Arm Under Attack in AI
A dozen rivals emerge, some with big wins
EE Times
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
- DSP-Based 112G SerDes
- XTAL oscillator in TSMC-7nm
- GPU
- V-by-One Verification IP
- AI model compression IP
Related News
- Siemens accelerates integrated circuit design and verification with agentic AI in Questa One
- Nvidia Sells Arm Shares, Signals Realignment of AI Portfolio
- AI Demand Drives 4Q25 Global Top 10 Foundries Revenue Up 2.6% QoQ; Samsung Gains Share and Tower Moves Up in Rankings
- SEMIFIVE Pulls Ahead in AI ASIC Market, Expanding Lead with Successive NPU Project Wins
Latest News
- Arteris Deployed by Speedata for Data Center Compute
- Siemens to acquire Defacto Technologies to complement its EDA portfolio with automated SoC design creation
- Mach42 Completes £7M Funding Round, Led by IP Group With Investment From BGF and Foresight Group
- ELECTRA IC Unveils Comprehensive IP Core Suite for Next-Generation Post-Quantum Cryptography
- CAST Enhances Serial Memory Controller IP with Encryption, Low-Power, and ASIL-Ready Options