India Startup Preps RISC-V, AI Cores
Berkeley-born ISA expands footprint
Rick Merritt, EETimes
8/7/2018 00:01 AM EDT
SAN JOSE, Calif. — A startup in India announced ambitious plans to design and license RISC-V-based processor cores as well as deep-learning accelerators and SoC design tools. InCore Semiconductors will make its first cores available before the end of the year.
The effort marks a small but significant addition to the RISC-V ecosystem. It shows that the initiative is gaining global interest for its open-source instruction set architecture as an alternative to offerings from Arm and other traditional suppliers.
InCore spun out of the Shakti processor research team at IIT-Madras, leveraging research in machine learning at its Robert Bosch AI Centre. So far, it is funding itself with revenues from providing commercial support for Shakti cores, according to G. S. Madhusudan, chief executive of InCore and a principal scientist at IIT-Madras.
To read the full article, click here
Related Semiconductor IP
- RISC-V Debug & Trace IP
- RISC-V IOPMP IP
- Gen#2 of 64-bit RISC-V core with out-of-order pipeline based complex
- 64-bit RISC-V core with in-order single issue pipeline. Tiny Linux-capable processor for IoT applications.
- Multi-core capable RISC-V processor with vector extensions
Related News
- Axelera AI and Andes Technology Partner to Power Next-Generation “Europa” AI Platform with High-Performance RISC-V AX65 Cores
- Axiomise Partners With Bluespec to Verify Its RISC-V Cores
- ChipSync and Cortus Join Forces to Offer Tailored RISC-V Automotive Solutions in India
- India Paves Dual RISC-V Tracks with C-DAC and Startup Silicon
Latest News
- StarFive Launches Server-Class RISC-V IP to Accelerate Its Strategic Expansion into AI Computing Infrastructure
- Silvaco Announces Partnership with Dassault Systèmes to Advance First-Time-Right Semiconductor Manufacturing
- Socionext Broadens SoC Roadmap with Intel 18A-P Process Technology
- BrainChip and Neuromorphyx Announce an AKD1500 Embedded Developer Board, Bringing Neuromorphic AI to the Embedded Engineering Community
- M31 Reports Nearly Fourfold Growth in Advanced-Node Royalties as Long-Term Investments Begin to Bear Fruit