Running AI models efficiently at the edge is about more than hardware TOPS. In this session, we’ll walk through the end-to-end process of porting, analysing and optimising modern AI models for edge GPUs, using Qwen 3.5 as a practical example. Learn how to take a model from framework to deployment, identify performance bottlenecks,… Read More
Featured Speaker:
- Kant Deshpande, Architect, Technical Product Management, Synopsys
As AI/ML clusters scale toward 800G, 1.6T, and beyond, the optical DSP/retimer functions inside conventional transceivers (FRO) are becoming a significant bottleneck — adding power, latency, and cost to every link at a time when interconnects… Read More
Broadcom’s fiscal third-quarter 2026 results show how artificial-intelligence infrastructure is shifting from general-purpose acceleration toward customized compute and large-scale networking. The company reported AI semiconductor revenue of $16.7 billion, up 221% year over year and 54% sequentially. That expansion… Read More
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ABSTRACT
Neural rendering. Offloading overloaded NPUs. Protection against evolving AI models. Developer-friendly programming. Reduced system complexity. There are many reasons why edge AI systems benefit from a GPU that delivers fast, efficient and fully programmable AI acceleration.… Read More
Daniel is joined by Mark Ren, founder and CEO of Agentrys. Mark has 26 years of EDA and AI R&D experience spanning IBM Research and NVIDIA Research, driving design automation innovations that power modern chip design. He received the IBM Corporate Award for contributions to the design closure for high-performance microprocessors.… Read More
Every chip ends its journey as a GDSII file — millions of polygons handed to the foundry. But hidden inside today’s layouts is a new kind of intelligence. AI is quietly reshaping physical design: guiding floorplanning and placement, predicting congestion and timing before a single wire is routed, and autonomously tuning… Read More
Engineering teams are dealing with increasing system complexity, stricter integration requirements and the shift toward software-defined products. Generative AI is emerging as a valuable capability, but it is not sufficient on its own.
To manage complexity and convergence across software and hardware, organizations need… Read More
