In this episode, Sally talks to Manoj Koul about how workload-first, programmable platforms are reshaping compute for Physical AI.

On this episode of SystemChat, we hear from our guest Cheol Kim, Director, Business Development at MIPS, and we discuss systems of Software-first Development.

I have spent much of my career at the point at which processors, software, and automotive systems converge. Today, that intersection matters more than ever.

Consolidating hardware into fewer, more capable chips looks like an unambiguous win — until the complexity those separate components used to handle resurfaces in the software binding everything back together. In this episode, Sam Grove, Head of Software and Tools Business at MIPS, examines why hardware and software teams can’t keep building in sequence, and

At the ETElectronicsWorld Design & Verification Summit 2026 in Bengaluru, semiconductor leaders said the next wave of AI compute will move towards workload-specific silicon, edge intelligence, advanced packaging and AI-assisted design, while power, memory movement and system-level skills emerge as critical constraints.

MIPS, by GlobalFoundries, is an early pioneer of the original reduced instruction set revolution and is now focused on enabling Physical AI systems with the modern, open RISC-V instruction set architecture.

Artificial intelligence is reshaping computing by moving intelligence from centralised cloud environments directly into everyday devices. Advances in edge AI, custom silicon and embedded computing are enabling a new generation of intelligent systems that are distributed, context-aware and increasingly autonomous.

Business is booming for semiconductor manufacturers, with AI and data center construction driving unprecedented demand. Explore how U.S. manufacturers are navigating tariffs, power challenges and industrial policy gaps in this Trendline.