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Nvidia Faces New Threat: ASICs Target AI Workloads

ASICs, once used for cryptocurrency mining, are now targeting AI workloads. Tech giants like Alphabet and Amazon are developing their own AI chips, posing a significant threat to Nvidia's dominance.

In the picture we can see three boys standing near the desk on it, we can see two computer systems...
In the picture we can see three boys standing near the desk on it, we can see two computer systems towards them and one boy is talking into the microphone and they are in ID cards with red tags to it and behind them we can see a wall with an advertisement board and written on it as Russia imagine 2013.

Nvidia Faces New Threat: ASICs Target AI Workloads

Nvidia, the tech giant dominating the AI boom, faces a new challenge. Application-specific integrated circuits (ASICs), initially used for cryptocurrency mining, are now targeting AI workloads, threatening Nvidia's GPU dominance.

Investors are warned to keep a close eye on the ASIC threat, which could significantly impact Nvidia's growth story. While Nvidia has partnered with OpenAI to secure its position, other tech giants like Alphabet, Amazon, Meta Platforms, OpenAI, and Microsoft are developing their own custom AI chips, aiming to reduce reliance on Nvidia and lower costs.

The shift in the AI market towards inference could further weaken Nvidia's dominance. Inference, less demanding than training, prioritises total cost of ownership. ASICs, with their superior performance and lower cost, could replace GPUs in this area, much like they did in cryptocurrency mining.

Nvidia's partnership with OpenAI is a strategic move to counter the ASIC threat. However, the AI market's size allows for multiple winners, and the economics can change rapidly, as seen in the cryptocurrency mining industry. Tech companies developing their own AI chips pose a significant challenge to Nvidia's dominance, making the situation worth monitoring closely.

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