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The rise of edge computing, where data processing occurs closer to the source of data generation, is expected to influence the market. GPUs can play a crucial role in accelerating processing at the edge, enabling faster insights and reducing latency. This trend aligns with the growing demand for real-time data analysis in applications such as IoT (Internet of Things) and autonomous systems.
In October 2023, StackPath, a leading edge-computing platform, unveiled the inclusion of NVIDIA GPU-Accelerated Instances in its array of Virtual Machine (VM) and Container product offerings. These newly introduced instances leverage the power of NVIDIA A2 Tensor Core and NVIDIA A16 GPUs, providing the necessary computational strength for tasks like deep learning algorithms and high-performance graphical processing. Such capabilities are essential for cutting-edge technologies, spanning artificial intelligence (AI), machine learning (ML), augmented reality (AR), and virtual reality (VR).