699-2G179-0220-100 Nvidia 16GB GDDR6 PCIE Gen4 ECC Passive Gpu

The NVIDIA A2 Tensor Core GPU

The NVIDIA A2 Tensor Core GPU (Part Number: 699-2G179-0220-100) is a compact, low-power accelerator designed to deliver high-performance computing capabilities for a variety of applications, including AI inference, machine learning, and data analytics. With its 16GB GDDR6 memory and support for PCIe Gen4 x8, the A2 offers a balance between performance and efficiency, making it suitable for deployment in environments where space and power constraints are critical considerations.

Performance and Capabilities

Compute Performance

The A2 GPU's architecture is optimized for a wide range of compute tasks. Its 1280 CUDA cores provide substantial parallel processing power, enabling efficient execution of complex algorithms and workloads. The inclusion of 40 third-generation Tensor Cores enhances performance for AI and machine learning applications, particularly those involving deep learning models that benefit from matrix operations and high-throughput computations.

AI and Machine Learning Acceleration

With support for Tensor Cores, the A2 GPU excels in accelerating AI inference tasks. The peak performance figures, such as 9 TFLOPS for TF32 and 36 TFLOPS for FP16 with sparsity, indicate its capability to handle demanding AI workloads efficiently. These performance metrics make the A2 suitable for real-time AI applications, including image recognition, natural language processing, and recommendation systems.

Graphics Rendering and Visualization

While the A2 GPU is primarily designed for compute-intensive tasks, its 108 second-generation RT Cores enable hardware-accelerated ray tracing, which can be beneficial for applications requiring advanced graphics rendering. This feature allows for realistic lighting and shadow effects, enhancing the visual quality of simulations and visualizations.

Form Factor

Compact and Efficient Design

The A2 GPU's low-profile, single-slot form factor makes it an ideal choice for systems with limited space, such as compact servers and workstations. Its passive cooling solution, relying on system airflow, eliminates the need for additional fans, reducing noise and potential points of failure while maintaining efficient thermal management.

Power Efficiency

Operating within a configurable power envelope of 40–60W, the A2 GPU offers a balance between performance and energy consumption. This power efficiency is particularly advantageous in data centers and edge computing environments where power availability and thermal constraints are significant considerations.

Machine Learning Model Inference

In machine learning workflows, the A2 GPU accelerates the inference phase, where trained models are applied to new data. Its support for Tensor Cores and high throughput ensures that models can be deployed effectively, delivering predictions with minimal delay.

Compatibility and Integration

System Requirements

To ensure optimal performance, the A2 GPU requires a system with a PCIe Gen4 x8 slot. Its low-profile design allows it to fit into compact chassis, making it compatible with a wide range of server and workstation configurations. The passive cooling solution necessitates adequate system airflow to maintain thermal performance.

Environmental Considerations

Thermal Management

Given its passive cooling design, the A2 GPU relies on the host system's airflow to dissipate heat. It is essential to ensure that the system provides adequate ventilation to maintain optimal operating temperatures and prevent thermal throttling.

Operating Conditions

The A2 GPU is designed to operate in a range of environmental conditions. However, for sustained performance and longevity, it is recommended to deploy the GPU in environments with controlled temperature and humidity levels, adhering to the specifications provided by NVIDIA.