Merge pull request #38 from developmentseed/readme-gpus

Update README.md to call out GPU support

README.md

@@ -174,6 +174,10 @@ npm install -g @openaddresses/deploy
 
 
 ### (Potentially) Frequently Asked Questions
+Q: What GPUs was this tested with?
+
+A: The encoder and decoder are tested locally with a 1080 Ti (Pascal) and 3090 (Ampere). In production, the encoder runs on a p3.2xlarge (Tesla V100). Older Kepler GPUs such as K80s are not tested. See [this issue](https://github.com/developmentseed/segment-anything-services/issues/36) for guidance on adapting the docker images to work with Kepler series GPUs.
+
 Q: Why two services?
 
 A: We're exploring cost effective ways to run image encoding in a separate, on-demand way from the CPU decoder. Eventually we'd like to remove the need for the CPU torserve on the backend and run the decoding in the browser.
@@ -182,6 +186,20 @@ Q: Can I contribute or ask questions?
 
 A: This is currently more of a "working in the open" type repo that we'd like to share with others, rather than a maintained project. But feel free to open an issue if you have an idea. Please understand if we don't respond or are slow to respond.
 
+### Contributing and packaging
+
+We use hatch to build the sam-serve package. This wheel file is built from source when building the cpu or gpu docker images. We also use hatch to publish the package to PYPI. We don't have CI CD yet, so if you are interested in contributing, increment the version in your PR and notify the maintainers @rbavery or @rub21 and we will publish the package on PR merge.
+
+The main commands are
+
+`hatch build` to make the whl file
+
+`hatch publish` to publish a release
+
+hatch can be installed with pip or pipx
+
+`pip install hatch`
+
 ## License
 
 The model and code is licensed under the [Apache 2.0 license](LICENSE).