ecosystem VS anchor

I have a big data set that I would like to train on, so my thought is that I am going to do distributed training , but I am currently setting up MultiWorkerMirroredStrategy on tensorflow and i find it hard to use even with https://github.com/tensorflow/ecosystem/tree/master/spark/spark-tensorflow-distributor

I am using https://github.com/tensorflow/ecosystem/tree/master/spark/spark-tensorflow-distributor

cargo install --git https://github.com/coral-xyz/anchor avm --locked --force

If you want to roll your own check out the Anchor Framework. There are also deployed contracts that you can use like Gem Farm.

To code in Rust and deploy contracts on solana, I would recommend the anchor framework https://github.com/coral-xyz/anchor

//Rust curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh source $HOME/.cargo/env rustup component add rustfmt //Solana sh -c "$(curl -sSfL https://release.solana.com/v1.9.1/install)" //Yarn npm install -g yarn //Anchor (install wsl in VSC) npm i -g @project-serum/anchor-cli cargo install --git https://github.com/project-serum/anchor --tag v0.24.2 anchor-cli --locked sudo apt-get update && sudo apt-get upgrade && sudo apt-get install -y pkg-config build-essential libudev-dev

cargo install --git https://github.com/project-serum/anchor anchor-cli --locked