> ## Documentation Index
> Fetch the complete documentation index at: https://docs.primeintellect.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Shared LoRA Training (Retired)

> The shared multi-tenant LoRA training service has been retired and replaced by on-demand Hosted Training

Shared Hosted Training for LoRA runs has been **retired**. The service trained a LoRA adapter on top of a shared, multi-tenant deployment and billed per token. It no longer accepts new runs, and its `.toml` config format is no longer dispatched.

## What to use instead

[Hosted Training](/hosted-training/getting-started) now runs **on-demand**: your run gets its own GPUs, every parameter is trained, and you're [billed per GPU-hour](/hosted-training/billing). No reserved cluster required.

Configs use the native [prime-rl](/prime-rl/configuration) schema rather than the old flat format — see [Full Fine-Tuning](/hosted-training/full-finetuning) for the config shape and [End-to-End Run](/hosted-training/end-to-end-run) for a walkthrough.

## Your existing adapters

LoRA adapters from completed runs remain downloadable and deployable for inference. See [LoRA Adapter Deployments](/inference/adapter-deployments).

<Note>
  Adapter deployment works today, but is expected to change. We'll update that page before anything does.
</Note>

## LoRA itself isn't going away

Only the hosted shared service was retired. LoRA remains a supported, actively maintained feature of [prime-rl](/prime-rl/advanced#lora-training) for both RL and SFT, which you can run on your own GPUs or on a [Model Factory Cluster](/model-factory/clusters).

<CardGroup cols={2}>
  <Card title="Getting Started" icon="rocket" href="/hosted-training/getting-started">
    Launch an on-demand Hosted Training run.
  </Card>

  <Card title="LoRA in prime-rl" icon="layer-group" href="/prime-rl/advanced#lora-training">
    Train LoRA adapters on your own infrastructure.
  </Card>
</CardGroup>


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