Edge AI chiplet uses SemiDynamics RISC-V cores
By Nick Flaherty, eeNews Europe (January 19, 2024)
YorChip is developing a chiplet for edge AI applications using RISC-V cores from Semidynamics in Barcelona.
The edge AI chiplet will use the SemiDynamics Atrevido quad core RISC-V IP and the UCIe standard interface. The four Atrevido 423 cores provide 10 Int8-TOPS per chiplet in a target technology of 12nm and a target die size under 25mm2.
SemiDynamics in Barcelona has developed series of configurable RISC-V vector processors for automotive, robotic, drones and other high-performance edge AI markets. YorChip is a Silicon Valley start-up aiming to developing a complete ecosystem of off the shelf focused on chiplets using proven partner IP and a novel die-to-die technology.
To read the full article, click here
Related Chiplet
- Optical Chiplet
- Reverse Gearbox Chiplet
- FlexGen Multi-Die Smart Network-on-Chip (NoC) IP
- Ncore Multi-Die Interconnect IP
- Integrated voltage regulator (IVR) chiplet
Related News
- YorChip, Inc. announces its first Chiplet for Edge AI applications with IP licensed from Semidynamics, the leader in RISC-V IP based in Barcelona
- Ambiq and Bravechip Cut Smart Ring Costs by 85% with New Edge AI Chiplet
- EdgeCortix Unveils RAIDEN, a Scalable, Energy-Efficient AI Chiplet Platform Purpose-Built for Physical AI
- EDGE and Lockheed Martin to Collaborate on Advanced Chiplet Design Capabilities
Latest News
- Staera Semiconductor Emerges from Stealth with US$4.6 Million to Build Light into the Chip and Break AI's Data Bottleneck
- Vertical Compute expands partnership with imec to accelerate commercial manufacturing of Vertically Integrated Memory (VIM)
- Imec advances Europe's silicon interposer technology capabilities through NanoIC pilot line, paving the way for open chiplet design
- SCHMID Group Secures Key Wet-Process Equipment Order for South Asia’s First Glass Core Substrate Manufacturing Facility
- EV Group Helps Accelerate Qubit Scaling for Quantum Computing Through Advanced Packaging Expertise