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Update docs/src/interfaces/Ensembles.md
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docs/src/interfaces/Ensembles.md

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| Intel | OneAPI | [OneAPI.jl](https://github.com/JuliaGPU/oneAPI.jl) | `oneAPI.oneAPIBackend()` |
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| Apple (M-Series) | Metal | [Metal.jl](https://github.com/JuliaGPU/Metal.jl) | `Metal.MetalBackend()` |
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- `EnsembleGPUArray()` - Requires installing and `using DiffEqGPU`. This uses a GPU for computing the ensemble
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- `EnsembleGPUArray()` - Requires installing and `using DiffEqGPU`. This uses a GPU for computing the ensemble
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with hyperparallelism. It will automatically recompile your Julia functions to the GPU. A standard GPU sees
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a 5x performance increase over a 16 core Xeon CPU. However, there are limitations on what functions can
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auto-compile in this fashion, please see [DiffEqGPU for more details](https://docs.sciml.ai/DiffEqGPU/stable/)

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