We’ve seen a lot of conversation around using AWS resources for deep learning models on the forums over the past couple of weeks. We know that some custom tutorials are being created. In the meantime, our friends at NVIDIA have offered to provide free access to their training along with the AWS resources needed to work through their Hands-on Lab. For access to the hands-on labs for free, you’ll need to register, using the promo code KAGGLE, at: https://developer.nvidia.com/qwiklabs-signup
", "messages": [ { "id": "106118", "postDate": "01/28/2016 16:17:18", "content": "We’ve seen a lot of conversation around using AWS resources for deep learning models on the forums over the past couple of weeks. We know that some custom tutorials are being created. In the meantime, our friends at NVIDIA have offered to provide free access to their training along with the AWS resources needed to work through their Hands-on Lab. For access to the hands-on labs for free, you’ll need to register, using the promo code KAGGLE, at: https://developer.nvidia.com/qwiklabs-signup
", "rawMarkdown": "We’ve seen a lot of conversation around using AWS resources for deep learning models on the forums over the past couple of weeks. We know that some custom tutorials are being created. In the meantime, our friends at NVIDIA have offered to provide free access to their training along with the AWS resources needed to work through their Hands-on Lab. For access to the hands-on labs for free, you’ll need to register, using the promo code KAGGLE, at: https://developer.nvidia.com/qwiklabs-signup", "votes": null }, { "id": "106127", "postDate": "01/28/2016 17:44:41", "content": "I <3 NVIDIA. :-)
", "rawMarkdown": "I <3 NVIDIA. :-)", "votes": null }, { "id": "106128", "postDate": "01/28/2016 18:08:03", "content": "Have already registered and waiting for the reply.It would help me a lot!
\n\nMy NVS 310 cannot speed up the training process, until now. And I have started to work on other approaches. Many thanks to NVIDIA.
", "rawMarkdown": "Have already registered and waiting for the reply.It would help me a lot! \r\n\r\nMy NVS 310 cannot speed up the training process, until now. And I have started to work on other approaches. Many thanks to NVIDIA.", "votes": null }, { "id": "106142", "postDate": "01/28/2016 19:45:01", "content": "To address some of the statements, NVIDIA is offering access to their deep learning training labs, which run on AWS, but not credits to use freely on AWS instances.
", "rawMarkdown": "To address some of the statements, NVIDIA is offering access to their deep learning training labs, which run on AWS, but not credits to use freely on AWS instances.", "votes": null }, { "id": "106146", "postDate": "01/28/2016 20:02:52", "content": "Can Kaggle ask Amazon for some sponsorship too? e.g. 500$ GPU credit which expires when this competition finishes.
", "rawMarkdown": "Can Kaggle ask Amazon for some sponsorship too? e.g. 500$ GPU credit which expires when this competition finishes.", "votes": null }, { "id": "150568", "postDate": "12/15/2016 20:10:25", "content": "Did we check with Amazon on AWS credit. I know that they give free credit to Universities (Profs and students for either course or research projects).
\n\nIf not already, someone from Kaggle could drop them a mail and checking out. (Also why not try Google cloud too, they are giving $300 credit to everyone to try their service).
", "rawMarkdown": "Did we check with Amazon on AWS credit. I know that they give free credit to Universities (Profs and students for either course or research projects).\r\n\r\nIf not already, someone from Kaggle could drop them a mail and checking out. (Also why not try Google cloud too, they are giving $300 credit to everyone to try their service).", "votes": null }, { "id": "1949349", "postDate": "09/21/2022 16:13:19", "content": "I recommend the Building Transformer-Based Natural Language Processing Applications workshop, very informative one.
", "rawMarkdown": "I recommend the Building Transformer-Based Natural Language Processing Applications workshop, very informative one.", "votes": null } ], "comments": [ { "id": 1949349, "author_name": "khlaifiabilel", "author_url": "", "post_date": "09/21/2022 16:13:19", "content": "I recommend the Building Transformer-Based Natural Language Processing Applications workshop, very informative one.
", "votes": null, "replies": [] }, { "id": 106127, "author_name": "inversion", "author_url": "", "post_date": "01/28/2016 17:44:41", "content": "I <3 NVIDIA. :-)
", "votes": null, "replies": [] }, { "id": 106128, "author_name": "a11rand0m", "author_url": "", "post_date": "01/28/2016 18:08:03", "content": "Have already registered and waiting for the reply.It would help me a lot!
\n\nMy NVS 310 cannot speed up the training process, until now. And I have started to work on other approaches. Many thanks to NVIDIA.
", "votes": null, "replies": [] }, { "id": 106142, "author_name": "josette", "author_url": "", "post_date": "01/28/2016 19:45:01", "content": "To address some of the statements, NVIDIA is offering access to their deep learning training labs, which run on AWS, but not credits to use freely on AWS instances.
", "votes": null, "replies": [] }, { "id": 106146, "author_name": "phunter", "author_url": "", "post_date": "01/28/2016 20:02:52", "content": "Can Kaggle ask Amazon for some sponsorship too? e.g. 500$ GPU credit which expires when this competition finishes.
", "votes": null, "replies": [] }, { "id": 150568, "author_name": "microkernel", "author_url": "", "post_date": "12/15/2016 20:10:25", "content": "Did we check with Amazon on AWS credit. I know that they give free credit to Universities (Profs and students for either course or research projects).
\n\nIf not already, someone from Kaggle could drop them a mail and checking out. (Also why not try Google cloud too, they are giving $300 credit to everyone to try their service).
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "106118": "We’ve seen a lot of conversation around using AWS resources for deep learning models on the forums over the past couple of weeks. We know that some custom tutorials are being created. In the meantime, our friends at NVIDIA have offered to provide free access to their training along with the AWS resources needed to work through their Hands-on Lab. For access to the hands-on labs for free, you’ll need to register, using the promo code KAGGLE, at: https://developer.nvidia.com/qwiklabs-signup", "106127": "I <3 NVIDIA. :-)", "106128": "Have already registered and waiting for the reply.It would help me a lot! \r\n\r\nMy NVS 310 cannot speed up the training process, until now. And I have started to work on other approaches. Many thanks to NVIDIA.", "106142": "To address some of the statements, NVIDIA is offering access to their deep learning training labs, which run on AWS, but not credits to use freely on AWS instances.", "106146": "Can Kaggle ask Amazon for some sponsorship too? e.g. 500$ GPU credit which expires when this competition finishes.", "150568": "Did we check with Amazon on AWS credit. I know that they give free credit to Universities (Profs and students for either course or research projects).\r\n\r\nIf not already, someone from Kaggle could drop them a mail and checking out. (Also why not try Google cloud too, they are giving $300 credit to everyone to try their service).", "1949349": "I recommend the Building Transformer-Based Natural Language Processing Applications workshop, very informative one." }, "source": "meta" }