🧠AI & Machine Learning · Content & Media

Arkor

Arkor is a platform that hosts the entire loop for open-weight models: an OpenAI-compatible endpoint, request logs that become training data, managed fine-tuning, and serving for trained adapters. It is currently in alpha and free to use, with paid pricing coming soon.

Arkor
AI PlatformMLOpsGenerative AI

Key facts

What is Arkor?

One platform for hosting, fine-tuning, and serving open-weight models with full control over weights.

Who is Arkor best for?

Developers and teams building with open-weight models

What are its main limitations?

  • Still in alpha, limited availability
  • No published pricing for post-alpha
  • Currently only supports Gemma 4 (open-weight models)

Limitations are based on product materials or editorial synthesis; confirm on the official site.

Key features

  • ✓One-click hosted OpenAI-compatible endpoint with per-deployment API keys
  • ✓Request and response logging for inspection and dataset creation
  • ✓Managed fine-tuning on GPUs with streaming metrics and checkpoint storage
  • ✓Serve trained LoRA adapters on the same endpoint or separate URL
  • ✓Rollback and inspect every checkpoint
  • ✓Roadmap includes subscription pricing for inference, distillation, and confidential computing

Use cases

  • →Swap an OpenAI-compatible endpoint into your existing app without code changes
  • →Use production traffic as training data for fine-tuning
  • →Serve personalized or task-specific LoRA adapters at scale
  • →Iterate on model quality with managed fine-tuning and checkpoint rollback

Pricing

Free (Alpha)

$0

  • · Full platform access during alpha

Free during alpha; paid plans coming soon

Pros

  • +End-to-end platform from hosting to fine-tuning to serving
  • +OpenAI-compatible endpoint simplifies integration
  • +Free to use during alpha
  • +Open-source framework for fine-tuning (TypeScript)

Cons

  • −Still in alpha, limited availability
  • −No published pricing for post-alpha
  • −Currently only supports Gemma 4 (open-weight models)

Positioning

  • Core value: One platform for hosting, fine-tuning, and serving open-weight models with full control over weights.
  • Ideal for: Developers and teams building with open-weight models
  • Product type: Web app (hosted endpoint) and TypeScript SDK

Frequently asked questions

What is Arkor?

Arkor hosts the entire loop for open-weight models: an OpenAI-compatible endpoint, request logs as training data, managed fine-tuning, and serving for trained adapters.

How much does Arkor cost?

Arkor is currently free during alpha; pricing has not been published yet.

Is there an API?

Yes, Arkor provides an OpenAI-compatible endpoint with per-deployment API keys.

Can I fine-tune models with Arkor?

Yes, Arkor offers managed fine-tuning on GPUs with streaming metrics and checkpoint storage.

What models are supported?

Arkor currently supports Gemma 4 and other open-weight models (determined by the open-source framework).

Is Arkor open-source?

The fine-tuning framework is open-source and written in TypeScript.

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