Austin Storms

@austorms

Co-Head, Galaxy Data Centers @galaxyhq | prev. prod + eng @gamdotai | #Bitcoin, Texas, AI, and ERCOT. Disclaimer: hubs.li/Q022Cvpy0

Joined January 2015

907

Austin Storms
@austorms
Aug 2
Water security is quickly becoming infrastructure security.
zerohedge
@zerohedge
Aug 2
Water-System Hacks Hit 7 States This Week, FBI Warns, As Trump Shoots Down Iran Theory zerohedge.com/political/wate…
Austin Storms
@austorms
Jul 9
Agentic model wars cometh.
Mark Zuckerberg
@finkd
Jul 9
(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.
Austin Storms
@austorms
Jul 6
Phase 1 (133 MW critical IT load) is live at our Helios data center campus and generating revenue on schedule and on budget! Execution is the differentiator in this business. Phase 2 (260 MW) is next. The $GLXY team is building big things…
Galaxy
@galaxyhq
Jul 6
Phase I of our Helios data center campus is done. On schedule. On budget. All 133MW of critical IT load now generating full revenue. Phase II is already underway. 260MW more, live in H1 2027. Big things coming. $GLXY
Austin Storms
@austorms
Jun 27
Designed and built a very similar architecture at home ~3 months ago with ollama serving locally on a few Mac Studios and DGX Spark running under my desk. Lots of tinkering happening by engineering-first organizations to rein in $/useful token spend.
Brian Armstrong
@brian_armstrong
Jun 27
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching. Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting
Austin Storms
@austorms
May 10
Any technology that improves the ability to manufacture intelligence more cheaply, predictably, and at scale will likely find a place in the AI infrastructure stack.
Austin Storms
@austorms
May 10
Replying to @stefanvanderlux and @HarveyHut
BESS can improve power quality and lower energy costs for AI token factories in search of maximizing stable, useful tokens per second at the minimum total lifecycle cost per token.