Segmenting the Machine-Learning Hardware Market
One of the great pleasures in what I do is to work with people who are working with people in some of the hottest design areas today. A second-level indirect to be sure but that gives me the luxury of taking a broad view. A recent discussion I had with Kurt Shuler (VP Marketing at Arteris IP) is in this class. As a conscientious marketing guy, he wants to understand the available market in AI hardware because they have quite a bit of activity in that space – more on that later.
So Kurt put a lot of work into finding every company and product he could that is active in this space, 91 entries in his spreadsheet. This he broke down by company, territory (eg China or US), product, target market (eg vision or speech), implementation (eg FPGA or ASIC), whether the product is used in datacenters or at the edge and whether it is being used for training or inference. I’ll share some interesting observations from the list but not the list itself. Kurt told me he put a lot of work into building this list, so I can’t imagine he be excited about giving it away
To read the full article, click here
Related Blogs
- The AIPC is Reinventing PC Hardware
- Hardware-Assisted Verification: The Real Story Behind Capacity
- NXP's Market Figures Are Wrong, Says Future Horizons CEO
- How Big Is The Analogue/Mixed Signal Market?
Latest Blogs
- Securing The Road Ahead: MACsec Compliant For Automotive Use
- Beyond design automation: How we manage processor IP variants with Codasip Studio
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding