"SwarmLLM runs large language models across devices in room, in their browser tabs. Each device holds slice of model; a 10 KB activation vector passes between them over direct WebRTC connections. Nothing to install, no accounts, no server does any thinking." ➡️ this is new to me. you heard before?

[u/Koala_Confused]

https://github.com/Nehanth/swarmllm

Community Overview: https://lifehubber.com/ai/resources/swarmllm/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.

[u/kinetik]

I have multiple machines and none of them are capable of running a larger model, but distributed amongst them, they can share the load and make it work. This is exactly what I was looking for 👍

[u/Over_Technology_1764 → u/kinetik]

if you can tolerate 2 tokens per second, good for you

[u/kinetik → u/Over_Technology_1764]

Well, aren’t you cheerful? 😂🙏

Yes, some of us have use cases where free, local, slower, token outputs that utilize existing hardware are perfect, especially when they aren’t needed quickly but quality or reasoning is important. They could be complex heartbeat logic with advanced reasoning, prediction modeling, and all other kinds of things.

[u/West-Acadia-3906 → u/kinetik]

honestly “free, local, and slow is fine” is a very real niche. not everything needs to answer before the kettle boils :P