Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...

Enterprise AI programmes are backing up behind the data layer, not the model. Couchbase is making that argument with a ...

Data movement, congestion, and energy efficiency are key determiners of whether compute is usable. Different processors bring various coherency challenges. For example, a cache-coherent NoC for CPUs ...

Conventional memory schemes follow the Pareto Principle, in which approximately maintaining 20% hot data can meet 80% of requests. Large-scale applications, such as generative AI, recommendation ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time. Cachee reduces that to 48 minutes. Everyone pays for faster internet. For ...

This white paper is based on the SemiWiki live webinar, Considerations When Architecting Your Next SoC: NoC, featuring Aion Silicon and Arteris. Watch the full session on YouTube. Modern AI SoCs are ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...

Coherence is a scalable, fault-tolerant, cloud-ready, distributed platform for building grid-based applications and reliably storing data. The product is used at scale, for both compute and raw ...

Many service applications use actors as a programming model for the middle tier, to simplify synchronization, fault-tolerance, and scalability. However, efficient operation of such actors in multiple, ...