI perception capabilities to build HoloLens 2 and Azure Kinect DK, and partnering with many early adopted of edge AI across industries and scenarios, Microsoft is investigating strategies, technologies and tools to accelerate the adoption/return on investment for developing and deploying AI solutions on edge devices.

In this application-only workshop, Moe Tanabian, GM of Azure Devices and Chandu Thekkath, Distinguished Engineer of AI Platforms, will discuss where Microsoft see the most significant opportunities, how the hardware ecosystem and developer community have a role to play in accelerating adoption.

Attendees will get the opportunity to provide feedback on early stage product strategy from Microsoft.

Please note; those attending this workshop require signing an NDA prior the conference start.

“The reason I decided to attend is because this is really a one of a kind event…this was a great opportunity to learn more about what’s happening in the industry and also talk to everyone about our point of view…this is a great opportunity to meet everyone from the Intels and NVIDIAs of the world, to the next generation of start-ups like Cerebras’ and Graphcore and seeing who are the next generation of these companies that we should be looking out for.” - Rashmi Gopinath, Partner, M12 (Microsoft Ventures), AI Hardware Summit 2018

This year’s AI Hardware Summit takes place in only 4 weeks’ time and a sample attendee list has been released including; Intel AI, Synopsys, SambaNova Systems, Flex Logix, Groq, Horizon Robotics, Qualcomm, Ansys, Vicor, Rambus, Kalray, Mentor – A Siemens Business, GrAI Matter Labs, Lightelligence, eSilicon, NGD Systems, Cadence, Lambda, Mythic, Real Intent, Samtec and more.

This year, the summit can accommodate 500 attendees and there’s fewer than 250 remaining. As headline media partner for the event, we’re delighted to offer Enterprise AI readers a 10% discount to attend. Simply quote ENTAI10 when booking online.

To find out more, and see the full speaker line-up, visit

Press contact for AI Hardware Summit:

Stephanie Wright
Head of Marketing, Kisaco Research
[email protected]
+44 (0)203 897 6804

Add a Comment

Do NOT follow this link or you will be banned from the site!
Share This