zarth.dev
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zarth.dev
@zarath_dev
If not in front of my computer, I am procrastinating.

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling. By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero. Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets. Learn more below ⬇️ nvda.ws/4gAVGoJ

There’s now also a desktop app which collects all the data from Whoop without subscription.










Today I defined my SaaS's core data model. Trying learn on the go - Had some discussions with Chatgpt to find out the minimum rust I need to know to build a basic data model and here is the list for that. I will be reading them from the Rust book and make notes on Notion.











