Row 6532
Content Data
This page contains data entry 6532 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Do yourself a favor and get a used 3090. That is in your price range and is a much better option for machine learning due to having 24 GB of VRAM on a single card. You unfortunately can't just add together the VRAM of two cards. You'd have to split up the model or the batch, which is not as efficient as using a single card (multi-GPU setup efficiency does not scale perfectly, especially over a PCIe bus and for NLP in particular). So one big, fast card is your best option. If you want to wait until later this year, used 4090 prices may tank when the next generation of cards is released.
| Field | Value |
|---|---|
| text | Do yourself a favor and get a used 3090. That is in your price range and is a much better option for machine learning due to having 24 GB of VRAM on a single card. You unfortunately can't just add together the VRAM of two cards. You'd have to split up the model or the batch, which is not as efficient as using a single card (multi-GPU setup efficiency does not scale perfectly, especially over a PCIe bus and for NLP in particular). So one big, fast card is your best option. If you want to wai… |
| label | r/pytorch |
| dataType | comment |
| communityName | r/pytorch |
| datetime | 2024-05-11 |
| username_encoded | Z0FBQUFBQm5LakwydDVuZThLOEs4MFgzUU4zbFVOc2dSaEU3MF9RYlBrTDdYQ3owRHE1YktoeFBaWUw2aXZmaGphMHlpQkJzYTNQb1U5Q3RIeVFPcFJONEVTR1BHWTJtNEE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9HLVZsRVFqdDhVaGM0SUZYbHZkU05fb2pfT0lNZ3ZDWVJKUVVtZnFrT2pxQ0UtMWJFUGVLc0EwdGlVb1dBWTRBVVprLVlqckctLVB3Q2xiTTlUVlQ3Z1RfOGd4eFFnNGVERmp2elJ2dURzN1lyNExGaHAwNmZfM3BmVHptZWpmYzJaQ3pqemdBOUxlcFJKeWNkQ2N3VlFYU0x3MHRiRVhsd0JVcWU3Y2ZVOGk3SnVGaUVBVE9OOXV4Skczb3dwRDVkbFRDNEVXa20ta0NjR3JneDVNbVFuZz09 |
Raw Record
{
"text": "Do yourself a favor and get a used 3090. That is in your price range and is a much better option for machine learning due to having 24 GB of VRAM on a single card. You unfortunately can't just add together the VRAM of two cards. You'd have to split up the model or the batch, which is not as efficient as using a single card (multi-GPU setup efficiency does not scale perfectly, especially over a PCIe bus and for NLP in particular). So one big, fast card is your best option. If you want to wait until later this year, used 4090 prices may tank when the next generation of cards is released.",
"label": "r/pytorch",
"dataType": "comment",
"communityName": "r/pytorch",
"datetime": "2024-05-11",
"username_encoded": "Z0FBQUFBQm5LakwydDVuZThLOEs4MFgzUU4zbFVOc2dSaEU3MF9RYlBrTDdYQ3owRHE1YktoeFBaWUw2aXZmaGphMHlpQkJzYTNQb1U5Q3RIeVFPcFJONEVTR1BHWTJtNEE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9HLVZsRVFqdDhVaGM0SUZYbHZkU05fb2pfT0lNZ3ZDWVJKUVVtZnFrT2pxQ0UtMWJFUGVLc0EwdGlVb1dBWTRBVVprLVlqckctLVB3Q2xiTTlUVlQ3Z1RfOGd4eFFnNGVERmp2elJ2dURzN1lyNExGaHAwNmZfM3BmVHptZWpmYzJaQ3pqemdBOUxlcFJKeWNkQ2N3VlFYU0x3MHRiRVhsd0JVcWU3Y2ZVOGk3SnVGaUVBVE9OOXV4Skczb3dwRDVkbFRDNEVXa20ta0NjR3JneDVNbVFuZz09"
}
Entry Information
- Entry ID: 6532
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000