Here's a breakdown of NVIDIA's gaming revenue over the last six quarters:I feel a lot of these revenue is derived from panic buying before tariffs and tightening of export control.
Quarter Ending | Gaming Revenue (USD) | Quarter-over-Quarter Change |
---|---|---|
Jan 2025 | $2.544 billion | -22.4% |
Oct 2024 | $3.279 billion | +13.8% |
Jul 2024 | $2.88 billion | +8.8% |
Apr 2024 | $2.647 billion | +18.2% |
Jan 2024 | $2.865 billion | +0.3% |
Oct 2023 | $2.856 billion | +14.9% |
I suspect you are right.
MI300 series are good at inferencing but training not so great, this changes significantly from MI355x which is why oracle has committed to buying large numbers of MI355xFor the ones saying about Nvidia stopping gaming GPUs, that won't happen. They got where they are by making their GeForce GPUs fall into the hands of most people, and allowing those to jump into CUDA. The GeForce lineup is pretty much a gateway drug so that people can get into GPGPU with CUDA and when they manage a high position job, those folks will work with what they're used to.
Instinct is still far behind Nvidia in most cases, sadly. And so is the 7900xtx, albeit the latter is now able to match a 3090 in many more scenarios nowadays.
Those instincts are more cost effective if you only account the raw acquisition cost, but this easily turns around if you factor in the required engineering time to get things working in their platform.
For really large scale deployments once you managed to make it work properly, then the engineering costs gets diluted over time. But then comes the issue that instinct products don't scale that well in multi node configs.