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by smoldesu
1350 days ago
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Actual use cases? Ludicrously quick AI inferencing, media transcoding, 3D render offloading, SIMD-bound simulations and anything that uses CUDA. Dedicated graphics will dominate in these scenarios, and it's such a large market that the 4090 is hardly the tip of the iceberg. Nvidia's server-grade AI chips are genuine monsters. People definitely use these cards, and there's a demand to scale them for datacenters too. Gaming still drives the sales, but you'd be surprised by what you can do with a $500 GPU plugged into a Linux box. |
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In addition to the Nvidia EULA against "datacenter use" they (allegedly) shut down the last dual slot 3090 (with server compatible cooling configuration) because it was eating at higher margin datacenter SKUs[0].
I don't see a lot of datacenters making use of a 3.5U card with challenging power and cooling requirements but I certainly could be wrong.
0 - https://www.crn.com/news/components-peripherals/gigabyte-axe...