According to SkyQuest, the growth of Artificial intelligence (AI) chipset market has been significantly propelled by technological advancements and the ubiquitous presence of smart devices in our daily lives.
A pivotal component in this evolution is the emergence and development of AI chipsets engineered to execute intricate mathematical computations and algorithms with remarkable efficiency.
Artificial Intelligence (AI) Chipset Market
The surging demand for machine learning across diverse sectors, including automotive, finance, and retail, is driving the widespread adoption of AI technology. AI chipsets have found prominent applications in the automotive industry, with a noteworthy focus on achieving the pinnacle of autonomous driving technology known as Level 5 (L5). The development of AI-driven chipsets plays a pivotal role in enabling the production of driverless cars, a significant milestone in the automotive sector in the artificial intelligence (AI) chipset market.
Report Scope & Segmentation:
| Market Size in 2022 | USD 12.72 Billion |
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Edge Computing Segment is Expected to Grow in the Market Due to Compelling Need for AI-Powered Devices
Edge computing segment is poised for substantial growth in the foreseeable future, driven by a compelling need for AI-powered devices that can operate autonomously without continuous reliance on cloud connectivity. This shift towards edge computing represents a fundamental evolution in deploying AI technologies in the artificial intelligence (AI) chipset market.
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Key Developments in the Artificial Intelligence (AI) Chipset Market
In 2022, Oracle and Nvidia announced an expanded collaboration to catalyze AI services adoption among their customers. This strategic partnership entails bolstering Oracle Cloud Infrastructure (OCI) with a substantial influx of Nvidia GPUs, featuring the already available Ampere A100 and the cutting-edge Hopper H100. Furthermore, Nvidia’s comprehensive AI software stack, designed to support AI training and deep learning, has been seamlessly integrated into OCI. This collaboration underscores the growing synergy between cloud infrastructure providers and AI technology leaders in enhancing AI capabilities for businesses and enterprises.
