







idk who needs to hear this but my relatively technical job did the cost:benefit on hosting our own llms and it was a completely raw deal. the cost from service providers assumes optimal scheduling in a way it would be prohibitively difficult for us to achieve
Aug 21, 2025 at 3:34 PM
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I don't pay for ChatGPT, Perplexity, Gemini, or Claude – I stick to my self-hosted LLMs instead
There's no point in relying on AI tools when my local LLMs can handle everything

Featherless - Serverless LLM Hosting
Freedom to reliably deploy any open model effortlessly.

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What It Costs to Run Let's Encrypt
Today we’d like to explain what it costs to run Let’s Encrypt. We’re doing this because we strive to be a transparent organization, we want people to have some context for their contributions to the project, and because it’s interesting. Let’s Encrypt will require about $2.9M USD to operate in 2017. We believe this is an incredible value for a secure and reliable service that is capable of issuing certificates globally, to every server on the Web free of charge.

A Full-Network Relay for $34 a Month | bryan newbold
This is an update to a Summer 2024 blog post. At the time, atproto relays required a cache of the full network on local disk to validate data structures. With the Sync v1.1 updates, relays don't need all that disk I/O. What impact does that have on hosting setup and operating costs? Turns out the d...
distil labs – Cut LLM Costs by 80% with Custom SLMs
Your LLM costs are eating your product margins. distil labs trains a specialized model layer on your workload and serves it behind one OpenAI-compatible endpoint.

How I Host 100,000 Free Minecraft Servers!
something that has come up fairly recently with LLMs - for coding, specifically - is that it’s become a lot easier to burn stupefying amounts of tokens on stuff very fast, with agents running 24/7 or managing more agents (see: Yegge’s Gas Town) even with low inference costs that adds up in a hurry
Jesse Felder
‘While some cling to the promise of an AI “revolution,” the cost of adoption is proving a stubborn bottleneck. These developments also suggest that the economics of replacing human labor with AI may be more complicated than some early forecasts originally implied.’ fortune.com/2026/05/22/microsoft-ai-cost-…