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Copy file name to clipboardExpand all lines: src/posts/gpu-pipeline/index.md
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@@ -300,7 +300,7 @@ We are continuing to explore the following areas:
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- Better NVIDIA DALI integration for distributed training
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- Support for sharded Zarr with GPU-friendly access patterns already [merged](https://github.com/zarr-developers/zarr-python/pull/2978) in Zarr v3.0.8.
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- Explore GDS for reading from cloud object storage instead of on-prem disk storage
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-[GPU-based decompression with nvCOMP]
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-[GPU-based decompression with nvCOMP](https://github.com/zarr-developers/zarr-python/pull/2863)
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- Performance of [IceChunk](https://icechunk.io/en/latest/) & [Virtualzarr](https://virtualizarr.readthedocs.io/en/latest/) for cloud-native data loading
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