Row 77217

Row ID: 77217 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 77217 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Sure, someone just has to pony up the startup funds to buy the hardware to start training it. One a100 GPU chip costs around $8,000 If you can find one and they're priced gouged up to $20k. You'll need dozens at the very least, even though every company that is doing this has hundreds or thousands of them being put to work. Meta uses at least 6,080 of these cards to train their LLM. Conservatively speaking if you want to start at 1000 GPUs, which is weak compared to the competition, you need to crowd source $800k minimum. How much you throwing in?

FieldValue
text Sure, someone just has to pony up the startup funds to buy the hardware to start training it. One a100 GPU chip costs around $8,000 If you can find one and they're priced gouged up to $20k. You'll need dozens at the very least, even though every company that is doing this has hundreds or thousands of them being put to work. Meta uses at least 6,080 of these cards to train their LLM. Conservatively speaking if you want to start at 1000 GPUs, which is weak compared to the competition, you need to …
label r/chatgpt
dataType comment
communityName r/ChatGPT
datetime 2024-05-24
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url_encoded Z0FBQUFBQm5Lak8wYU9odmhsVGUwNGZsb0thejhUellaRXdDOW9iWHdEMG1lc3Nxc0k2b2xZWERPTUttSFZGYWtUQUNOM3R3U1IweXU1YlZUb0RGSnBqVGlURkRuUXFjb1FpV3RyTEtZbVc5MXlFdWJwdGtwc05ydURCQzJUdnlwcVNjMFl5THZEUTg3UVVRbU53WVo0NmNGX0Nwb25uNVNLN0VEM2tkcEh2QUtuYU9YLS1aSTV4eTF6TkJlOEVxNDZRb19jNkR1UkRpQ19qbmlQenhkblpycmZJcFlxU0Ywdz09

Raw Record

{
  "text": "Sure, someone just has to pony up the startup funds to buy the hardware to start training it. One a100 GPU chip costs around $8,000 If you can find one and they're priced gouged up to $20k. You'll need dozens at the very least, even though every company that is doing this has hundreds or thousands of them being put to work. Meta uses at least 6,080 of these cards to train their LLM. Conservatively speaking if you want to start at 1000 GPUs, which is weak compared to the competition, you need to crowd source $800k minimum. How much you throwing in?",
  "label": "r/chatgpt",
  "dataType": "comment",
  "communityName": "r/ChatGPT",
  "datetime": "2024-05-24",
  "username_encoded": "Z0FBQUFBQm5Lak1qb0lkMXdHdGFaV2dJN1NmNlZzYmdjMi1wSVRiOXVfMU91aEFVS3NWOHdIbksxZFE2NmtQWE5iWUxJQ1FubjUydnZEMFZXU0Q3c1Q1dXY1Uk9EY2hmenMwc3pZMjF0NG1PUU5rOEN0RjV3eFk9",
  "url_encoded": "Z0FBQUFBQm5Lak8wYU9odmhsVGUwNGZsb0thejhUellaRXdDOW9iWHdEMG1lc3Nxc0k2b2xZWERPTUttSFZGYWtUQUNOM3R3U1IweXU1YlZUb0RGSnBqVGlURkRuUXFjb1FpV3RyTEtZbVc5MXlFdWJwdGtwc05ydURCQzJUdnlwcVNjMFl5THZEUTg3UVVRbU53WVo0NmNGX0Nwb25uNVNLN0VEM2tkcEh2QUtuYU9YLS1aSTV4eTF6TkJlOEVxNDZRb19jNkR1UkRpQ19qbmlQenhkblpycmZJcFlxU0Ywdz09"
}
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