Madelyn Miller, on Mon, Mar 16, 2020 @ 06:30 AM
March 16, 2020 - By Ed Sperling
Ed Sperling of Semiconductor Engineering interviews Kurt Shuler at Arteris IP headquarters in this new video.
Arteris IP’s Kurt Shuler talks about the tradeoffs in AI SoCs, which range from power and performance to flexibility, depending on whether processing elements are highly specific or more general, and the need for more modeling.
Madelyn Miller, on Tue, Dec 17, 2019 @ 11:59 AM
Last month, Canaan Inc. successfully went public with an IPO on Nasdaq. And just last week, our Arteris IP team was invited to attend a grand dinner to celebrate this wonderful achievement. During the dinner, Arteris IP was awarded by Canaan the "Best Ecosystem Partner of 2019 Award" which Rick Sun, our China Sales Manager (second from the right in the above photo) is holding.
The entire Arteris IP team is proud that our efforts have helped contribute to Canaan's success on their AI chip, and we we look forward to more activities with them as they continue their explosive growth. This award is a testament not only to our products and technologies, but also the excellent Arteris IP team members supporting our customers worldwide.
Madelyn Miller, on Mon, Sep 23, 2019 @ 03:36 PM
K. Charles Janac, President and CEO, at Arteris IP, authored this article on what is now defined as a "Monster Chip".
September 19, 2019 - by K. Charles Janac
What are the system designs that require a leap in SoC complexity? It’s not only big datacenter artificial intelligence (AI) chips, but also autonomous vehicles such as cars, trucks and drones; they are self-landing, reusable rockets; they are medical devices carrying out remote diagnostics; and they are connected machine tool controllers supporting smart manufacturing.
These chips are starting to be referred to as “Monster Chips” because of both the size and complexity.
Madelyn Miller, on Fri, Aug 30, 2019 @ 09:34 AM
Kurt Shuler, VP of Marketing at Arteris IP has written this 10-page technical paper titled, "Re-Architecting SoCs for the AI Era".
August 29, 2019 - by Kurt Shuler
Abstract:
The growth of artificial intelligence (AI) demands that semiconductor companies re-architect their system on chip (SoC) designs to provide more scalable levels of performance, flexibility, efficiency, and integration. From the edge to data centers, AI applications require a rethink of memory structures, the numbers and types of heterogeneous processors and hardware accelerators, and careful consideration of how the dataflow is enabled and managed between the various high-performance IP blocks.