DigestAI news desk

Cut through the AI noise.

Hardware & Compute9 min read

Defeating NVIDIA? The story of how I built a Strata AI server with unpopular Radeon GPUs and had it build a 3D Minecraft game automatically for 140 yen in elect

The build cost between 280,000 and 320,000 yen and consumed only 140 yen in electricity over a 10‑hour autonomous run.

1 source

Key points

  • 10‑hour autonomous run produced 688,469 tokens for 140 yen electricity
  • Strata engine enables AMD GPUs to match or exceed NVIDIA performance with 196,608‑token context

During the run, the autonomous coding agent Hermes Agent generated 688,469 tokens, completing a 3‑D Minecraft‑style game in a browser. The system achieved 75 to 80+ tokens per second at full power and 35–54 tok/s while running VRChat simultaneously.

The article compares the cost of this local setup to cloud APIs: Claude Sonnet 5.5 with cache usage costs about 2,100 yen, Claude Opus 5.5 about 4,250 yen, and GPT‑6 Astra about 10,600 yen, versus 140 yen for local electricity. It highlights that Radeon GPUs can match or exceed NVIDIA performance for large‑scale models when paired with the right software.

Model pages: Claude Sonnet 5.5 → · GPT-6.1 Sol → · Claude Opus 5.5 →

The story so far

4 episodes →
  1. Defeating NVIDIA? The story of how I built a Strata AI server with unpopular Radeon GPUs and had it build a 3D Minecraft game automatically for 140 yen in electthis story
Full story from note.com · by おぞ · via Search: NVIDIAOpen source ↗

Defeating NVIDIA? The story of how I built a Strata AI server with unpopular Radeon GPUs and had it build a 3D Minecraft game automatically for 140 yen in electricity

note.com · 2 November 2026

Loading the full article…

This text was published by note.com and written by おぞ. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

Comments

via GitHub Discussions

More in Hardware & Compute

All →

Related stories