{
  "id": 110684,
  "title": "GPU Limit",
  "url": "/competitions/rsna-intracranial-hemorrhage-detection/discussion/110684",
  "author_name": "Ken Ho",
  "post_date": "2019-09-30T10:08:17.051000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Question 1:\nIf my committed kernels reach 30-hours mark while running, will it finish?</p>\n\n<p>Question 2:\nAfter reaching 30-hours mark, are there any way I can open my GPU-enabled kernel and modify it? such as disabling GPU from outside?\n(I cannot open it now, because Kaggle automatically use the remaining quota to protect my committed kernel)</p>",
  "messages": [
    {
      "id": 636897,
      "postDate": "2019-09-30T10:08:17.053Z",
      "content": "<p>Question 1:\nIf my committed kernels reach 30-hours mark while running, will it finish?</p>\n\n<p>Question 2:\nAfter reaching 30-hours mark, are there any way I can open my GPU-enabled kernel and modify it? such as disabling GPU from outside?\n(I cannot open it now, because Kaggle automatically use the remaining quota to protect my committed kernel)</p>",
      "rawMarkdown": "Question 1:\nIf my committed kernels reach 30-hours mark while running, will it finish?\n\nQuestion 2:\nAfter reaching 30-hours mark, are there any way I can open my GPU-enabled kernel and modify it? such as disabling GPU from outside?\n(I cannot open it now, because Kaggle automatically use the remaining quota to protect my committed kernel)"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "636897": "Question 1:\nIf my committed kernels reach 30-hours mark while running, will it finish?\n\nQuestion 2:\nAfter reaching 30-hours mark, are there any way I can open my GPU-enabled kernel and modify it? such as disabling GPU from outside?\n(I cannot open it now, because Kaggle automatically use the remaining quota to protect my committed kernel)"
  }
}