{
  "id": 66896,
  "title": "Image Net - Minimum hardware requirement",
  "url": "/competitions/imagenet-object-localization-challenge/discussion/66896",
  "author_name": "",
  "post_date": "2018-09-26T14:36:00.231173400Z",
  "votes": 6,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Data set for Imagenet is 155 GB, What is the minimum hardware requirement to run imagenet training </p>\n\n<p>I have system with NVIDIA GTX 960 1024 CUDA cores  - 4 GB GPU RAM\nSSD 250 X2\n2TB HDD\n64 GB RAM (SYSTEM RAM)</p>\n\n<p>1) Will this system sufficient to try imagenet ? \n2) what is the minimum required hardware ?\n3) if you have already submitted kindly post your hardware config and time taken to run the training ?</p>\n\n<p>As of now only 25 team has participated in this challenge which bring assumption that this will not run in average PC </p>\n\n<p>Thanks\nHappy Kaggling :-)</p>",
  "messages": [
    {
      "id": "394231",
      "postDate": "09/26/2018 14:36:00",
      "content": "<p>Data set for Imagenet is 155 GB, What is the minimum hardware requirement to run imagenet training </p>\n\n<p>I have system with NVIDIA GTX 960 1024 CUDA cores  - 4 GB GPU RAM\nSSD 250 X2\n2TB HDD\n64 GB RAM (SYSTEM RAM)</p>\n\n<p>1) Will this system sufficient to try imagenet ? \n2) what is the minimum required hardware ?\n3) if you have already submitted kindly post your hardware config and time taken to run the training ?</p>\n\n<p>As of now only 25 team has participated in this challenge which bring assumption that this will not run in average PC </p>\n\n<p>Thanks\nHappy Kaggling :-)</p>",
      "rawMarkdown": "Data set for Imagenet is 155 GB, What is the minimum hardware requirement to run imagenet training \n\nI have system with NVIDIA GTX 960 1024 CUDA cores  - 4 GB GPU RAM\nSSD 250 X2\n2TB HDD\n64 GB RAM (SYSTEM RAM)\n\n\n1) Will this system sufficient to try imagenet ? \n2) what is the minimum required hardware ?\n3) if you have already submitted kindly post your hardware config and time taken to run the training ?\n\nAs of now only 25 team has participated in this challenge which bring assumption that this will not run in average PC \n\nThanks\nHappy Kaggling :-)",
      "votes": null
    },
    {
      "id": "413017",
      "postDate": "10/31/2018 06:39:31",
      "content": "<p>For these kind of data, i would suggest using GTX 1000 series, preferably 1080Ti which has 11 gb of vram. Checkout this post for details for choosing right hardware based on data. <strong><a href=\"https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9\">https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9</a></strong></p>",
      "rawMarkdown": "For these kind of data, i would suggest using GTX 1000 series, preferably 1080Ti which has 11 gb of vram. Checkout this post for details for choosing right hardware based on data. **https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9**",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 413017,
      "author_name": "fuqqra",
      "author_url": "",
      "post_date": "10/31/2018 06:39:31",
      "content": "<p>For these kind of data, i would suggest using GTX 1000 series, preferably 1080Ti which has 11 gb of vram. Checkout this post for details for choosing right hardware based on data. <strong><a href=\"https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9\">https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9</a></strong></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "394231": "Data set for Imagenet is 155 GB, What is the minimum hardware requirement to run imagenet training \n\nI have system with NVIDIA GTX 960 1024 CUDA cores  - 4 GB GPU RAM\nSSD 250 X2\n2TB HDD\n64 GB RAM (SYSTEM RAM)\n\n\n1) Will this system sufficient to try imagenet ? \n2) what is the minimum required hardware ?\n3) if you have already submitted kindly post your hardware config and time taken to run the training ?\n\nAs of now only 25 team has participated in this challenge which bring assumption that this will not run in average PC \n\nThanks\nHappy Kaggling :-)",
    "413017": "For these kind of data, i would suggest using GTX 1000 series, preferably 1080Ti which has 11 gb of vram. Checkout this post for details for choosing right hardware based on data. **https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9**"
  },
  "source": "meta"
}