Row 4479
Content Data
This page contains data entry 4479 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I used to have a dell g7 rtx 2060, which I used for daily usage,training and inference. I read there was some metal programming support in MacBooks Ms. I have become a used to the ease and speed(i keep a lot of tabs open) and a Mac build provides over a heavily loaded gaming laptop(where the OS itself takes a lot of the RAM). Does MacBook series provide the expected GPU speedup like nvidia cuda does? Or is it comparible.
| Field | Value |
|---|---|
| text | I used to have a dell g7 rtx 2060, which I used for daily usage,training and inference. I read there was some metal programming support in MacBooks Ms. I have become a used to the ease and speed(i keep a lot of tabs open) and a Mac build provides over a heavily loaded gaming laptop(where the OS itself takes a lot of the RAM). Does MacBook series provide the expected GPU speedup like nvidia cuda does? Or is it comparible. |
| label | r/pytorch |
| dataType | post |
| communityName | r/pytorch |
| datetime | 2024-04-13 |
| username_encoded | Z0FBQUFBQm5LakwxbkYxTndyR2hFUFg5dHpUSDFHWGNDUHV4VUlaR2xSNEpTeDQ0V1M5U193T0h6YjF5WDdQS3V6eUh0d0ZMNEgxczduZGtlWWtMaEFuMFdmX0FKb0dLZlE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9GNW1NNU4zZ00wOHFRUERLREFZX0dLSGVmUEpuaUx3NEtIX3R4dG1IMFlCNjBidzlUaFN4ZWZfVHdXLURnRU9ta2w3ekZUdEtpc1ZsT0VMcGFheWM2SF9SUVEzbGMxYU93REg2cDFHWlMwRjdJQU02RHhBVlV1S2ZtZ0I4aldiNV85Vm8xZDYxZE1PTVNDWGt6VWNuQWpIcDZIaHVUQi16Y0FIVnlKMXhGaUo4PQ== |
Raw Record
{
"text": "I used to have a dell g7 rtx 2060, which I used for daily usage,training and inference. \nI read there was some metal programming support in MacBooks Ms. I have become a used to the ease and speed(i keep a lot of tabs open) and a Mac build provides over a heavily loaded gaming laptop(where the OS itself takes a lot of the RAM). Does MacBook series provide the expected GPU speedup like nvidia cuda does? Or is it comparible.",
"label": "r/pytorch",
"dataType": "post",
"communityName": "r/pytorch",
"datetime": "2024-04-13",
"username_encoded": "Z0FBQUFBQm5LakwxbkYxTndyR2hFUFg5dHpUSDFHWGNDUHV4VUlaR2xSNEpTeDQ0V1M5U193T0h6YjF5WDdQS3V6eUh0d0ZMNEgxczduZGtlWWtMaEFuMFdmX0FKb0dLZlE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9GNW1NNU4zZ00wOHFRUERLREFZX0dLSGVmUEpuaUx3NEtIX3R4dG1IMFlCNjBidzlUaFN4ZWZfVHdXLURnRU9ta2w3ekZUdEtpc1ZsT0VMcGFheWM2SF9SUVEzbGMxYU93REg2cDFHWlMwRjdJQU02RHhBVlV1S2ZtZ0I4aldiNV85Vm8xZDYxZE1PTVNDWGt6VWNuQWpIcDZIaHVUQi16Y0FIVnlKMXhGaUo4PQ=="
}
Entry Information
- Entry ID: 4479
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000