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AMD ditches high-end gaming GPUs to join the AI race

Ana sayfa / Graphic Cards

Bad news for gamers came from AMD. AMD wants to prioritize artificial intelligence. There is a possibility that this will push GPU prices up again. Also, its biggest rival in this race is Nvidia, and its job is not easy. It’s canceling the Radeon RX 8800 and 8900 to fuel this race.

AMD wants to take its place in the AI race

Now AMD wants to take its place in the AI race. It doesn’t want to limit itself with limited resources and production capacity. This is the era of artificial intelligence. Those who fail to embrace change are doomed to be buried in the dust of history. There is a demand for hardware and components to serve productive AI workloads. AMD wants to be part of the AI movement.

The AI race is heating up. AMD will join the AI race. And it’s willing to make many sacrifices to do so
It may ditch the high-end options of its next-generation Radeon gaming GPUs in favor of GPUs for AI and high-performance computing (HPC).

In this case, AMD probably won’t have an AMD Radeon RX 8800 or 8900 when it launches its RDNA 4 GPU family next year. This is a big opportunity for rival Nvidia. It can cater to the high-end gaming market by producing the best GPUs. But this brings with it another problem. The restriction of supply will cause prices to rise.

Starfield reportedly gets Nvidia DLSS support against AMD’s FSR

Bethesda Games has announced significant updates for Starfield. These include support for the much requested DLSS technology.

Meanwhile, Nvidia’s A100 and H100 chips are leading the AI race, which AMD hopes to be a part of. In fact, it’s no surprise that AMD is prioritizing the AI race. Because Nvidia has an 823 percent profit margin on its H100 GPUs. It is also estimated that the market will grow to 150 billion dollars by 2027.

The company does not want to divert semiconductors to high-end consumer GPUs. Instead, it will focus on field programmable gate arrays (FPGAs) and general-purpose graphics processing units (GPGPUs). This will include circuits that are highly amenable to machine learning and deep learning.

Unfortunately, this does not bode well for users. This race will cost users dearly. Limited supply means we could see a return to the GPU shortages and price spikes we last saw in 2020.

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