Microsoft to Acquire 1.8 Million AI Chips, NVIDIA in Focus

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Microsoft’s AI plans are taking a significant step forward with reports suggesting the tech giant is set to acquire 1.8 million AI chips by the end of 2024. This move is aimed at enhancing the quality, speed, and cost-effectiveness of Microsoft’s AI offerings, further solidifying its position as a market leader in the AI revolution.

The primary source of these AI chips will be NVIDIA, as Microsoft aims to triple the number of GPUs in 2024. To support this ambitious plan, Microsoft also plans to invest around $100 billion in GPUs and data centers by 2027, showcasing a strong commitment to ramping up its existing infrastructure.

While NVIDIA remains a key player in the AI chip landscape, Microsoft is exploring other options as well. Intel recently introduced its Gaudi 3 AI accelerator, claiming superior power efficiency compared to NVIDIA’s H100 chip, which is essential for Meta’s AI strategies.

In addition to bolstering its AI capabilities, Microsoft is also venturing into AI-driven solutions for industries like manufacturing, aiming to streamline processes and boost profits. This aligns with Microsoft’s broader strategy of integrating AI into various tools and products to drive innovation and efficiency.

With partnerships like OpenAI in place, Microsoft’s AI ambitions are poised to shape the future of technology. However, concerns have been raised by some employees about the implications of these advancements. It remains to be seen how Microsoft will navigate these challenges and continue to lead the way in the ever-evolving landscape of artificial intelligence.

See also  Apple joins the AI race with its own ChatGPT-like chatbot

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Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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