{
  "id": 649869,
  "title": "Machine specifications",
  "url": "/competitions/vesuvius-challenge-surface-detection/discussion/649869",
  "author_name": "",
  "post_date": "2025-12-01T17:57:37.276109Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Dear organisers,\nFor the competition, what machine will you use to run the inferences?\nIt is crucial for me at this phase to know exactly what machine (GPU, memory RAM and VRAM, CPU, disk space, etc.). Thank you very much!</p>",
  "messages": [
    {
      "id": "3359367",
      "postDate": "12/01/2025 17:57:37",
      "content": "<p>Dear organisers,\nFor the competition, what machine will you use to run the inferences?\nIt is crucial for me at this phase to know exactly what machine (GPU, memory RAM and VRAM, CPU, disk space, etc.). Thank you very much!</p>",
      "rawMarkdown": "Dear organisers,\nFor the competition, what machine will you use to run the inferences?\nIt is crucial for me at this phase to know exactly what machine (GPU, memory RAM and VRAM, CPU, disk space, etc.). Thank you very much!",
      "votes": null
    },
    {
      "id": "3399187",
      "postDate": "01/30/2026 11:04:51",
      "content": "<p><a href=\"https://www.kaggle.com/giorgioangelotti\" target=\"_blank\">@giorgioangelotti</a> could you help me with this? \nI'm doing some tests on kaggle notebook and it seems that my GPU is faster than Kaggle's P100. \nAlso, is there an example I could take a look to make sure I'm doing the submission correctly?\nFor instance, I need to install some dependencies besides pytorch, will this be counted for the 9 hours run limit?\nThanks!</p>",
      "rawMarkdown": "giorgioangelotti could you help me with this? \nI'm doing some tests on kaggle notebook and it seems that my GPU is faster than Kaggle's P100. \nAlso, is there an example I could take a look to make sure I'm doing the submission correctly?\nFor instance, I need to install some dependencies besides pytorch, will this be counted for the 9 hours run limit?\nThanks!",
      "votes": null
    },
    {
      "id": "3399987",
      "postDate": "01/31/2026 16:40:03",
      "content": "<p>kaggle env generally has most important libraries installed, and installing a few won't take significant time.</p>",
      "rawMarkdown": "kaggle env generally has most important libraries installed, and installing a few won't take significant time.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3399187,
      "author_name": "andrefilipeferreira",
      "author_url": "",
      "post_date": "01/30/2026 11:04:51",
      "content": "<p><a href=\"https://www.kaggle.com/giorgioangelotti\" target=\"_blank\">@giorgioangelotti</a> could you help me with this? \nI'm doing some tests on kaggle notebook and it seems that my GPU is faster than Kaggle's P100. \nAlso, is there an example I could take a look to make sure I'm doing the submission correctly?\nFor instance, I need to install some dependencies besides pytorch, will this be counted for the 9 hours run limit?\nThanks!</p>",
      "votes": null,
      "replies": [
        {
          "id": 3399987,
          "author_name": "choudharymanas",
          "author_url": "",
          "post_date": "01/31/2026 16:40:03",
          "content": "<p>kaggle env generally has most important libraries installed, and installing a few won't take significant time.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3359367": "Dear organisers,\nFor the competition, what machine will you use to run the inferences?\nIt is crucial for me at this phase to know exactly what machine (GPU, memory RAM and VRAM, CPU, disk space, etc.). Thank you very much!",
    "3399187": "giorgioangelotti could you help me with this? \nI'm doing some tests on kaggle notebook and it seems that my GPU is faster than Kaggle's P100. \nAlso, is there an example I could take a look to make sure I'm doing the submission correctly?\nFor instance, I need to install some dependencies besides pytorch, will this be counted for the 9 hours run limit?\nThanks!",
    "3399987": "kaggle env generally has most important libraries installed, and installing a few won't take significant time."
  },
  "source": "meta"
}