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The growing demand for specialized AI hardware, including GPUs and TPUs, is driving the AI server industry. These components provide high performance for complex computations in AI tasks. As organizations invest in advanced AI applications, the need for hardware designed for these workloads increases. This trend is boosting the adoption of AI servers with GPUs and TPUs to meet the needs of modern AI 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. These launches of advanced components with premium features strengthens the market, making it more attractive and offering more options for consumers.
Furthermore, edge AI solutions are changing the AI se
rver market by allowing real-time data processing at the source. This removes the need for central processing and reduces delays. These solutions use lightweight AI models and algorithms on edge devices like sensors, cameras, and IoT devices. This enables quick analysis and decision-making at the network's edge. Processing data locally also reduces bandwidth use and improves privacy by keeping sensitive information from being sent to central servers.