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
- Ultra-Low-Power LPDDR3/LPDDR2/DDR3L Combo Subsystem
- Parameterizable compact BCH codec
- 1G BASE-T Ethernet Verification IP
- Network-on-Chip (NoC)
- Microsecond Channel (MSC/MSC-Plus) Controller
Related News
- SEMI Forecasts 69% Growth in Advanced Chipmaking Capacity Through 2028 Due to AI
- Armv9 and CSS Royalties Drive Growth in $1bn Arm Q1 Earnings
- Arteris To Provide FlexGen Smart NoC IP In Next-Generation AMD AI Chiplet Designs
- Edgewater Wireless Initiates Prototyping of AI Subsystem Powered by Arm Technology
Latest News
- ISOLDE Project Demonstrates Advancements in European Open-Source RISC-V for Automotive, Space, and IoT
- ACL Digital and AIM FUTURE Partner to Drive Innovation in Edge AI
- Tenstorrent and PwC Partner to Advance AI Ecosystem Development in Cyprus
- Republic of Cyprus Selects Tenstorrent for AI Innovation
- SiFive and IAR Collaborate to Advance the Automotive Ecosystem and Drive RISC-V Innovation in Automotive Electronics