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.
Build an OCR-Powered PDF Reader & Summarizer with DeepInfra (Kimi K2)<p>This guide walks you from zero to working: you’ll learn what OCR is (and why PDFs can be tricky), how to turn any PDF—including those with screenshots of tables—into text, and how to let an LLM do the heavy lifting to clean OCR noise, reconstruct tables, and summarize the document. We’ll use DeepInfra’s OpenAI-compatible API […]</p>
Unleashing the Potential of AI for Exceptional Gaming ExperiencesGaming companies are constantly in search of ways to enhance player experiences and achieve
extraordinary outcomes. Recent research indicates that investments in player experience (PX)
can result in substantial returns on investment (ROI). By prioritizing PX and harnessing
the capabilities of AI...
Qwen API Pricing Guide 2026: Max Performance on a Budget<p>If you have been following the AI leaderboards lately, you have likely noticed a new name constantly trading blows with GPT-4o and Claude 3.5 Sonnet: Qwen. Developed by Alibaba Cloud, the Qwen model family (specifically Qwen 2.5 and Qwen 3) has exploded in popularity for one simple reason: unbeatable price-to-performance. In 2025, Qwen is widely […]</p>
© 2026 DeepInfra. All rights reserved.