NVIDIA GPU-Accelerated Video Decoding

Security and IT departments will commonly equip operators with multi-monitor stations or video walls, so they can monitor a greater number of cameras concurrently and provide them greater situational awareness across their environment. 

By leveraging NVIDIA GPUs to accelerate decoding, Security Center offloads processing demand from the CPU and enhances the performance of existing workstations. The capability enables operators to display more high-resolution streams from a single workstation, as well as enhancing video playback performance. 

GPU-accelerated decoding makes use of powerful graphics processing units (GPU) included with many servers and client workstations, by offloading processing-intensive applications from the CPU, dramatically increasing performance. In video monitoring, the ability to utilize to the GPU for video rendering reduces the impact on security workstations by freeing up CPU resources and allows operators to display more high-resolution cameras from a single system, enhancing playback fluidity when reviewing video. 

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  • Americas
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Product line

  • Kiwivision
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  • Security Center

Key market applications

NVIDIA’s end-to-end GPU platform enables Genetec Security Center users to accelerate decoding, viewing and analysis of more concurrent video streams, reducing operational costs and increasing productivity. 

AI for Safety and Security​ 

NVIDIA’s ecosystem of ISV partners is using GPU acceleration to build AI applications that are enhancing safety measures, preventing threats, and protecting individuals, organizations, and societies from various risks and security breaches​. 

Automated Operations​ 

NVIDIA AI software and GPU hardware empower our partners to develop AI solutions that streamline and optimize various business processes and tasks to improve operational efficiency, accuracy, productivity and sustainability​. 

Features and benefits

  • Faster Processing: GPU acceleration allows for parallel processing of video data, significantly speeding up the monitoring and analysis of video footage 

  • Enhanced Performance: By offloading video processing to the GPU, the overall performance and responsiveness of the video monitoring system is improved, allowing for smoother playback and analysis. 

  • Advanced Video Analytics: GPU acceleration enables the use of advanced video analytics techniques such as object detection, tracking, biometrics, and behavior analysis.  

  • High-Resolution Support: GPUs efficiently process and display high-resolution video feeds without sacrificing performance. 

  • Scalability: GPU-accelerated video monitoring systems can be easily scaled by adding more GPUs to the system. This scalability allows for the analysis of multiple video streams simultaneously, making it suitable for applications like large-scale tracking and monitoring in complex environments. 

  • Energy Efficiency: GPU accelerated video monitoring systems can achieve faster processing while optimizing power consumption, resulting in cost savings and reduced environmental impact. 

  • Real-time Decision Making: GPU-accelerated video monitoring systems enable real-time analysis and decision-making based on video data.