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| title: Fabric AI |
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| **Making advanced intelligence efficient, open, and deployable everywhere.** |
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| Fabric AI is a UK research and deployment company building efficient AI models and infrastructure optimised for NVIDIA hardware. |
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| We develop open and commercial foundation models designed to run across the computing spectrum—from edge devices and personal computers to professional workstations and data-centre accelerators. |
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| Our goal is to make advanced AI faster, more accessible, more private, and easier to deploy on the hardware people and organisations already own. |
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| ## What We Build |
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| At Fabric AI, we focus on: |
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| * **Foundation Models** for reasoning, coding, research, productivity, and general-purpose intelligence |
| * **Efficient Small and Medium Models** designed for local and on-device deployment |
| * **NVIDIA-Optimised Models** for Jetson edge platforms, GeForce RTX GPUs, NVIDIA RTX workstations, and NVIDIA data-centre accelerators |
| * **Multimodal AI Systems** capable of understanding text, images, and other forms of information |
| * **AI Agents and Developer Tools** for automation, software development, and real-world workflows |
| * **Inference and Deployment Infrastructure** for running models efficiently across edge, desktop, workstation, and data-centre hardware |
| * **Open-Source Research and Tools** that give developers greater control over how they build and deploy AI |
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| ## Our Mission |
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| Our mission is to make advanced intelligence efficient, open, and deployable everywhere. |
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| We believe powerful AI should not be limited to a small number of closed platforms or expensive computing environments. |
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| Fabric AI is building models and deployment technology that allow developers, researchers, businesses, and individuals to run capable AI systems locally, privately, and efficiently across the NVIDIA computing ecosystem. |
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| ## Open and Commercial AI |
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| Fabric AI combines an open-source ecosystem with commercial products and services. |
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| We plan to release open-weight models, datasets, research, evaluation tools, and deployment software while also developing commercial models, hosted services, enterprise deployments, and custom AI systems. |
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| This approach allows us to support open innovation while building sustainable products for real-world use. |
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| ## Follow Fabric AI |
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| This Hugging Face organisation will be used to publish Fabric AI models, datasets, demos, research experiments, benchmarks, and open-source projects. |
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| **We are building efficient foundation models for every class of NVIDIA computing—from edge devices to data centres.** |
