Description
Nebius Token Factory is part of Nebius AI Cloud, the developer-facing arm of Nebius, a publicly traded (NBIS) AI infrastructure company. It serves open-source language models through an OpenAI-compatible API, so existing code written against OpenAI's client libraries can point at Token Factory with minimal changes. Nebius describes the product as covering real-time and batch inference, dedicated endpoints, and production SLAs, positioning it for workloads that go beyond early experimentation.
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The service covers both quick starts and production workloads. Developers can call the API directly, test prompts in a playground, or wire it into existing tooling through supported integrations such as LiteLLM and Aisuite, frameworks like LlamaIndex and LangChain, and agent libraries including Agno and CrewAI. For teams past the prototype stage, Token Factory adds dedicated endpoints, autoscaling with cache-aware routing, and batch inference for processing large volumes of requests outside real-time constraints.
Beyond serving pretrained models as-is, Token Factory supports post-training and customization: teams can fine-tune open models on their own data and deploy the resulting custom models through the same infrastructure. Nebius backs this with technical documentation and blog posts covering architecture topics such as why large mixture-of-experts models strain latency budgets, how speculative decoding changes production serving, and how routing design affects the difference between scaling and stalling under load.
Token Factory is aimed at developers and AI teams building on open models rather than closed, proprietary APIs. It fits alongside Nebius's broader AI Cloud, which offers GPU virtual machines and clusters for teams that want to train or run their own custom stacks instead of using managed inference. Nebius also runs a Builder Program offering credits and support, cookbooks with runnable examples, community office hours, and a Discord for people building on the platform, plus YouTube playlists that walk through Token Factory's architecture and community projects built on top of it.
Specific pricing for Token Factory inference is not published on the page itself; Nebius's broader AI Cloud pricing is usage-based and covers GPU instances used for training and hosting separately from Token Factory's managed inference.
- CategoryMLOps & Model Deployment
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Nebius Token Factory's Core Features
OpenAI-compatible API for serving open-source models
Real-time inference for interactive applications
Batch inference for high-volume, non-interactive workloads
Dedicated endpoints with autoscaling and cache-aware routing
Post-training and fine-tuning support for customizing open models
Integrations with LiteLLM, Aisuite, LlamaIndex, and LangChain
Agent framework support via Agno, CrewAI, and Pydantic
Interactive playground for testing models before integration
How to use Nebius Token Factory?
Sign up: create a Token Factory account to get API access
Get an API key: generate credentials from the Token Factory dashboard
Test in the playground: try prompts and compare open models before writing code
Call the API: point existing OpenAI-compatible client code at the Token Factory endpoint
Scale up: move to dedicated endpoints or batch inference as request volume grows
Customize: fine-tune a model on your own data using the post-training tools
Nebius Token Factory's Use Cases
- Prototyping with open models
- Production inference at scale
- Batch data processing
- Custom model deployment
