Row 4573

Row ID: 4573 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 4573 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I have a 7900XTX on Windows and am looking to utilize the GPU for tasks such as YOLOv8. Currently when setting up the environment it utilizes my CPU and is so slow.

How can I leverage the GPU on Windows? I know PyTorch doesn’t have ROCm support for Windows, but is a docker possible or even a virtualbox VM running Ubuntu able to access the GPU? I just don’t want to dual boot windows/Linux so any help is greatly appreciated!

FieldValue
text I have a 7900XTX on Windows and am looking to utilize the GPU for tasks such as YOLOv8. Currently when setting up the environment it utilizes my CPU and is so slow. How can I leverage the GPU on Windows? I know PyTorch doesn’t have ROCm support for Windows, but is a docker possible or even a virtualbox VM running Ubuntu able to access the GPU? I just don’t want to dual boot windows/Linux so any help is greatly appreciated!
label r/pytorch
dataType post
communityName r/pytorch
datetime 2024-04-17
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Raw Record

{
  "text": "I have a 7900XTX on Windows and am looking to utilize the GPU for tasks such as YOLOv8. Currently when setting up the environment it utilizes my CPU and is so slow.\n\nHow can I leverage the GPU on Windows? I know PyTorch doesn’t have ROCm support for Windows, but is a docker possible or even a virtualbox VM running Ubuntu able to access the GPU? I just don’t want to dual boot windows/Linux so any help is greatly appreciated!",
  "label": "r/pytorch",
  "dataType": "post",
  "communityName": "r/pytorch",
  "datetime": "2024-04-17",
  "username_encoded": "Z0FBQUFBQm5LakwxRTdLTG5pbkx2WGxZOWRWTWw5RXNkUEJGUmppVVZ1OHkxb1VxTFprQXJ0YTV6WmpHeU9uSnZOYTFka05oeXp6dFJqZTQ3cDhBdVg4dy1xdjhMOXpKX1E9PQ==",
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}
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