We're deep-diving into the NVIDIA RTX 3080 and 3090 architecture (Ampere), prior to our RTX 3080 review going live in the next video. This looks at memory, RT cores, and arch changes.
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In this video, we're talking about NVIDIA's Ampere architectural changes versus Turing (and, to some extent, Pascal). We'll be covering the block diagrams for SMs and the GPU on the whole, but also talking about the major changes to RT cores and to the Tensor logic. Memory and memory bandwidth are also major performance drivers, and get additional discussion. This video will help you understand how the RTX 3080, 3090, 3070, and other NVIDIA Ampere (30-series) GPUs work at a lower level, and will help you understand why the performance changes are what they are. You'll have to check back for the review on the 16th for benchmarks.

TIMESTAMPS

00:00 - NVIDIA Ampere Architecture Overview
01:50 - NVIDIA Process Changes & 8nm
05:05 - Ampere SM vs. Turing SM Differences
12:56 - Ampere L1 Cache Changes
14:55 - Ampere 3rd Gen Tensor Cores
19:14 - Changes with 2nd Gen RT Cores (3080 vs. 2080 RT)
24:14 - Quick Summary
24:44 - GDDR6X vs. GDDR6 & Memory Improvements
28:07 - Conclusion: A Lot More to Cover, But...

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Host, Additional Reporting: Steve Burke
Editorial: Patrick Stone
Video: Keegan Gallick, Andrew Coleman

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