Row 63023
Content Data
This page contains data entry 63023 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I agree it will probably take the others a while to catch up, but TPUs are already basically better than GPUs for these workloads so I don't think really Google is a good example to point at.
Microsoft has been slow to start, but both AWS and Apple are no slouches - they've been putting out decent chips for ages now so it's not like they are starting from zero.
Seems pretty likely that by 2028 we'll see all frontier training runs/inference workloads on hyperscaler's ASICs, all of the leading labs are either already there (Anthropic, GDM) or have a clear path and made statements in this direction (OAI/Microsoft, Meta)
| Field | Value |
|---|---|
| text | I agree it will probably take the others a while to catch up, but TPUs are already basically better than GPUs for these workloads so I don't think really Google is a good example to point at. Microsoft has been slow to start, but both AWS and Apple are no slouches - they've been putting out decent chips for ages now so it's not like they are starting from zero. Seems pretty likely that by 2028 we'll see all frontier training runs/inference workloads on hyperscaler's ASICs, all of the leading l… |
| label | r/investing |
| dataType | comment |
| communityName | r/investing |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1hS091SE92a21VRFozVVpIV3NTTy1pNTFYdmNZek5LWTdybDFhaWY3MVBoYkk4TFJ0Z3JLWGhlSGRmVXpManVpZkxDb09MRlFsbGFfTjloZzV2ZTY4QUdSRFFvS3lVVEVkUVBmUklWOUlCVzA9 |
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Raw Record
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"text": "I agree it will probably take the others a while to catch up, but TPUs are already basically better than GPUs for these workloads so I don't think really Google is a good example to point at.\n\nMicrosoft has been slow to start, but both AWS and Apple are no slouches - they've been putting out decent chips for ages now so it's not like they are starting from zero.\n\nSeems pretty likely that by 2028 we'll see all frontier training runs/inference workloads on hyperscaler's ASICs, all of the leading labs are either already there (Anthropic, GDM) or have a clear path and made statements in this direction (OAI/Microsoft, Meta)",
"label": "r/investing",
"dataType": "comment",
"communityName": "r/investing",
"datetime": "2024-05-23",
"username_encoded": "Z0FBQUFBQm5Lak1hS091SE92a21VRFozVVpIV3NTTy1pNTFYdmNZek5LWTdybDFhaWY3MVBoYkk4TFJ0Z3JLWGhlSGRmVXpManVpZkxDb09MRlFsbGFfTjloZzV2ZTY4QUdSRFFvS3lVVEVkUVBmUklWOUlCVzA9",
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}
Entry Information
- Entry ID: 63023
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000