@TheAhmadOsman: You should buy an RTX 3090 and learn how to run models locally The elite don’t want you to know this but running local …
Summary
A tweet recommending users buy an RTX 3090 to run AI models locally, claiming it is easy, performant, and affordable.
View Cached Full Text
Cached at: 05/26/26, 12:51 PM
You should buy an RTX 3090 and learn how to run models locally
The elite don’t want you to know this but running local models is hella easy, performant, and cheap nowadays
Similar Articles
@TheAhmadOsman: Gentle reminder that all you need to start with Local AI is: - 2x RTX 3090s (pick up for $700-$900 on r/hardwareswap) -…
A reminder that two RTX 3090s and open-source models like Qwen 3.6 27B or Gemma 4 31B can run powerful local AI agents, comparable to Opus 4.5, using tools like Claude Code and self-hosted SearXNG.
@TheAhmadOsman: Excellent points for people who run models locally
A tweet highlights excellent points for people who run AI models locally, linking to further information.
@RayFernando1337: https://x.com/RayFernando1337/status/2070621713952579990
A detailed analysis on whether to run AI models locally or via API, covering hardware options like RTX 5090, RTX PRO 6000, and DGX Spark, with emphasis on memory vs bandwidth trade-offs, cost considerations, and privacy needs.
@TheAhmadOsman: DROP EVERYTHING - Why hardware prices, including used RTX 3090s from 2020, are getting more expensive - Whether frontie…
This tweet discusses rising hardware prices, including used RTX 3090s, and argues that frontier intelligence is not limited to data centers, making a case for being bullish on local/open-source AI.
Best hardware for running local AI agents in 2026.
A review of the best hardware for running local AI agents, recommending the used RTX 3090 as the best value for most people.