I'm obviously aware of the theoretical limitations they referred to. My point that it smokes the Titan RTX in real world benchmarks stands, there's more to machine learning performance than just that one stat. Performance should be measured against real-world use cases, not whether there are lines in the whitepaper you object to.

If you can wait until next year you should always wait until next year, because there will (almost) always be something better than what is currently out. That's unrelated to whether or not the 3090 is good for doing ML research; it objectively is.