ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design ...
At the recent Data Center World 2026 in Washington, D.C., one message came through louder than ever: AI infrastructure is ...
On-die telemetry gives architects a path to replace worst-case design margin with measured silicon behavior, improving PPA without compromising resilience. As monitor density and control-loop speed ...
A designer’s choice of I/O connectors and interconnect protocols can be the difference between a massively profitable AI chip and a flop. I/O tradeoffs impact airflow, cooling, rack design, power ...
In Part 1, we looked at the innovations underpinning the Cerebras WSE-3 and why its most significant breakthrough is the elimination of data movement overhead at the architectural ...
Researchers from University of Wisconsin-Madison and AMD Research and Advanced Development published a technical paper titled ...
AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute efficiency gain over 10 years, making collaboration across algorithms, ...
Researchers from Google and University of California, Berkeley published a technical paper titled “Google’s Training ...
Researchers from Seoul National University, Stanford University, and Chinese Academy of Sciences developed an ...
When is a complex chip design ready to be shipped to manufacturing?
NVMe on-controller memory; SSN datapaths; Git-based chip workflows; low-light image enhancement; testing AI networks.
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