Friday, September 23rd 2022

NVIDIA AD103 and AD104 Chips Powering RTX 4080 Series Detailed

Here's our first look at the "AD103" and "AD104" chips powering the GeForce RTX 4080 16 GB and RTX 4080 12 GB, respectively, thanks to Ryan Smith from Anandtech. These are the second- and third-largest implementations of the GeForce "Ada" graphics architecture, with the "AD102" powering the RTX 4090 being the largest. Both chips are built on the same TSMC 4N (4 nm EUV) silicon fabrication process as the AD102, but are significantly distant from it in specifications. For example, the AD102 has a staggering 80 percent more number-crunching machinery than the AD103, and a 50 percent wider memory interface. The sheer numbers at play here, enable NVIDIA to carve out dozens of SKUs based on the three chips alone, before we're shown the mid-range "AD106" in the future.

The AD103 die measures 378.6 mm², significantly smaller than the 608 mm² of the AD102, and it reflects in a much lower transistor count of 45.9 billion. The chip physically features 80 streaming multiprocessors (SM), which work out to 10,240 CUDA cores, 320 Tensor cores, 80 RT cores, and 320 TMUs. The chip is endowed with a healthy ROP count of 112, and has a 256-bit wide GDDR6X memory interface. The AD104 is smaller still, with a die-size of 294.5 mm², a transistor count of 35.8 billion, 60 SM, 7,680 CUDA cores, 240 Tensor cores, 60 RT cores, 240 TMUs, and 80 ROPs. Ryan Smith says that the RTX 4080 12 GB maxes out the AD104, which means its memory interface is physically just 192-bit wide.
Sources: Ryan Smith (Twitter), VideoCardz
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152 Comments on NVIDIA AD103 and AD104 Chips Powering RTX 4080 Series Detailed

#151
arni-gx
if they have the same price and the same TDP, rtx 3090 24gb vs rtx 4080 16gb...... really confusing.......
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#152
Athlonite
arni-gxif they have the same price and the same TDP, rtx 3090 24gb vs rtx 4080 16gb...... really confusing.......
it's easy do you want / need DLSS v3 if yes then you need a 4000 series if not then stick to the 3000 series it's as simple as that
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