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Google ML Drift Accelerates On-Device AI Inference Across Diverse GPUs

Google has released ML Drift, an open-source, cross-platform GPU compute engine designed for on-device AI and machine learning inference. Licensed under Apache 2.0, it abstracts the complexities of different GPU hardware and low-level APIs, supporting OpenGL ES, OpenCL, Metal, and WebGPU. By Sergio De Simone

Google has introduced ML Drift, an open-source cross-platform GPU compute engine aimed at enhancing on-device AI and machine learning inference across diverse GPU hardware. This initiative simplifies the complexities associated with different GPU architectures and low-level APIs, enabling developers to build custom graphics and inference runtimes for a wide range of applications, from traditional computer vision to generative AI.

By abstracting these complexities, ML Drift seeks to establish a new standard for portability and performance, offering stability for conventional machine learning tasks and peak performance for advanced generative AI models.

Brief written by urgent.news from InfoQ's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

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