Arm Under Attack in AI
A dozen rivals emerge, some with big wins
4/10/2018 00:01 AM EDT
SAN JOSE, Calif. — Nearly a dozen processor cores for accelerating machine-learning jobs on clients are racing for spots in SoCs, with some already designed into smartphones. They aim to get a time-to-market advantage over processor-IP giant Arm that is expected to announce its own soon.
The competition shows that much of the action in machine-learning silicon is shifting to low-power client blocks, according to market watcher Linley Gwennap. However, a race among high-performance chips for the data center is still in its early stages, he told EE Times in a preview of his April 11 keynote for the Linley Processor Conference.
“Arm has dominated the IP landscape for CPUs and taken over for GPUs as well, but this AI engine creates a whole new market for cores, and other companies are getting a head start,” said Gwennap.
The new players getting traction include:
To read the full article, click here
Related Semiconductor IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
- RISC-V Debug & Trace IP
Related News
- Armv9 and CSS Royalties Drive Growth in $1bn Arm Q1 Earnings
- Qualcomm Achieves Complete Victory Over Arm in Litigation Challenging Licensing Agreements
- Andes Technology Hosts First-Ever RISC-V CON in Munich, Powering Next-Gen AI and Automotive Solutions
- Credo Joins Arm Total Design to Accelerate the Development of Custom Silicon for AI Data Centers
Latest News
- Nuclei Announces Strategic Global Expansion to Accelerate RISC-V Adoption in 2026
- Semidynamics Unveils 3nm AI Inference Silicon and Full-Stack Systems
- Andes Technology Launches RISC-V Now! — A Global Conference Series Focused on Commercial, Production-Scale RISC-V
- Rambus Reports Fourth Quarter and Fiscal Year 2025 Financial Results
- IntoPIX And Cobalt Digital Enable Scalable, Low-Latency IPMX Video With JPEG XS TDC At ISE 2026