HPE NVIDIA A100 80GB PCIe Accelerator Card P54869-001 Non-CEC

HPE NVIDIA Accelerator Card P54869-001 Non-CEC

The HPE NVIDIA A100 80GB PCIe Accelerator Card P54869-001 Non-CEC is designed to provide unparalleled computational power to organizations looking to leverage advanced computing technologies. This accelerator card is built to handle a wide variety of AI, machine learning, deep learning, data analytics, and high-performance computing (HPC) workloads. Its immense capabilities in terms of processing speed and memory make it one of the most desirable components for those seeking to scale up their operations and improve performance in their data centers.

Key Features of the HPE NVIDIA Accelerator Card

Cutting-Edge GPU Architecture

At the heart of the HPE NVIDIA A100 80GB PCIe Accelerator Card lies the Ampere architecture, which brings new levels of performance and efficiency. The Ampere architecture optimizes throughput and latency, making it ideal for both inference and training operations in artificial intelligence (AI). Its support for multiple types of workloads enables better scalability, greater flexibility, and higher throughput for a range of data-intensive applications.

Increased Memory Capacity

The card is equipped with 80GB of high-bandwidth memory, which allows for the storage and retrieval of large datasets without the bottlenecks that are often present with lower-memory options. This large memory capacity helps to manage more complex machine learning models and enhances performance in memory-demanding applications such as scientific simulations and deep learning.

Exceptional Computational Power

With a powerful number of CUDA cores, the HPE NVIDIA A100 provides fast computation for tasks like tensor operations, which are at the core of deep learning frameworks. The massive parallel processing power provided by the card makes it suitable for high-performance computing environments, where performance is critical. This computational power can greatly speed up time-consuming processes such as training AI models, data analysis, and simulations.

Support for Multi-Instance GPU (MIG)

One of the standout features of the HPE NVIDIA A100 is its support for Multi-Instance GPU (MIG). This feature allows users to partition the GPU into multiple smaller instances, enabling them to run different workloads on the same card without compromising on performance. This makes the accelerator card a great choice for organizations looking to run multiple tasks simultaneously, without needing to invest in additional hardware.

Power Efficiency

Despite the impressive power it delivers, the HPE NVIDIA A100 80GB PCIe Accelerator Card is highly power-efficient. This means that organizations can get more computational performance without excessive power consumption, lowering operational costs in the long run. Efficiency in both performance and power usage is a key consideration for businesses that aim to maintain sustainable and cost-effective data center operations.

 HPE NVIDIA A100 80GB PCIe Accelerator Card

AI and Machine Learning

The HPE NVIDIA A100 accelerator is particularly well-suited for artificial intelligence (AI) and machine learning (ML) tasks. The powerful processing capabilities of this card allow it to rapidly train AI models, which are integral to applications such as facial recognition, natural language processing, and autonomous vehicles. With its high-speed memory and parallel processing capabilities, the A100 excels at handling large-scale datasets, enabling faster model training and improving overall AI performance.

Data Analytics and High-Performance Computing (HPC)

In the field of data analytics, the HPE NVIDIA A100 accelerator card provides real-time data processing that can be leveraged for business insights and decision-making. For HPC workloads, such as simulations in physics or climate modeling, the card delivers the speed and reliability required for the accurate and quick processing of vast datasets. Scientific computing tasks that were once deemed too complex or time-consuming are now achievable within shorter timeframes thanks to the power of the A100.

Deep Learning and Neural Networks

Deep learning models, which utilize large and deep neural networks, benefit greatly from the A100's advanced GPU architecture. These models, particularly in areas such as image and speech recognition, are highly computationally intensive and require specialized hardware. The HPE NVIDIA A100, with its extensive CUDA cores, Tensor cores, and high-memory bandwidth, ensures that deep learning tasks are handled efficiently, making it a top choice for AI researchers and data scientists.

Compatibility and Integration with HPE Systems

HPE ProLiant Servers

The HPE NVIDIA A100 80GB PCIe Accelerator Card is fully compatible with HPE ProLiant servers. These enterprise-grade servers are designed for high-performance applications and are capable of taking full advantage of the A100’s power. By integrating the A100 card into these servers, businesses can further accelerate their computing capabilities and build robust, scalable, and efficient computing environments.

HPE Apollo Systems

HPE Apollo systems are another excellent option for integrating the A100 accelerator card. These systems are optimized for high-density workloads, such as HPC and AI, where performance and scalability are paramount. The combination of the A100 accelerator and HPE Apollo systems creates a seamless and highly efficient platform for organizations that require extreme computational power and speed.

Software Support

To get the best performance from the HPE NVIDIA A100 80GB PCIe Accelerator Card, it is important to use it in conjunction with compatible software. The card supports CUDA, NVIDIA’s parallel computing platform, which is widely used in AI and machine learning applications. Additionally, the A100 is compatible with several machine learning frameworks, such as TensorFlow, PyTorch, and Caffe, making it easy to integrate into existing workflows.

CUDA Support

CUDA support ensures that software written for GPU computing can run efficiently on the A100. CUDA is particularly beneficial for computational tasks that involve massive data processing and AI training, as it allows for parallel processing across thousands of cores. With CUDA, users can take full advantage of the A100’s processing capabilities, leading to significantly improved performance in workloads like machine learning, data analytics, and scientific simulations.

TensorFlow and PyTorch Frameworks

The NVIDIA A100 80GB PCIe Accelerator Card is designed to optimize workloads in TensorFlow and PyTorch, two of the most widely used deep learning frameworks. These frameworks rely heavily on GPU acceleration to handle the vast amounts of data and complex computations required to train deep neural networks. With the A100, developers and researchers can expect to see enhanced training times, reduced latency, and improved accuracy in their models.

Future-Proofing Your Infrastructure

By integrating the HPE NVIDIA A100 80GB PCIe Accelerator Card into your computing infrastructure, you are future-proofing your enterprise’s ability to handle the increasingly complex demands of AI, deep learning, and high-performance computing. As data and computational needs continue to grow, having a GPU that is both scalable and able to efficiently handle a wide range of tasks ensures that your organization remains competitive and at the cutting edge of technological advancements.

Choose the HPE NVIDIA A100 80GB PCIe Accelerator Card

Unmatched Performance

The combination of NVIDIA’s Ampere architecture and the 80GB memory makes the HPE NVIDIA A100 one of the most powerful accelerator cards on the market. It is ideal for workloads that demand the highest levels of performance, including AI, ML, and HPC applications.

Reliability and Scalability

Organizations looking to scale their operations can rely on the A100 accelerator for its reliability and scalability. With its ability to handle a wide variety of applications and workloads, businesses can continue to scale their infrastructure as their needs grow, without worrying about system limitations.

Energy Efficiency

One of the key selling points of the HPE NVIDIA A100 80GB PCIe Accelerator Card is its energy efficiency. In environments where cost-efficiency and sustainability are top priorities, the A100 provides exceptional performance without a significant increase in energy consumption, which is a crucial factor in reducing operational costs and maintaining green data center practices.

Easy Integration into Existing Systems

The HPE NVIDIA A100 80GB PCIe Accelerator Card is designed for easy integration into HPE’s existing hardware ecosystems, including ProLiant servers and Apollo systems. The card is a plug-and-play solution for enhancing existing infrastructure, making it a cost-effective way to boost your organization’s performance.