Machines without a GPU can still fine-tune: dragon_bundle() packages a
run as a zip, dragon_remote() opens one of these providers with the
dragon-farm notebook, and dragon_import() brings the trained adapter
back. Google Colab and Kaggle have free GPU tiers. Lightning AI gives free
monthly credits. RunPod is pay per hour.
Value
A data frame with one row per provider: provider (the id to pass
to dragon_remote()), name, cost, and opens (what the link opens).
Examples
dragon_remote_providers()
#> provider name cost
#> 1 colab Google Colab Free tier with a T4; paid tiers for longer sessions
#> 2 kaggle Kaggle Free: about 30 GPU hours a week (T4 x2 or P100)
#> 3 lightning Lightning AI Free monthly credits, then pay as you go
#> 4 runpod RunPod Pay per hour, wide choice of GPUs
#> opens
#> 1 The dragon-farm notebook, directly
#> 2 The dragon-farm notebook, directly
#> 3 The dragon-farm repository in a new Studio
#> 4 The RunPod console