Introduction

Versatile Entry-Level Inference
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 40-60 watt (W) configurable thermal design power (TDP) capability, the A2 brings adaptable inference acceleration to any server.

A2's versatility, compact size, and low power exceed the demands for edge deployments at scale, instantly upgrading existing entrylevel CPU servers to handle inference. Servers accelerated with A2 GPUs deliver higher inference performance versus CPUs and more efficient intelligent video analytics (IVA) deployments than previous GPU generations-all at an entry-level price point.

Processor

CUDA

Y

CUDA cores

2560

Graphics processor family

NVIDIA

Graphics processor

A2

Memory

Discrete graphics card memory

16 GB

Graphics card memory type

GDDR6

Memory bus

128 bit

Memory bandwidth (max)

200 GB/s

Ports & interfaces

Interface type

PCI Express x8 4.0

Performance

TV tuner integrated

N

DirectX version

N

Shader model version

N

OpenGL version

N

Dual Link DVI

N

Design

Cooling type

Passive

Bracket height

Low-Profile (LP)

Number of slots

1

Product colour

Beige

Power

Power consumption (max)

60 W

Weight & dimensions

Weight

260 g