UbuCon Asia 2026 @ COSCUP

Bringing AI to RISC-V: From Edge Devices to Developer-Ready Systems

9 Aug 2026, 15:10

30m

TR211 (NTUST)

Talk Data, AI and ML

Speakers

Martin Chang

Yuning Liang

DeepComputing

Description

As AI workloads continue to expand beyond the cloud, developers are increasingly looking for open, efficient, and flexible platforms to run models at the edge and on personal devices. RISC-V, as an open instruction set architecture, is emerging as a promising foundation for this shift.
In this session, Martin will share practical engineering experiences from building AI-capable RISC-V systems — covering key areas such as CPU–accelerator integration, software stack enablement, and optimization for real-world workloads.
The talk will explore how Linux-based environments can support AI development on RISC-V today, what challenges remain across toolchains and runtimes, and how upstream collaboration is helping accelerate ecosystem maturity.

Biography

Yuning Liang is the Founder and CEO of DeepComputing, focusing on developing innovative technology products based on RISC-V SoMs. From the world's first RISC-V development laptop DC-ROMA to pads, workstations, remote-controlled cars, drones, and more, all are based on RISC-V chips.
The world's first RISC-V laptop, the world's first RISC-V pad capable of making phone calls, and so on, are all Yuning's masterpieces. Yuning's innovation and pioneering spirit in the RISC-V field have enabled him to create several world firsts, leading DeepComputing to gain widespread recognition in the global RISC-V product commercialization field, contributing significantly to the advancement and progress of RISC-V technology.
Yuning's career has taken him from the UK to Switzerland, then to South Korea, and finally to China. He has a strong practical background in embedded systems, platform APIs, and system software. In 2024, he was honored with the "RISC-V Community Contributor Award" and recognized as a "Ubuntu Summit Contributor," further solidifying his influence in the technology sector.

What audience can learn

Attendees will gain insight into how RISC-V is evolving from experimental platforms into developer-ready AI systems, and what this means for the future of open-source AI infrastructure.

Summary

The talk will explore how Linux-based environments can support AI development on RISC-V today, what challenges remain across toolchains and runtimes, and how upstream collaboration is helping accelerate ecosystem maturity.