Find a training recipe that fits your model and GPUs.
What it does
Recommends a starting training or benchmark recipe and explains how to adapt its parallelism and settings to the user's model and hardware.
When to use it
Use when selecting a starting recipe, comparing library and benchmark configurations, resizing parallelism, or distinguishing convergence changes from execution tuning and benchmark shortcuts.
How to use it
Give it your model, GPU allocation, and training goal; it asks for the relevant details and returns a recipe function, entry-point command, and adjustment advice.
What you provide
- model name and size
- GPU count and type
- training goal
Latest review
What you need · 0
No setup requirements listed.
Access · 0
No additional actions listed.