DeepInfra raises $107M Series B to scale the inference cloud — read the announcement

The text generation inference open source project by huggingface looked like a promising framework for serving large language models (LLM). However, huggingface announced that they will change the license of code with version v1.0.0. While the previous license Apache 2.0 was permissive, the new one is restrictive for our use cases.
We decided to fork the project and continue to maintain it under the Apache 2.0 license. We will continue to contribute to the project and keep it up to date. We will accept pull requests from the community, and we will keep the project truly open source and free to use.
Here is a link to the code: https://github.com/deepinfra/text-generation-inference
We hope that in time a community of other developers and organizations that want to keep this project truly open source will form around it.
Sadly it is becoming more and more common for popular open source projects to change their license after they gain some traction. This happened with MongoDB, Grafana, ElasticSearch, and many others. As a developer, when you decide to adopt a particular open source project, you start investing time and effort into using it. You build your application around it, and you start depending on it. Then, suddenly, the license changes, and you might be forced to find an alternative.
Imagine if meta changes the license of pytorch. Or if tomorrow huggingface decides to change the license of transformers in a similar way to prohibit commercial use.
We believe that the changing of the license of open source projects mid-flight is a unfriendly move towards the community.
If you need any help, just reach out to us on our Discord server.
Enhancing Open-Source LLMs with Function Calling FeatureWe're excited to announce that the Function Calling feature is now available on DeepInfra. We're offering Mistral-7B and Mixtral-8x7B models with this feature. Other models will be available soon.
LLM models are powerful tools for various tasks. However, they're limited in their ability to per...
GLM-5.1 Pricing Guide: API Cost Comparison & Analysis<p>Provider choice for GLM-5.1 is a real economic decision. Across 10 benchmarked API providers, blended pricing runs from $0.74 to $1.70 per 1M tokens, output speed from 33.8 to 175.2 t/s, and the fastest provider is 5.2x quicker than the slowest. For teams deploying at scale, that spread determines whether this model fits a production […]</p>
How Open Source AI Is Closing the Gap<p>At the end of 2023, the gap between open-weight and closed-source AI models was real and easy to describe. If you wanted the best performance on reasoning, language understanding, or multi-step problem solving, you paid for a proprietary API. Open models were useful, capable for many tasks, and dramatically cheaper to run but they were […]</p>
© 2026 DeepInfra. All rights reserved.