Pip install inference, open source computer vision deployment
Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…
Pip install inference, open source computer vision deployment launched on August 23, 2023 with 71 votes, #1,421 of 4,347 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Inference is an open source computer vision deployment tool that simplifies running vision models on various hardware through a standardized HTTP-based interface. Developers can deploy models without writing hardware-specific code, eliminating tedious configuration of dependencies, conflicts, and accelerators like TensorRT. The solution targets developers who need to move from trained models to production inference quickly, reducing deployment time significantly. It supports deployment across different devices and hardware platforms.
written from the facts on this page · September 2026
From the sources
Turn any computer or edge device into a command center for your computer vision projects. - roboflow/inference
In the maker’s words, at launch
Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open…
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