I liked the comparison between compute and earlier scientific instruments because it makes the access problem concrete. The governance seems just as important as the hardware, though. How would an open compute hub decide which projects deserve scarce capacity without recreating the same institutional gatekeeping it is meant to solve?
Great piece — and a concrete data point from the bench. We're building ARGUS-OS1, an open-source, AI-driven microscope for longevity research in C. elegans, designed to run on commodity compute (edge Jetson-class + a shared local LLM host) instead of cloud GPUs.
The real bottleneck we hit wasn't funding for the instrument — it's that reproducibility and independence scale with compute access. A $5–10K open stack any lab can run locally changes what "independent science" can mean.
What do you see as the cheapest first step to give independent labs real, physically-owned compute — edge hardware pools, local clusters, or shared-host models like ours?
I liked the comparison between compute and earlier scientific instruments because it makes the access problem concrete. The governance seems just as important as the hardware, though. How would an open compute hub decide which projects deserve scarce capacity without recreating the same institutional gatekeeping it is meant to solve?
maybe room for compute specific crowdsourcing and partnerships?
There are cases of this with other concepts but in science they often drop in use after making an initial splash.
Love it!
Literally https://compute.scios.tech =)
https://github.com/jring-o/lettuce-compute
Great piece — and a concrete data point from the bench. We're building ARGUS-OS1, an open-source, AI-driven microscope for longevity research in C. elegans, designed to run on commodity compute (edge Jetson-class + a shared local LLM host) instead of cloud GPUs.
The real bottleneck we hit wasn't funding for the instrument — it's that reproducibility and independence scale with compute access. A $5–10K open stack any lab can run locally changes what "independent science" can mean.
What do you see as the cheapest first step to give independent labs real, physically-owned compute — edge hardware pools, local clusters, or shared-host models like ours?