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In an effort to cut back growth prices for in-house and OpenAI initiatives, Microsoft has reportedly been creating its personal synthetic intelligence (AI) chips in secret. The challenge, known as “Athena,” has been within the works since 2019 and seems to be designed to cut back the corporate’s reliance on Nvidia’s GPUs. Based on a Google search, Nvidia’s H100 GPU, one of many extra common choices for coaching machine studying methods, can price as a lot as $40,000 on reseller companies like eBay.
In response to those excessive prices, a number of Large Tech corporations, together with Meta, Google, and Amazon, have all developed their very own machine-learning chips in recent times. Microsoft’s Athena challenge is probably going a continuation of this development. Whereas particulars stay scarce as Microsoft has not formally commented on the challenge, The Info’s report claims that the chips are already being examined by members of Microsoft’s inside machine-learning workers and OpenAI’s builders.
The event of in-house AI chips is changing into an more and more common development amongst tech giants as they search to cut back prices and enhance the efficiency of their machine-learning methods. These methods require huge quantities of computational energy, and GPUs have historically been the go-to resolution for a lot of corporations. Nevertheless, because the demand for GPUs has elevated, so too have the prices, main many corporations to discover various options.
One such resolution is the event of specialised AI chips which can be designed particularly for machine studying duties. These chips may be optimized for the particular calls for of machine studying workloads, leading to quicker efficiency and decreased energy consumption in comparison with general-purpose GPUs.
Microsoft’s Athena challenge is probably going an try to achieve a aggressive edge within the quickly rising AI market. Because the generative AI arms race continues to warmth up, corporations are investing closely in AI analysis and growth. With its personal in-house AI chips, Microsoft might doubtlessly cut back prices, enhance efficiency, and acquire a strategic benefit over its rivals.
In conclusion, Microsoft’s secret growth of AI chips is probably going a part of a broader development amongst tech giants to cut back growth prices and enhance the efficiency of their machine-learning methods. The challenge, code-named “Athena,” is already being examined by Microsoft’s inside machine-learning workers and OpenAI’s builders, indicating that it could be near manufacturing. Because the demand for computational energy continues to develop, specialised AI chips might turn out to be more and more vital for corporations searching for to achieve a aggressive edge within the AI market.
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