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# `cuda.core` Release notes | ||
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Released on Nov <TODO>, 2024 | ||
Released on Dec XX, 2024 | ||
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## Hightlights | ||
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- Add `StridedMemoryView` and `@args_viewable_as_strided_memory` that provide a concrete | ||
implementation of DLPack & CUDA Array Interface supports. | ||
- Addition of the Linker class which gives object oriented and pythonic access to the nvJitLink or cuLink API | ||
depending on your CUDA version. | ||
- Add `Linker` that can link one or multiple `ObjectCode` instances generated by `Program`s. Under | ||
the hood, it uses either the nvJitLink or cuLink APIs depending on the CUDA version detected | ||
in the current environment. | ||
- Support TCC devices with a default synchronous memory resource to avoid the use of memory pools | ||
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## Limitations | ||
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- All APIs are currently *experimental* and subject to change without deprecation notice. | ||
Please kindly share your feedbacks with us so that we can make `cuda.core` better! | ||
- Some LinkerOptions are only available when using a modern version of CUDA. When using CUDA <12, | ||
- Some `LinkerOptions` are only available when using a modern version of CUDA. When using CUDA <12, | ||
the backend is the cuLink api which supports only a subset of the options that nvjitlink does. | ||
Further, some options aren't available on CUDA versions <12.6 |