Parallax
@tryParallax
build your own ai cluster. run open models across your machines.
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nvidia going all in on local ai.
here's our take: it shouldn't depend on which chip you bought.
sparks, macs, the 5090 already on your desk, we cluster across all of it and split your favorite model pipeline-parallel so it runs fully private and local.
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glad we could help!
with the agentic adoption soaring, privacy and token cost are already the top concerns for both agent and human users.
that's what parallax's built for.
local ai has picked up fast since openclaw dropped.
with the latest wave of small capable models, more people are running serious workloads on their own hardware.
if you missed this good local ai tutorial from @yacinelearning or want a refresher on how distributed scheduling actually works under the hood, it's worth the rewatch over the weekend!
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some parallax dev lunch break fun:
- a macbook pro, a mac mini, some cables
- zero internet, zero cost
- openclaw running on parallax
no subs. no token burn. nothing leaves the desk.
just local agents vibing.
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