Press release
AI Infrastructure Market is driven by the increasing demand for AI-enabled services & availability of AI infrastructure
AI Infrastructure Market
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AI infrastructure refers to the hardware and software components that are necessary to support artificial intelligence applications and services. This includes things like servers, storage, networking, and software tools. AI infrastructure must be able to handle the large amounts of data that are generated by AI applications and provide the computing power necessary to run complex algorithms.
Key Trends
There are four key trends in AI infrastructure technology:
1. Increased demand for data storage and processing power: As AI applications become more sophisticated, they require more data to be stored and processed. This has led to an increase in demand for data storage and processing power, both in the cloud and on-premises.
2. The need for more specialized hardware: AI applications are often computationally intensive, requiring specialized hardware such as GPUs and TPUs to run efficiently. This trend is likely to continue as AI applications become more complex.
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Key Drivers
There are a few key drivers of the AI infrastructure market.
Firstly, the increasing demand for AI-enabled services is driving companies to invest in AI infrastructure. This is because AI infrastructure is required in order to support the development and deployment of AI-enabled services.
Secondly, the increasing availability of AI infrastructure is making it more affordable for companies to invest in. This is because AI infrastructure is becoming more available as more companies invest in it and as more companies offer it as a service.
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Market Segmentation
By Technology
• Machine Learning
• Deep Learning
By Function
• Training
• Inference
By End-Use
• Enterprises
• Government
By Region
• North America
• US
Key Players
• Amazon Web Services
• Cisco Systems Inc
• Dell
• Google LLC
• Intel Corporation
• International Business Machines Corporation
• Micron Technology Inc
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