Up to 20X More Inference Performance

AI inference is deployed to enhance consumer lives with smart, real-time experiences and to gain insights from trillions of end-point sensors and cameras. Compared to CPU-only servers, edge and entry-level servers with NVIDIA A2 Tensor Core GPUs offer up to 20X more inference performance, instantly upgrading any server to handle modern AI.

Comparisons of one NVIDIA A2 Tensor Core GPU versus a dual-socket Xeon Gold 6330N CPU

Higher IVA Performance for the
Intelligent Edge

Servers equipped with NVIDIA A2 GPUs offer up to 1.3X more performance in intelligent edge use cases, including smart cities, manufacturing, and retail. NVIDIA A2 GPUs running IVA workloads deliver more efficient deployments with up to 1.6X better price-performance and 10 percent better energy efficiency than previous GPU generations.

IVA Performance (Normalized)

System Configuration: [Supermicro SYS-1029GQ-TRT, 2S Xeon Gold 6240 @2.6GHz, 512GB DDR4, 1x NVIDIA A2 OR 1x NVIDIA T4] |
Measured performance with Deepstream 5.1. Networks: ShuffleNet-v2 (224×224), MobileNet-v2 (224×224). |
Pipeline represents end-to-end performance with video capture and decode, pre-processing, batching, inference, and post-processing.

Optimized for Any Server

NVIDIA A2 is optimized for inference workloads and deployments in entry-level servers constrained by space and thermal requirements, such as 5G edge and industrial environments. A2 delivers a low-profile form factor operating in a low-power envelope, from a TDP of 60W down to 40W, making it ideal for any server.

Lower Power and Configurable TDP

Key applications

Smart Cities

The NVIDIA A2 GPU plays a key role in smart city applications, providing the robust computing power needed for real-time data processing and analysis. This compact yet powerful graphics processor is tailored for edge computing, enabling efficient deployment in various urban environments. Its low power consumption and high performance make it ideal for tasks such as traffic management, where it can process vast amounts of video data from surveillance cameras to optimize traffic flow and reduce congestion. Additionally, the A2 can enhance public safety through real-time facial recognition and anomaly detection, ensuring a swift response to potential threats. Its use in environmental monitoring systems also allows for analysis of air quality and noise levels, contributing to healthier living conditions in cities. Overall, the NVIDIA A2 accelerates the implementation of smart infrastructure, driving the evolution of smarter and more responsive cities.

Retail

The NVIDIA A2 GPU plays a key role in revolutionizing retail applications by enhancing AI-driven functionalities such as computer vision, customer analysis, and inventory management. With advanced AI capabilities, the A2 can provide real-time video analytics for in-store surveillance, enabling more effective loss prevention and analysis of customer behavior. Retailers can leverage this technology to personalize shopping experiences through dynamic digital signage and promotions tailored to demographic data and purchasing patterns. Additionally, the robust computing power of the A2 facilitates the automation of inventory tracking and management, ensuring optimal stock levels while reducing the likelihood of stockouts or overstock situations. By integrating NVIDIA A2 GPUs, retailers can achieve significant improvements in operational efficiency, customer satisfaction, and overall business performance.

Manufacturing

The NVIDIA A2, part of the line of advanced GPUs from NVIDIA, is increasingly becoming a cornerstone in manufacturing applications, leveraging its powerful capabilities in artificial intelligence and machine learning to enhance efficiency and precision. In automated quality control systems, the robust computing power of the A2 enables real-time analysis of product images, accurately identifying defects and ensuring consistent quality standards. Furthermore, in predictive maintenance, the A2 processes vast amounts of sensor data to anticipate equipment failures before they occur, reducing downtime and maintenance costs. Its application in robotic systems enhances automation, where the GPU’s ability to process complex algorithms and perform deep learning tasks allows robots to execute intricate manufacturing processes with precision and speed. By integrating the NVIDIA A2 GPU into manufacturing processes, companies can achieve significant advancements in productivity, quality assurance, and operational efficiency.

Edge Inference

The NVIDIA A2 GPU is an ideal solution for edge inference applications due to its balance between energy efficiency and performance. Specifically designed for AI workloads, the A2 features Ampere architecture, which includes advanced tensor cores that accelerate deep learning and AI tasks. Its compact form factor and low power consumption make it suitable for deployment in edge environments where space and energy efficiency are critical. The A2 enables real-time processing of large amounts of data close to the source, reducing latency and bandwidth usage compared to cloud-based inference. This makes it perfect for applications such as autonomous vehicles, smart cities, and the industrial Internet of Things, where quick decision-making and real-time analytics are essential. Additionally, the A2 supports a wide range of AI frameworks and tools, simplifying the integration and deployment of AI models at the edge.

Technical Specifications