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

Fork of Text Generation Inference.

Published on 2023.08.09 by Nikola Borisov
Fork of Text Generation Inference.

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.

Forking the project

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.

License changes mid-flight

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.

Related articles
Western Open-Weight Models: Beam and Le ChonkWestern Open-Weight Models: Beam and Le Chonk<p>Reflection AI and Mistral shipped open-weight flagships a day apart in the first week of October, and both say they compare to the best China has to offer.&nbsp; Reflection&#8217;s Beam is a 501B-parameter workhorse that claims GLM-5.2-level reasoning, a bar Z.ai has already raised with GLM-5.3, on a fraction of the inference compute. Mistral&#8217;s Large [&hellip;]</p>
Qwen3.8-27B Pricing: DeepInfra vs Alibaba APIQwen3.8-27B Pricing: DeepInfra vs Alibaba API<p>Qwen3.8-27B is Alibaba&#8217;s 27B open-weight reasoning model, released August 14, 2026 under Apache 2.0. It ships with a large context window, multimodal input, and API availability across eight providers. Pricing varies sharply by host: Alibaba&#8217;s first-party rate runs over 3x DeepInfra&#8217;s for the same weights. Context window figures differ slightly by source. Artificial Analysis reports [&hellip;]</p>
GLM-5.3 API Providers: Speed, Latency & CostGLM-5.3 API Providers: Speed, Latency & Cost<p>GLM-5.3 API Review Summary GLM-5.3 is Z AI’s flagship coding and agentic reasoning model, released on August 14, 2026, and available on DeepInfra since launch. The model is built on the same ~753-billion parameter Mixture of Experts (MoE) base architecture as GLM-5.2, with all performance gains derived entirely from scaled post-training rather than architectural changes. [&hellip;]</p>