Most teams don't need to train a model. They need to fine-tune one.

Training a foundation model from scratch is a huge undertaking that few organizations need. Starting from an existing model and adapting it to your task or domain typically takes far less compute and data.

That makes it practical to rent what a fine-tuning run requires, for as long as it takes, and no more.

Start from what exists. Spend compute on what's yours.

Find the right GPU →https://t.co/7aaBSZOBOJ