skynet/README.md

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# skynet
### decentralized compute platform
To launch a worker:
### native install
system dependencies:
- `cuda` 11.8
- `llvm` 10
- `python` 3.10+
- `docker` (for ipfs node)
```
# create and edit config from template
cp skynet.ini.example skynet.ini
# install poetry package manager
curl -sSL https://install.python-poetry.org | python3 -
# install
poetry install
# enable environment
poetry shell
# test you can run this command
skynet --help
# launch ipfs node
skynet run ipfs
# to launch worker
skynet run dgpu
```
### dockerized install
system dependencies:
- `docker` with gpu enabled
```
# pull runtime container
docker pull guilledk/skynet:runtime-cuda
# or build it (takes a bit of time)
./build_docker.sh
# launch simple ipfs node
./launch_ipfs.sh
# run worker
docker run \
-it \
--rm \
--gpus all \
--network host \
--name skynet-worker \
--mount type=bind,source="$(pwd)",target=/root/target \
guilledk/skynet:runtime-cuda \
skynet run dgpu
```