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foundrylocal.ai
Foundry Local runs AI models on-device using ONNX Runtime (CPU/GPU/NPU) to keep data local, offering an OpenAI-compatible API, Python/JS/C#/Rust SDKs, a model hub, and CLI tools for edge and enterprise deployments.
Use Cases
- 🧩 Local on-device inference to run AI models on device.
- 🧩 Supports ONNX Runtime with CPU, GPU, and NPU hardware acceleration.
- 🧩 OpenAI-compatible API for integration with existing applications and developer workflows.
- 🧩 SDKs for Python, JavaScript, C#, and Rust plus a model hub with documentation and examples.
- 🧩 Installable via package managers and controllable via CLI commands to run models.
- 🟢 Create a privacy-first on-device AI assistant for customer support using Foundry Local's OpenAI-compatible API and Python/JS SDKs, delivering low-latency, hardware-accelerated responses on CPU/GPU/NPU so sensitive conversations never leave the device.
- 🟢 Deploy real-time industrial anomaly detection and predictive maintenance on edge devices with Foundry Local's ONNX Runtime and CLI tools, leveraging the model hub and multi-language SDKs (C#/Rust/Python) for hardware-accelerated, low-latency inference and simplified rollout while keeping telemetry local.
- 🟢 Create an offline-capable document OCR and semantic search solution for regulated enterprises using Foundry Local's model hub and SDKs to run transformer models on-device, enabling privacy-preserving inference, fast local indexing, and seamless integration into existing applications.