OpenAI debuts Python-based Triton for GPU-powered machine learning
OpenAI, the nonprofit venture whose professed mission is the ethical advancement of AI, has released the first version of the Triton language, an open source project that allows researchers to write GPU-powered deep learning projects without needing to know the intricacies of GPU programming for machine learning.Triton 1.0 uses Python (3.6 and up) as its base. The developer writes code in Python using Triton’s libraries, which are then JIT-compiled to run on the GPU. This allows integration with the rest of the Python ecosystem, currently the biggest destination for developing machine learning solutions. It also allows leveraging the Python language itself, instead of reinventing the wheel by developing a new domain-specific language.To read this article in full, please click here
OpenAI, the nonprofit venture whose professed mission is the ethical advancement of AI, has released the first version of the Triton language, an open source project that allows researchers to write GPU-powered deep learning projects without needing to know the intricacies of GPU programming for machine learning.
Triton 1.0 uses Python (3.6 and up) as its base. The developer writes code in Python using Triton’s libraries, which are then JIT-compiled to run on the GPU. This allows integration with the rest of the Python ecosystem, currently the biggest destination for developing machine learning solutions. It also allows leveraging the Python language itself, instead of reinventing the wheel by developing a new domain-specific language.
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