Entry-level GPU A2 that brings NVIDIA AI to any server

The NVIDIA A2 is an enterprise-grade graphics processing unit (GPU) designed for artificial intelligence (AI), machine learning (ML), and compute acceleration in the DELL PowerEdge R760 and DELL PowerEdge R760xa servers. It is part of the NVIDIA A-series line, focused on cloud computing, artificial intelligence and data processing in data centers.

Key features of NVIDIA A2:

• Architecture: Ampere is NVIDIA's modern architecture that improves performance and energy efficiency compared to previous generations.
• CUDA cores: 1280 CUDA cores - the main computing core for performing parallel calculations.
• Tensor cores: 40 Tensor cores - special cores for performing accelerated operations related to AI and deep learning, such as matrix multiplications with low precision (FP16, INT8).
• Memory: 16 GB GDDR6 - the amount of video memory for storing large data sets and models working with AI.
• Memory bus width: 128 bits.
• Power consumption (TDP): 60 W - relatively low power consumption for use in server and cloud environments, making the A2 suitable for dense server installations.
• Form factor: A card with a low profile and passive cooling (no fan), which makes it convenient for use in dense server racks.
• Interface: PCIe Gen4 - support for the PCIe 4.0 interface for fast data transfer between the processor and the graphics processor.
• Outputs: No standard video outputs, as the A2 is designed for server computing, not graphics output.

Purpose of NVIDIA A2:

• Artificial intelligence and machine learning: Support for accelerated operations for training and deriving AI and ML models. Using Tensor kernels to improve performance in deep learning tasks.

• Virtualization and Virtual Workstations: NVIDIA A2 supports virtualization technologies, making it suitable for deploying virtual workstations (VDI) using NVIDIA GRID for graphics-intensive applications and basic AI tasks.

• Cloud computing: Optimized for deployment in cloud infrastructures with low power consumption and support for large data sets for cloud applications.
• Video conferencing and media processes: A2 can be used to encode and decode video streams, in particular for video surveillance systems or video conferencing using hardware acceleration.

Key advantages:

• Low power consumption: A2 is suitable for dense deployments in data centers or environments where energy efficiency is critical.
• Affordable performance: Despite relatively low performance compared to more powerful A-series cards (such as the A100), the A2 provides enough power for basic AI and data processing tasks.
• Compact form factor: Suitable for servers with limited space or in high-density racks.

Applications of NVIDIA A2:

• Small and medium-sized machine learning models.
• Server virtualization for office workstations.
• Media processing, video conferencing, data streaming.
• Cloud AI instances for easier AI operations.

NVIDIA A2 is suitable for tasks that require moderate computing power with minimal power consumption, making it a popular choice for cloud and enterprise infrastructures.

How can we help?

For more detailed information about the DELL PowerEdge R760 server with DDR5 4800 or the DELL PowerEdge R750 server with DDR4 3200, you can find it on our website SERVER SOLUTIONS , to find out the cost of the server, go to the DELL Server Configurator link .