# Anything like Distributions.jl but works on GPU in 2025?

**URL:** <https://discourse.julialang.org/t/anything-like-distributions-jl-but-works-on-gpu-in-2025/127783>\
**Category:** General Usage\
**Tags:** statistics, distributions\
**Created:** [April 7, 2025, 4:46am UTC](https://discourse.julialang.org/t/anything-like-distributions-jl-but-works-on-gpu-in-2025/127783 "2025-04-07T04:46:24Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![jling](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jling/32/212909_2.png) [@jling](https://discourse.julialang.org/u/jling)\
**Post date:** [April 7, 2025, 4:46am UTC](https://discourse.julialang.org/t/anything-like-distributions-jl-but-works-on-gpu-in-2025/127783/1 "2025-04-07T04:46:24Z")

</div>

[Anything like Distributions.jl for GPU?](https://discourse.julialang.org/t/anything-like-distributions-jl-for-gpu/17147/) was the previous discussion.

I guess the answer is still no:

- [CUDA support ? · Issue #1183 · JuliaStats/Distributions.jl · GitHub](https://github.com/JuliaStats/Distributions.jl/issues/1183)
- [Calculating Distributions PDF in the GPU · Issue #1312 · JuliaStats/Distributions.jl · GitHub](https://github.com/JuliaStats/Distributions.jl/issues/1312)

but what are people using instead? There’s a growing demand in #hep to conduct unbinned maximal likelihood fit (sometimes with user-defined pdf functions that need numerical integration) so it would be nice if there’s a set of pdf and pdf-like functions that can be evaluated on GPUs