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NVIDIA A2 Tensor Core GPU

The NVIDIA A2 Tensor Core graphic card GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge with good specs and price .


Versatile Entry-Level Inference

The NVIDIA A2 Tensor Core graphic card GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge with good specs and price .

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.


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.


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.


Optimized for Any Server

NVIDIA A2 Tensor Core GPU 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.


Leading AI Inference Performance Across Cloud, Data Center, and Edge

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

NVIDIA A2 Tensor Core GPU 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.


Mainstream NVIDIA-Certified Systems

NVIDIA A2 Tensor Core GPU -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.


Powered by the NVIDIA Ampere Architecture

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.


NVIDIA A2 Tensor Core GPU Specs

Peak FP32 : 4.5 TF

TF32 Tensor Core : 9 TF | 18 TF¹

BFLOAT16 Tensor Core : 18 TF | 36 TF¹

NVIDIA A2 Tensor Core GPU Peak FP16 Tensor Core : 18 TF | 36 TF¹

Peak INT8 Tensor Core : 36 TOPS | 72 TOPS¹

Peak INT4 Tensor Core : 72 TOPS | 144 TOPS¹

RT Cores : 10

NVIDIA A2 Tensor Core GPU Media engines :

  • video encoder
  • video decoders (includes AV1 decode)

GPU memory : 16GB GDDR6

GPU memory bandwidth : 200GB/s

Interconnect : PCIe Gen4 x8

NVIDIA A2 Tensor Core GPU Form factor : 1-slot, low-profile PCIe

Max thermal design power (TDP) : 40–60W (configurable)

Virtual GPU (vGPU) software support : NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA AI Enterprise, NVIDIA Virtual Compute Server (vCS)

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