Router
Router on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on router in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around router, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Ramp launches its own AI model router, called Router
Ramp is streamlining access to the AI landscape with Router, a new AI model routing service delivered via API. Router empowers users and businesses to seamlessly leverage and switch between various large language models, optimizing performance and cost. This innovative tool addresses the growing complexity of AI adoption, offering a simplified path to harnessing its power. For those interested in the broader infrastructure supporting this evolution, explore "Early Cerebras investor Adit Singh joins Mayfield as infrastructure partner" for insights into emerging investment trends.

React Router v8: A Deliberately Boring Release with ESM-Only Builds and Default Middleware
React Router v8 arrived on June 17, 2026, prioritizing stability and a streamlined developer experience. This deliberately “boring” release focuses on foundational improvements, most notably an ESM-only build for modern JavaScript tooling and sensible default middleware configurations. React Router v6 and Remix v2 have reached End of Life, prompting developers to migrate or explore alternatives like TanStack Router. For those tracking broader tech shifts, Apple's recent adjustments to EU App Store fees represent a significant change in distribution models.
![SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]](https://preview.redd.it/1457xi9fcqeh1.jpg?width=140&height=90&auto=webp&s=879aad6df9e51a2735d91112d01518ff76ba3cbe)
SkewAdam: A tiered optimizer that cuts MoE state memory by 97% (fits a 6.7B MoE on a 40GB GPU) [R]
Introducing SkewAdam, a novel tiered optimizer designed to dramatically reduce memory consumption in Mixture-of-Experts (MoE) training. Research demonstrates a remarkable 97% reduction in optimizer state memory—allowing a 6.7B MoE model to comfortably fit on a single 40GB GPU. SkewAdam intelligently allocates precision based on parameter behavior, optimizing backbone, expert, and router components. See the full details and code on arXiv and GitHub. For broader context on advancements in AI hardware, explore "What to watch for after Jensen Huang’s Japan visit."