GitHub - google-ai-edge/ml-drift: GPU-Accelerated AI/ML Inference
Google AI Edge Team announced the open-source release of ML Drift, a high-performance, cross-platform, on-device GPU compute engine for AI/ML inference, under the Apache 2.0 license. ML Drift simplifies hardware and low-level API complexities across OpenGL ES, OpenCL, Metal, and WebGPU, enabling developers to create real-time, interactive ML experiences. It serves as the core GPU acceleration engine within LiteRT and is also available as a standalone library for custom graphics and inference runtimes.
This release marks the first time Google has offered ML Drift as a standalone library, unlike its previous integration solely within LiteRT.
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PublishedOffset at this time: UTC+0Oct 9, 2026, 15:50 UTC
IngestedOffset at this time: UTC+0Oct 10, 2026, 00:00 UTC
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- Oct 9, 2026, 15:50
- Ingested
- Oct 10, 2026, 00:00
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Blog Post: ML Drift: Next-Gen GPU AI/ML Inference at the Edge - Google Developers Blog
The Google AI Edge Team is excited to announce the open-source release of ML Drift, our high-performance, cross-platform, on-device GPU compute engine specifically built for on-device AI/ML inference, under the Apache 2.0 license. By abstracting hardware and low-level API complexities of on-device GPUs across OpenGL ES, OpenCL, Metal, and WebGPU, ML Drift empowers developers to build real-time, interactive ML experiences from advanced video effects to generative AI across multiple platforms. Serving as the core GPU acceleration engine within LiteRT, ML Drift is also available as a standalone library for custom graphics and inference runtimes providing a unified foundation to deliver peak performance everywhere.