📚 GPU by Rose — Master page
Help local hardware do the heavy lifting when it makes sense. 🌹
🎯 The job
Help local hardware do the heavy lifting when it makes sense. The aim: less faff, more progress. The boss fight is still checking the result.
⚙️ How the approach works
Start with your goal, follow the documented steps, then inspect the result. You keep the final say on anything consequential.
✨ Product-specific scope
- Inspect available GPU and memory budgets with consent
- Compare supported local models and workloads
- Show time, quality and resource trade-offs
- Keep shared-compute participation strictly opt-in
🧪 Example
Check whether my machine could run the image workload locally and show the expected limits.
🛑 Boundaries and evidence
Recorded status: Research / future capability. Availability labels describe the project record; they do not promise a public release.
Page art is illustration, not proof of a working interface.
✅ How to judge a good result
A good run gets you closer to the goal and changes nothing you did not approve. If the screen disagrees with this guide, stop and check the version.
🌹 Page art is decorative; it does not show the product UI.