Update the doc with Environment Testing

Author: zRzRzRzRzRzRzR

docs/01-Intro.md

@@ -16,7 +16,15 @@ It provides a unified interface for various AI tasks including text-to-image, te
 
 Please refer to the [Model Card](./05-Model%20Card.mdx) for more details.
 
+## Environment Testing
+
+This repository has been tested in environments with `1×A100` and `8×A100` GPUs, using `CUDA 12.4, Python 3.10.16`.
+
+- Cog series models typically do not support `FP16` precision (Only `CogVideoX-2B` support); GPUs like the `V100` cannot be fine-tuned properly (Will cause `loss=nan` for example). At a minimum, an `A100` or other GPUs supporting `BF16` precision should be used.
+- We have not yet systematically tested the minimum GPU memory requirements for each model. For `LORA(bs=1 with offload)`, a single `A100` GPU is sufficient. For `SFT`, our tests have passed in an `8×A100` environment.
+
 ## Roadmap
 
 - [ ] Add support for CogView4 ControlNet model
-- [ ] Docker Image for easy deployment
+- [ ] Docker Image for easy deployment
+- [ ] Embedding Cache to Reduce GPU Memory Usage