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AI Server Market Trends

Report ID: GMI8081
Published Date: Feb 2024
Report Format: PDF

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AI Server Market Trends

The rising demand for specialized AI hardware, like GPUs and TPUs, is a key trend propelling the AI server industry forward. These hardware components offer unparalleled performance for complex computations required in AI tasks. As organizations invest in advanced AI applications, the need for hardware optimized specifically for these workloads grows, fueling the adoption of AI servers equipped with GPUs and TPUs to meet the demands of modern AI-driven solutions.

For instance, in January 2024, NVIDIA unveiled the GeForce RTX™ 40 SUPER Series GPUs, such as the RTX 4070 SUPER, GeForce RTX 4080 SUPER, and RTX 4070 Ti SUPER, enhancing gaming experiences and fueling AI-powered PCs. These GPUs, built on the Ada Lovelace architecture, offer up to 52 shader TFLOPS, 836 AI TOPS, and 121 RT TFLOPS, empowering gaming, content creation, and innovation. This launch significantly strengthens the market by introducing technologically advanced components with premium features, further amplifying its appeal and broadening consumer options.

Authors: Preeti Wadhwani, Aishvarya Ambekar

Frequently Asked Questions (FAQ) :

The market size of AI server reached USD 38.3 billion in 2023 and is set to expand at over 18% CAGR from 2024 to 2032, propelled by the ongoing evolution of AI across various industries and the high demand for powerful server infrastructure.

The AI training server segment accounted for 37% of the market share in 2023, owing to their increasing use in handling the intensive computational demands of training complex machine learning models.

North America held more than 32% of the market share in 2023, attributed to the increasing collaborations between AI server manufacturers, software developers, and AI solution providers in the region.

Some of the leading AI server firms are ADLINK Technology Inc., Dell Technologies Inc., Global Unichip Corporation, Hewlett Packard Enterprise, Huawei Technologies Co., Ltd., IBM Corporation, Lenovo Group Limited, Nvidia Corporation, Super Micro Computer, Inc., and ZTE Corporation.