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subtitle_filepaths:
-
source_id:
56 -
original_url:
https://www.youtube.com/watch?v=zg6MgDnHlrU -
last_error:
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media_filepath:
/downloads/chris/tubes/Let's Get Rusty_[UCSp-OaMpsO8K0KkOqyBl7_w]/Season 2026/s2026e102099_NVIDIA’s new way to program GPUs with Rust.mp4 -
playlist_index:
1 -
description:
👉Join the Rust Live Accelerator waitlist: https://letsgetrusty.com/join/wv-zg6MgDnHlrU Learn GPU programming with Rust using NVIDIA's cuTile library. We take a simple model weight-update calculation from a CPU loop to a GPU kernel, explaining weights, gradients, tensors, tiles, and parallel execution along the way. Then we call the kernel from a Rust program and compare the example running on a laptop CPU with an AWS-hosted GPU. cuTile Rust documentation: https://nvidia.github.io/cuda-rust/cutile/latest/ Chapters 0:00 GPU programming with Rust 1:33 How cuTile compiles and runs GPU code 3:35 Converting the CPU function into a GPU kernel 6:48 Calling the GPU kernel from Rust 7:46 Comparing CPU and GPU performance -
prevent_download:
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id:
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prevent_culling:
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uploaded_at:
2026-10-20T15:00:37Z -
predicted_media_filepath:
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updated_at:
2026-10-21T00:18:19Z -
culled_at:
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nfo_filepath:
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media_size_bytes:
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inserted_at:
2026-10-21T00:18:08Z -
upload_date_index:
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title:
NVIDIA’s new way to program GPUs with Rust -
metadata_filepath:
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uuid:
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duration_seconds:
528 -
matching_search_term:
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media_downloaded_at:
2026-10-21T00:18:16Z -
media_redownloaded_at:
-
media_id:
zg6MgDnHlrU
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| Pinchflat.Downloading.MediaDownloadWorker | completed |