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Velo Workspaces
Local AI inference and disposable QA environments on Mac
Velo Workspaces runs isolated Linux and macOS environments on Apple Silicon, built for AI researchers, QA engineers, DevOps professionals, and software engineers — local AI inference with AI Bridge, and disposable workspaces cloned from base images in seconds.
Hey Product Hunt! 👋 I'm Gaoliang, maker of Velo Workspaces.
I kept hitting the same wall: I wanted to test something destructive — a risky config change, an untrusted script, a fresh install — without touching my main Mac, and every VM tool I tried felt like it was built for running "another OS" as a novelty, not for actual engineering work.
So I built Velo Workspaces around two things I actually needed:
🧠 AI Bridge — run inference on your Mac's own GPU, then reach it from inside a Linux workspace as a plain local endpoint. No API keys, no cloud, no usage costs. In my own benchmarks, throughput inside the workspace was within ~4% of running natively on the host.
🗑️ Disposable Workspaces — clone a fully configured base image in seconds via copy-on-write, run your test or risky command, close it, and it's gone — disk included. No snapshot to remember to delete, no "did I leave something installed last time" doubt.
It's native macOS, built on Apple's own Virtualization framework — no account, no cloud dependency, everything stays on your Mac. One-time purchase, no subscription, no IAP.
Would love your feedback, especially from anyone doing local AI dev or QA work on Apple Silicon. Happy to answer anything about how it works under the hood!
About Velo Workspaces on Product Hunt
“Local AI inference and disposable QA environments on Mac ”
Velo Workspaces was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #58 on the daily leaderboard. Velo Workspaces runs isolated Linux and macOS environments on Apple Silicon, built for AI researchers, QA engineers, DevOps professionals, and software engineers — local AI inference with AI Bridge, and disposable workspaces cloned from base images in seconds.
On the analytics side, Velo Workspaces competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Velo Workspaces performed against the three products that launched closest to it on the same day.
Who hunted Velo Workspaces?
Velo Workspaces was hunted by Gaoliang Luo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Velo Workspaces including community comment highlights and product details, visit the product overview.
Gaoliang Luo