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.
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.
GLM-4.6 API: Get fast first tokens at the best $/M from Deepinfra's API - Deep Infra<p>GLM-4.6 is a high-capacity, “reasoning”-tuned model that shows up in coding copilots, long-context RAG, and multi-tool agent loops. With this class of workload, provider infrastructure determines perceived speed (first-token time), tail stability, and your unit economics. Using ArtificialAnalysis (AA) provider charts for GLM-4.6 (Reasoning), DeepInfra (FP8) pairs a sub-second Time-to-First-Token (TTFT) (0.51 s) with the […]</p>
Gemma 4 Pricing, Benchmarks & Real-World Cost Analysis<p>Gemma 4 puts a serious open-weight reasoning model into a genuinely competitive provider market. The same Gemma 4 26B A4B model is available across seven API providers, with blended pricing ranging from $0.10 to $0.70 per 1M tokens — real variation that changes production economics. Released April 3, 2026 by Google DeepMind under Apache 2.0, […]</p>
GLM-5.1 on DeepInfra: Z.AI’s Agentic Engineering Model<p>Z.AI’s GLM-5.1 scores 58.4 on SWE-Bench Pro — ahead of both Claude Opus 4.6 (57.3) and GPT-5.4 (57.7) on real-world software engineering tasks. It’s the direct successor to GLM-5, designed for agentic engineering: long-horizon coding tasks, terminal operations, and repository-level work. The core design premise is that previous models, including GLM-5, tend to plateau after […]</p>
© 2026 DeepInfra. All rights reserved.