Microsoft plans to announce its self‑developed AI processor, codenamed Athena, at the Ignite developer conference in mid‑November, aiming to reduce reliance on Nvidia GPUs and strengthen its AI services such as Azure AI, Bing Chat, and Copilot.
Microsoft plans to launch its first AI‑specific chip, codenamed Athena, at the upcoming Ignite conference, aiming to compete with Nvidia's H100 GPU, reduce reliance on Nvidia, and provide Azure and other cloud customers with a home‑grown AI accelerator for data‑center workloads.
This article recounts the four‑month redesign of JD.com’s homepage, detailing the migration from jQuery + SeaJS to the Nerv framework, the introduction of the Athena engineering platform, performance and experience optimizations such as code splitting, lazy loading, IE8 compatibility, and the monitoring and automation practices that ensure stability and scalability.
This article details how JD.com rebuilt its 2016 homepage using the Athena front‑end engineering suite, covering overall architecture, unified development workflow, performance and experience optimizations, reliability mechanisms, data‑driven monitoring, and future directions such as static pre‑loading and architectural upgrades.
This article details a practical approach to constructing a large‑scale documentation platform using Athena’s front‑end tooling, component‑based EJS templates, and a three‑state fixed navigation system, while also discussing the pitfalls of over‑modularization and alternative conversion methods.
