This effort augments current methods builders have CUDA entry by letting them acquire the software program wanted in a single location. Extra distributors are coming quickly.
Every distribution platform that redistributes CUDA will embrace:
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Constant CUDA Toolkit naming: Third-party packages will match NVIDIA naming conventions to keep away from confusion in documentation and tutorials.
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Well timed CUDA updates: Third-party packages will probably be up to date in a well timed method after NVIDIA official releases to make sure compatibility and scale back QA overhead.
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Continued free entry: CUDA itself will stay freely accessibleâeven when packaged in paid software program. Distributors could cost for entry to their packages or software program however won’t monetize CUDA particularly.
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Complete help choices: You’ll be able to entry help through distributors and may also discover assist through NVIDIA boards or NVIDIAâs developer website, identical to all the time.
Acquiring CUDA software program from NVIDIA is free, and present avenues to get CUDA stay (they embrace downloading the CUDA Toolkit, pulling the CUDA container, putting in for Python utilizing pip or conda).
âHowever the potential for distribution platforms to bundle CUDA inside bigger enterprise deployments and software program functions permits us to make sure your expertise as a developer is easy. You obtain and set up your utility, and beneath the covers, the right CUDA model is put in, as effectively,â the corporate mentioned in a weblog by NVIDIAâs Jonathan Bentz, Rob Armstrong and Anshuman Bhat. âWorking with the NVIDIA ecosystem on this approach is a big milestone in our mission to scale back friction in GPU software program deployment. By collaborating with key gamers throughout the OS and bundle administration panorama, NVIDIA is guaranteeing that CUDA stays accessible, constant, and straightforward to make use ofâregardless of the place or how builders select to construct.â
