Microsoft To Launch Its Own AI Chips To Ditch NVIDIA GPU
Microsoft is developing its own AI chips to reduce its reliance on Nvidia GPUs and ensure a stable supply of AI hardware. Know more about these AI chips!
Microsoft is planning to release its first artificial intelligence (AI) chip next month. This chip is expected to reduce Microsoft’s reliance on Nvidia’s graphics processing unit (GPU).
The chip is currently used in Microsoft’s data center servers. It is likely to address the high demand and limited supply of Nvidia-designed AI chips.
Currently, Microsoft uses Nvidia GPUs to power advanced AI features in their cloud services and productivity apps.
However, the shortage of Nvidia chips has prompted Microsoft to develop its own AI chip, codenamed Athena. This chip will be designed specifically for data center servers.
The announcement of Microsoft’s AI chip is expected to be made at the company’s flagship ‘Ignite’ conference in November.
As you know the AI company ‘OpenAI’ is backed by Microsoft. OpenAI is also exploring the development of its own AI chips. OpenAI’s CEO, Sam Altman, has expressed concerns about the availability and cost of hardware required to power their AI software.
By developing their own AI chip, Microsoft aims to reduce their dependence on Nvidia GPUs and ensure a stable supply of AI hardware.
This will enable them to continue providing advanced AI capabilities to their cloud customers and improve the AI features in their productivity apps.
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What Are AI Chips?
AI chips, also known as AI accelerators, are specialized hardware designed to speed up the processing of artificial intelligence (AI) workloads.
They are typically much faster and more efficient than general-purpose CPUs and GPUs for AI tasks, such as training and inferencing AI models.
Why Do Tech Companies Need Such AI Chips?
AI chips are important because they enable the development and deployment of advanced AI applications that would be too slow or expensive to run on traditional hardware.
For example, AI chips are used in self-driving cars, facial recognition systems, and natural language processing systems.
Demand for AI chips is growing rapidly as AI becomes increasingly integrated into our everyday lives. AI chips are used in so many industries including healthcare, finance, manufacturing, retail and so on.
