Chiplet interoperability and breakthroughs in AI
By Francisco Soca, Arm and Jonathon Evans, Nvidia
Chiplets offer greater system composability and performance scaling- making them attractive for AI and accelerated computing. To be adopted at scale- chiplets need to be interoperable. Interoperability is achieved through the standardization of chiplet interfaces and protocols.
AMBA CHI C2C is an extension to the widely adopted on-chip CHI protocol for connecting chip(let)-to-chip(let). This presentation shows how AMBA CHI C2C can be used to coherently and securely connect Arm-based systems-on-chip to accelerators over C2C to enable breakthroughs in AI and accelerated computing.Arm and NVIDIA have been collaborating to lay the foundations of this extension. As part of this presentation- NVIDIA will discuss the value of a native AMBA CHI interface as a chiplet interface for accelerator attach.
Related Chiplet
- FlexGen Multi-Die Smart Network-on-Chip (NoC) IP
- Ncore Multi-Die Interconnect IP
- Integrated voltage regulator (IVR) chiplet
- High-performance connectivity chiplets
- eFPGA Chiplet
Related Videos
- Balaji Baktha, Paving the Road Ahead RISC V and Chiplet Technologies in Modern Automotive & More
- Challenges and Opportunities in Chiplet Standardization
- Advancing AI: The Role of HBM in the Chiplet Ecosystem Era
- From OCP 2025: Arm’s Chiplet Push and the AI Ecosystem Play
Latest Videos
- Accelerating Chiplet SoC Development with Standards-Based Frameworks and Automated Design Flows
- Qualcomm's Tony Pialis on Dragonfly and the Data Movement Wall
- From silos to system: Sujit Sharan on the cultural and technical shift 3D IC demands
- Advancing 3DIC Technologies to Propel AI Innovations
- Building Real Confidence in Chiplet Stacks with Evelyn Landman of proteanTecs