Computer Architecture in an AI-Accelerated World with Jim Ledin
Jim Ledin, CEO of Ledin Engineering, released the third edition of his book Modern Computer Architecture and Organization, adding extensive coverage of AI‑centric hardware. He argues that the prevailing GPU‑only view of AI acceleration is incomplete, highlighting the rise of TPUs, high‑bandwidth memory, and domain‑specific accelerators. Ledin stresses that software engineers who ignore memory hierarchy, cache behavior, and data‑movement costs incur performance penalties and higher cloud bills. The interview also details practical examples—such as cache‑limited web servers—and offers guidance on balancing abstraction with hardware‑aware coding.
Knowledge Graphs, GraphRAG, and Real-Time AI in Production with David Knickerbocker
David Knickerbocker explains how his Verdant Eye system builds a continuously refreshed knowledge graph, updating every minute to deliver real‑time answers. He argues that treating knowledge as claims rather than static facts, anchoring queries to graph nodes, and deliberately forgetting...
Small Language Models and the Future of Production AI with Karun Thankachan
Karun Thankachan, a senior scientist at Walmart, discussed the growing role of small language models (SLMs) for cost‑effective, task‑specific AI in retail. He introduced ReasonLite, an open‑source library that consolidates chain‑of‑thought distillation, program‑aided reasoning, self‑consistency, and token‑budget controls into a...
Agentic AI Is Redefining Edge Infrastructure
Agentic AI is moving autonomous decision‑making from centralized clouds to distributed edge locations, demanding a new infrastructure paradigm. Cisco’s VP Lee Peterson argues that traditional WAN models are insufficient; instead, the network must act as a low‑latency, resilient fabric that...