Row 34650
Content Data
This page contains data entry 34650 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
You can find combinations by selecting a problem from one and solution from the other. I.e. large models need to fit into multiple server, servers need to solve loading an balancing problems, specifying the optimal amount of components to buy over time etc. There are a lot of niches that would benefit both fields if you contributed to it.
Running a model in an heterogeneous cluster so that the hardware is used at full potential is an unsolved problem.
| Field | Value |
|---|---|
| text | You can find combinations by selecting a problem from one and solution from the other. I.e. large models need to fit into multiple server, servers need to solve loading an balancing problems, specifying the optimal amount of components to buy over time etc. There are a lot of niches that would benefit both fields if you contributed to it. Running a model in an heterogeneous cluster so that the hardware is used at full potential is an unsolved problem. |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1JMnB5Mk1ucWxOQlN1cWRrQmhPZUU5S3o5dWZId2JROTRNc09iNkNEenB6VW5Mc3M0VTF0a09RZlFBOVRnN1cyTklQZmNQOHdDSE9aRExkQnZ4cGJxRGc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9YS0dHZjBrOFJZdDktVFlxN3lxRTVaRW1vcVA4XzBLbGpWZ2xZbk5qOFY5ejVWbnN4QjJQbE5tQUM3VDhTMU1zc2ZqajdXRmU4YXZsNG45Y2hQZEVHWC12LTJLbWVUMWJjODdQLVY4NGZSOUFwZnlKVDFMVnh5TUplamtHVUg2MXlNSjBGbmtNVGZBTm5hQ3Q4MkxmX2RGSHhNV21ZRWIxV08yaUhCTzlfREZSTFRpLXRVTFZSNWhOOE9laUY5c0ltSXNIaE9OSlJjMjNHWmFjTHJIRmlzTUw5Znd5bnZJZTJrUVBwb2xKcWk3Zz0= |
Raw Record
{
"text": "You can find combinations by selecting a problem from one and solution from the other. I.e. large models need to fit into multiple server, servers need to solve loading an balancing problems, specifying the optimal amount of components to buy over time etc. There are a lot of niches that would benefit both fields if you contributed to it. \n\n\nRunning a model in an heterogeneous cluster so that the hardware is used at full potential is an unsolved problem. ",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-21",
"username_encoded": "Z0FBQUFBQm5Lak1JMnB5Mk1ucWxOQlN1cWRrQmhPZUU5S3o5dWZId2JROTRNc09iNkNEenB6VW5Mc3M0VTF0a09RZlFBOVRnN1cyTklQZmNQOHdDSE9aRExkQnZ4cGJxRGc9PQ==",
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}
Entry Information
- Entry ID: 34650
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000