RISC-V in AI and HPC Part 2: Per Aspera Ad Astra?
By Anton Shilov, EETimes (January 13, 2025)
—Second in a three-part series. You can read the first article here
While there are hundreds of companies that adopt Arm technology, not many of them develop their own custom cores. Something similar will likely happen in the case of RISC-V: companies that need a very specific core and control of their firmware and software stack will be more inclined to design a core from scratch.
For example, Seagate and Western Digital use custom RISC-V cores for their storage controllers. Companies that need to run a lot of off-the-shelf software will prefer off-the-shelf cores or even Arm or x86 CPUs.
“Designing your own core can make sense in certain niche/edge cases,” Ian Ferguson, senior director at SiFive, told EE Times. “At a high level, this is driven by whether you need to customize instructions or have a specific design to own the entire software stack for competitive differentiation reasons.”
To read the full article, click here
Related Semiconductor IP
- All-In-One RISC-V NPU
- ISO26262 ASIL-B/D Compliant 32-bit RISC-V Core
- RISC-V CPU IP
- Data Movement Engine - Best in class multi-core high-performance AI-enabled RISC-V Automotive CPU for ADAS, AVs and SDVs
- Low Power RISCV CPU IP
Related News
- RISC-V in AI and HPC Part 1: Per Aspera Ad Astra?
- JEDEC® and Industry Leaders Collaborate to Release JESD270-4 HBM4 Standard: Advancing Bandwidth, Efficiency, and Capacity for AI and HPC
- Cadence Expands Design IP Portfolio Optimized for Intel 18A and Intel 18A-P Technologies, Advancing AI, HPC and Mobility Applications
- S2C and Andes Technology Announce FPGA-Based Prototyping Partnership to Accelerate Advanced RISC-V SoC Development
Latest News
- Jim Keller: ‘Whatever Nvidia Does, We’ll Do The Opposite’
- FlexGen Streamlines NoC Design as AI Demands Grow
- IntoPIX Presents Its New Titanium Software Suite: Empowering AV-Over-IP Workflows With Speed, Quality & Interoperability
- Global Semiconductor Sales Increase 2.5% Month-to-Month in April
- Speedata Raises $44M to Launch First-Ever Chip Designed Specifically for Accelerating Big Data Analytics - Compute's Second Largest Workload