Leaker suggests that Nvidia's Blackwell gaming graphics processer, GB202 to use the same technology as GB200

Nvidia Hopper H100 die shot
(Image credit: Nvidia)

Nvidia's 'Big Blackwell' gaming graphics processor codenamed GB202 will use the same process technology as the recently announced compute-oriented GB200, according to well known hardware leaker @kopite7kimi. It is expected that the new production node will likely offer higher transistor density, so the GB202 will gain the number of execution units. 

"GB202 will use the same process node as GB200," wrote the leaker who tends to be accurate about Nvidia's future products. They also seemed confident that there would be at least a 30% increase in density.

Nvidia's GB100/GB200 processors for AI and HPC workloads rely on TSMC's custom 4NP fabrication process, which is an enhanced version of 4N manufacturing technology developed specifically for graphics processing units. Meanwhile, 4N is a custom version of TSMC's standard N4 production node that belongs to the company's N5-series of 5nm-class technologies. 

Considering that Nvidia'a GPUs tend to reuse various building blocks, its not surprising that Blackwell processors for compute and gaming being made on the same manufacturing technology. When it comes to transistor density, there is no way that 4NP has a 30% higher transistor density than 4N. As even N4 can only boast a 6% higher transistor density than N5. Unless 4NP uses some very sophisticated technologies, such as EUV double patterning, to boost transistor density, it is close to impossible to shrink transistor sizes so substantially compared to 4N.

Nvidia's GH100 processor (4N) has a die size of 814 mm^2 and packs 80 billion transistors, so its transistor density is around 98.28 million transistors per mm^2. Nvidia has not yet disclosed the die size of GB200, but something tells us that each of its chiplets should be very close to the reticle size limit, which is 858 mm^2. Assuming that one GB200 chiplet is indeed 858mm2, then its transistor density 121.21 million transistors per mm^2, which is quite an achievement in terms of inter-node transistor density increase.

If we see something similar with the GB202 GPU aimed at gaming market, that would be quite a noticeable improvement. Architectural improvements of Blackwell coupled with increased number of CUDA cores and fixed-function graphics hardware will ensure that Nvidia's next-generation graphics processor for client PCs will have a substantial performance improvement over existing Ada Lovelace GPUs.

Anton Shilov
Freelance News Writer

Anton Shilov is a Freelance News Writer at Tom’s Hardware US. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends.

  • Notton
    I don't care if they double the density and add a bazillion more cores.
    If the prices are not reasonable, my wallet stays closed.
  • hannibal
    So the new NVIDIA gaming cards are good at AI calculation… i can see these gpus to fly to non gamers!
    Also easy to see price hike!
  • thisisaname
    If Nvidia is limited by fab capacity and they use the same node then the gaming GPU is going to be in short supply and expensive.
    Why would they make gaming GPUs when they can make more selling Ai cards, given they can selling every AI card they can make.

    Edit: Grammar