Row 99221

Row ID: 99221 | Dataset Entry | Axioma AXP Content Repository

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Original compute requirement was 14,400 NVidia H100s for training GPT 4. Microsoft now deploying 5x that compute capacity every month for GenAI. Other great info including the Microsoft and OpenAI developed abstraction layer allowing utilizing CUDA, ROCm and Maia with no code changes. Informative video from Microsoft.

https://youtu.be/DlX3QVFUtQI?si=SkbRyMAG2ZMCKbRz

FieldValue
text Original compute requirement was 14,400 NVidia H100s for training GPT 4. Microsoft now deploying 5x that compute capacity every month for GenAI. Other great info including the Microsoft and OpenAI developed abstraction layer allowing utilizing CUDA, ROCm and Maia with no code changes. Informative video from Microsoft. https://youtu.be/DlX3QVFUtQI?si=SkbRyMAG2ZMCKbRz
label r/openai
dataType post
communityName r/OpenAI
datetime 2024-05-25
username_encoded Z0FBQUFBQm5Lak13elhReGluYkkyRXpxbU5VSHJ2TE1hREVHTG9LVU1kX1JveVp0TFNnTU1WY2ZXcXdoaVJ2SEdVVllFdnhxNkNpX3lXcFljY1FIM0N0ME8zb0N0bURhN3c9PQ==
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Raw Record

{
  "text": "Original compute requirement was 14,400 NVidia H100s for training GPT 4. Microsoft now deploying 5x that compute capacity every month for GenAI. \nOther great info including the Microsoft and OpenAI developed abstraction layer allowing utilizing CUDA, ROCm and Maia  with no code changes. \nInformative video from Microsoft. \n\nhttps://youtu.be/DlX3QVFUtQI?si=SkbRyMAG2ZMCKbRz\n",
  "label": "r/openai",
  "dataType": "post",
  "communityName": "r/OpenAI",
  "datetime": "2024-05-25",
  "username_encoded": "Z0FBQUFBQm5Lak13elhReGluYkkyRXpxbU5VSHJ2TE1hREVHTG9LVU1kX1JveVp0TFNnTU1WY2ZXcXdoaVJ2SEdVVllFdnhxNkNpX3lXcFljY1FIM0N0ME8zb0N0bURhN3c9PQ==",
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}
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