CapyCTL: control what runs next
CapyCTL: control what runs next is Run more models than your GPU can hold. Deploy, park, wake and switch models on vLLM, SGLang and TensorFold, behind one OpenAI-compatible endpoint.. It is ranked #9827 on the AI Radar, in AI infra & evals, first seen 35 days ago and shared in 1 post (10 views).
CapyCTL: control what runs next Control what runs next. Run more models than your GPU can hold. Deploy, park, wake and switch models on vLLM, SGLang and TensorFold, behind one OpenAI-compatible endpoint. Get started Docs More models than memory Most home GPUs hold one or two models at a time. CapyCTL parks the idle ones, releases their GPU memory, and wakes the one a request asks for, behind the same endpoint. Your apps keep one base URL and pick a model by name; CapyCTL decides what has to move to make room. $ capyctl list deployments NAME STATE READY REVISION HOSTS coding-small ready 1/1 3 gpu-box chat-large ready 1/1 1 workstation…
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CapyCTL: control what runs next in numbers
- Rank on the AI Radar: #9827 of 10410
- Shared in 1 post by 1 account: @edurdias
- 10 views on those posts
- First seen 35 days ago, last shared 35 days ago
- Pricing seen by AGK Intelligence: open source
- Market: AI infra & evals
FAQ
What is CapyCTL: control what runs next?
Run more models than your GPU can hold. Deploy, park, wake and switch models on vLLM, SGLang and TensorFold, behind one OpenAI-compatible endpoint. It was first shared on X 35 days ago and is ranked #9827 on the AI Radar.
Is CapyCTL: control what runs next free?
It is open source.
Who shared CapyCTL: control what runs next?
1 account on X, including @edurdias, in 1 post totalling 10 views.
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. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:05 UTC. Full method.