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
*Company Email Required for Registration*
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
Modern ASIC, SoC, CPU, and GPU development depends on verification processes that detect subtle functional defects before tapeout. SystemVerilog Assertions (SVA) are particularly important because they encode temporal design intent: how signals, states, and transactions must behave across clock cycles. Unlike conventional… Read More
Hot Chips 2026, formally the thirty-eighth Symposium on High Performance Chips, arrives at Stanford’s Memorial Auditorium from August 23 through 25 with a program that captures a decisive shift in computer architecture. Peak arithmetic throughput remains important, but the conference is increasingly about system balance:… Read More
This late summer, Quadric is taking its vision for programmable, on-device AI to three of the industry’s most influential gatherings. From advanced processor design at HotChips to scalable deployment at the AI Infra Summit and physical AI at Embedded World North America, each stop offers a different opportunity to see how the… Read More
Most crypto forty-niners died broke in a warehouse full of their computing rigs. Former Ethereum miner CoreWeave took its gold to Wall Street. On June 22, 2026, it joined the Nasdaq-100 — fifteen months after its IPO, nine years after its founders assembled their first GPU rig in a New Jersey office.
The people who built the physical… Read More
Google Cloud offers powerful compute, networking and GPU/TPUs to run your workloads. But how to feed the beast? EDA workloads require a lot of data and scalable storage plays is that data hub which keeps your workloads going. Google worked with NetApp – a premier on-premises choice for EDA shared storage – to build … Read More
As semiconductor manufacturing pushes toward advanced nodes with tighter feature sizes, the optical proximity correction (OPC) workflow is adopting curvilinear masks to achieve the larger process windows that traditional Manhattan geometries cannot deliver.
Traditional Manhattan masks constrain shapes to vertical … Read More
For years, advanced packaging has been described mostly in planar terms: chiplets placed side by side, connected through interposers, bridges, redistribution layers, substrates, and short-reach electrical links. This view remains important. It supports today’s GPU, HBM, chiplet, and 2.5D integration architectures.… Read More
The rapid growth of AI applications in edge devices has created a strong demand for specialized hardware capable of performing high-performance neural network inference under strict power and latency constraints. Traditional CPUs and GPUs often struggle to meet the efficiency requirements of embedded and mobile systems.… Read More
