Introducing Autoscaling on Dreamscale!
This is a dev post classified by AGK Intelligence as Hosting & infra (a launch), kept by the Dev Radar because it carries real work, not commentary.
Introducing Autoscaling on Dreamscale! This one's for the model companies waking up to the beta API launch of π, Generalist etc. Now you can deploy your physical AI models to robots across the world on a fast, scalable, cost-efficient platform. Based on how many robots connect to the inference server, we: • Automatically scale up and down GPUs to fit demand • Batch concurrent requests together to amortize cost without sacrificing latency We provide a managed infrastructure for serving real-time cloud inference & fine-tuning for robot AI models!
Posted by Chris Yoo (2k followers) 2 h ago · 24 likes · 638 views · view the original post on X. Kept by the Dev Radar as Hosting & infra.
More dev work like this
- 11월 3일, 래블업이 코스닥시장에 상장했습니다. — @lablupinc
- We built Pando, a new Git backend for our monorepo, to handle more pushes and fetches… — @OpenAIDevs
- Start with read-only. Expand authority only after it’s tested. Our new Kubernetes ebook… — @thenewstack
- Vercel MCP now shows deployments as an interactive card in ChatGPT and other clients… — @vercel_dev
- Meet CIQ at #KubeCon booth #326 to see CIQ Stratum Kubernetes Engine (SKE) manage the… — @CtrlIQ
- Meet CIQ at #KubeCon booth #326 to see CIQ Stratum Kubernetes Engine (SKE) manage the… — @CtrlIQ
- launch videos, but you git push them 🤯 — @shadcnlabs
- We love seeing community leaders like @jeefy and @linsun_unc get a shoutout! Tune in to… — @CloudNativeFdn
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.5k posts from 5k X accounts over the last 21 days, 9.1k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-03 02:32 UTC. Full method.