NVIDIA's next-gen RTX 40 series GPUs: 'riding on metaverse, gaming'

NVIDIA's new GPU refresh in 2022 will be 'riding on metaverse and gaming', followed by next-gen RTX 40 series cards on TSMC 5nm.

4 minutes & 18 seconds read time

NVIDIA is preparing its partners in Taiwan for a "major" GeForce RTX 40 series "Ada Lovelace" GPU launch in 2022, with next-gen gaming GPUs tapping TSMC's new 5nm process node.

DigiTimes has a new article behind a paywall that RetiredEngineer shed a light on in a tweet: "NVIDIA gaming GPUs getting major refresh next year, Taiwan factories all-out to support 5nm RTX40 generation. NVIDIA's biennial GPU refresh coming in 2022, riding on metaverse and gaming. Following H100, based on Hopper architecture, using TSMC's 5nm + CoWoS, aimed at datacenter/AI, gaming GPU RTX40 series, based on Ada Lovelace architecture, will also tap TSMC's 5nm....".

NVIDIA's next-gen Ada Lovelace GPU architecture is expected to deliver some truly gigantic performance improvements, as well as a shift away from Samsung's 8nm node process and back into the warm fuzzy fabricating arms of TSMC and its new 5nm process node for the next-gen GeForce RTX 40 series GPUs.

That is a big thing to note here: NVIDIA's next-gen Ada Lovelace GPUs for the GeForce RTX 40 series graphics cards are being made on TSMC 5nm, and not Samsung. NVIDIA's current flock of Ampere GPUs for desktop GeForce RTX 30 series GPUs are currently made on Samsung 8nm.

NVIDIA's next-gen RTX 40 series GPUs: 'riding on metaverse, gaming' 06
  • NVIDIA Hopper GPUs = AI and datacenter
  • NVIDIA Ada Lovelace GPUs = RTX 40 series gaming GPUs

In between is the new NVIDIA Hopper GPU architecture and H100-based GPU which will also be on TSMC 5nm, but aimed at the datacenter and AI markets.

TSMC is far out and ahead of the game when it comes to making the world's very best chips, and NVIDIA knows that. AMD has some truly monstrous GPUs coming in 2022 -- namely the new RDNA 3 architecture and chiplet-based GPUs with out-of-this-world performance, as well as Intel re-entering the GPU market.

AMD and Intel's new GPUs are being made on the very latest nodes at TSMC, and now according to the very latest rumors the next-gen NVIDIA Ada Lovelace GPU architecture will also be made on the new TSMC 5nm process node and be released in the second half of 2022.

NVIDIA's new flagship AD102 "Ada Lovelace" GPU is expected to have a whopping 18432 CUDA cores, which is close to DOUBLE the CUDA cores of the flagship Ampere GPU. We should have up to 92 TFLOPs of compute performance, which is a mammoth improvement over the 36 TFLOPs of compute performance inside of the GeForce RTX 3090.

NVIDIA's next-gen RTX 40 series GPUs: 'riding on metaverse, gaming' 07

We should see NVIDIA continuing to use the ultra-fast GDDR6X memory that it has been scooping up from Micron, with fresh rumors on the new GeForce RTX 3090 Ti reportedly packing 24GB of single-sided GDDR6X memory at the higher-clocked 21Gbps bandwidth.

NVIDIA is expected to use 24GB of GDDR6X memory on its next-gen AD102-based GeForce RTX 4090, as well as what should hopefully be the same 384-bit memory bus that the GeForce RTX 3090 has. We'll know more in the near future, but I'm hoping -- no, I think -- NVIDIA will debut next-gen GDDR7 memory with its new Ada Lovelace-powered RTX 40 series GPUs.

Samsung recently teased it has next-gen GDDR7 memory with bonkers 32Gbps bandwidth (up from the 21Gbps on the new GDDR6X memory in the unreleased RTX 3090 Ti). Micron shouldn't be too far behind, and I'm sure we're going to hear all about it over the next 6-9 months.

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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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