AMD graphics cards have a lot to offer, but when it comes to AI, Nvidia is still king -- and it's time AMD started to worry about it.
Both AMD and Nvidia make some of the best graphics cards on the market, but it’s hard to deny that Nvidia is usually in the lead. I don’t just mean the vast difference in market share. In this generation, it’s Nvidia that has the behemoth GPU that’s better than all the other cards, while AMD doesn’t have an answer to the RTX 4090 just yet.
If we pretend that the RTX 4090 doesn’t exist, then comparing the RTX 4080 and 4070 Ti to the RX 7900 XTX and XT tells us that things are pretty even right now; at least as far as gaming is concerned.There’s no way to sugarcoat this — Nvidia is simply better at running AI-generated tasks than AMD is right now. It’s not really an opinion, it’s more of a fact. This is also not the only ace up its sleeve.
After the testing, the end result was that Nvidia’s RTX 30-series and RTX 40-series both did fairly well . AMD’s RDNA 3 line also held up well, but the last-gen RDNA 2 cards were fairly mediocre. However, even AMD’s best card was miles behind Nvidia in these benchmarks, showing that Nvidia is simply faster and better at tackling AI-related tasks.
Nvidia has a long history of AI AMD and Nvidia graphics cards are vastly different on an architectural level, so it’s impossible to compare them completely. However, one thing we do know is that Nvidia’s cards are optimized for AI in terms of their very structure, and this has been the case for years.
AMD has done some work on its own alternatives, but it’s fairly recent when you compare it to the years of experience Nvidia has had. AMD’s Radeon Open Compute platform lets developers accelerate compute and machine learning workloads. Under that ecosystem, it has fairly recently launched a project called GPUFORT.
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