AMD CDNA 3: world's first exascale APU, CPU + GPU on same package

AMD has confirmed that its CDNA 3 architecture is the world's first exascale APU design: both CPU + GPU chiplets on single package.

1 minute & 29 seconds read time

AMD has confirmed a bunch of its next-gen GPU architectures at its recent Financial Analyst Day 2022, with details on RDNA 3 and RDNA 4 architectures... as well as the world's first exascale APU: CDNA 3.

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AMD's next-gen CDNA 3 architecture will be the first exascale APU design, packing both CPU and GPU chiplets on the same package. AMD has promised an insane 5x or higher (AI) performance-per-watt uplift for its new CDNA 3 architecture over the current CDNA 2 architecture.

The company said that the expected performance-per-watt uplift for CDNA 3 will be achieved through the new 5nm process and 3D chiplet packaging, the next-gen AMD Infinity Cache, 4th Gen Infinity architecture, unified memory APU architecture, and new math formats. A huge +500% increase... but the chart does note "AI performance/watt uplift".

This confirmation from AMD further cements rumors from just a month ago now, when we heard the next-gen AMD Instinct MI300 accelerator would be the first CDNA 3-based GPU that would tap 3D stacking technology. We should see Zen 4 CPU cores, CDNA 3 GPU cores, and shared HBM memory on the same APU.

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It'll be an impressive technological feat, which we should see unravel over the coming months as rumors said that the "first silicon hits the lab" in Q3 2022 and we're now sliding into Q3.

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Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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