Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...

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 ...

LOCAL (single hive, no federation): 12.1% FEDERATED (5-hive tree, HiveGraph): 49.5% (+37.4pp over local) AZURE PG (centralized baseline): 96.0% (+46.5pp over federated) Federation adds +37.4pp through ...

There came a point when Newton Asare realized AI agents weren’t just tools anymore. “They were operating more like teammates,” he told TechCrunch. The realization crystallized when Asare and Kiran Das ...

Anyone who's been around children can attest that they have certain behaviors that would be intolerable in adults. Of course, the tragedy is that some so-called adults still retain the need to ...

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MLX enables efficient implementation of tensor parallelism *(TP)* through its implementation of distributed layers. In this example we will explore what these layers are and create a small inference ...

Over the past couple of years, we’ve watched AI go from novelty to utility. Chatbots became copilots, copilots became workflows, and workflows are now inching toward something bigger: Agentic systems ...

Abstract: Memory disaggregation has become a research trend in data centers. Existing studies fall into two paths: Network-based logical memory disaggregation (LMD) and Compute Express Link ...