The NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60W configurable thermal design power (TDP) capability, the A2 brings versatile inference acceleration to any server for deployment at scale.
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
System Configuration: [CPU: HPE DL380 Gen10 Plus, 2S Xeon Gold 6330N @2.2GHz, 512GB DDR4]
NLP: BERT-Large (Sequence length: 384, SQuAD: v1.1) | TensorRT 8.2, Precision: INT8, BS:1 (GPU) | OpenVINO 2021.4, Precision: INT8, BS:1 (CPU)
Text-to-Speech: Tacotron2 + Waveglow end-to-end pipeline (input length: 128) | PyTorch 1.9, Precision: FP16, BS:1 (GPU) | PyTorch 1.9, Precision: FP32, BS:1 (CPU)
Computer Vision: EfficientDet-D0 (COCO, 512x512) | TensorRT 8.2, Precision: INT8, BS:8 (GPU) | OpenVINO 2021.4, Precision: INT8, BS:8 (CPU)
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.
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 (224x224), MobileNet-v2 (224x224). | Pipeline represents end-to-end performance with video capture and decode, pre-processing, batching, inference, and post-processing.
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.
AI inference continues to drive breakthrough innovation across industries, including consumer internet, healthcare and life sciences, financial services, retail, manufacturing, and supercomputing. A2’s small form factor and low power combined with the NVIDIA A100 and A30 Tensor Core GPUs deliver a complete AI inference portfolio across cloud, data center, and edge. A2 and the NVIDIA AI inference portfolio ensure AI applications deploy with fewer servers and less power, resulting in faster insights with substantially lower costs.
NVIDIA AI Enterprise, an end-to-end cloud-native suite of AI and data analytics software, is certified to run on A2 in hypervisor-based virtual infrastructure with VMware vSphere. This enables management and scaling of AI and inference workloads in a hybrid cloud environment.
NVIDIA-Certified Systems™ with NVIDIA A2 bring together compute acceleration and high-speed, secure NVIDIA networking in enterprise data center servers, built and sold by NVIDIA’s OEM partners. This program lets customers identify, acquire, and deploy systems for traditional and diverse modern AI applications from the NVIDIA NGC™ catalog on a single high-performance, cost-effective, and scalable infrastructure.
The NVIDIA Ampere architecture is designed for the age of elastic computing, delivering the performance and acceleration needed to power modern enterprise applications. Explore the heart of the world’s highest-performing, elastic data centers.
1 With sparsity
2 Supported in future vGPU release
Explore the cutting-edge technologies of the NVIDIA Ampere architecture.