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 ...
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 ...
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, ...
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 ...
Supports higher throughput, reduced cycle time, and lower cost per package, while enabling integration of increasingly ...
As chiplet-based architectures gain traction across high-performance and cost-sensitive semiconductor applications, selecting the appropriate die-to-die interconnect standard has become a critical ...
Researchers from University of Wisconsin-Madison and AMD Research and Advanced Development published a technical paper titled ...
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 ...
NVMe on-controller memory; SSN datapaths; Git-based chip workflows; low-light image enhancement; testing AI networks.
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