P09571-001 HPE Nvidia T4 16gb Computational Accelerator

Key Features of the Nvidia T4 16GB Accelerator

High-Performance GPU Architecture

The Nvidia T4 Computational Accelerator, with its 16GB memory capacity, leverages Nvidia’s Turing architecture to provide remarkable computational performance. This powerful GPU architecture is optimized for energy-efficient processing, enabling high throughput and low latency, critical for tasks such as neural network training and inference.

Energy Efficiency

One of the standout features of the Nvidia T4 Accelerator is its superior energy efficiency. With a low power consumption of around 70 watts, the T4 provides incredible computational power while minimizing energy costs. This makes it an excellent choice for businesses seeking to reduce their environmental footprint without compromising performance.

Versatility Across Workloads

The HPE P09571-001 Nvidia T4 is versatile, capable of supporting a wide range of workloads, including high-performance computing (HPC), machine learning, and video transcoding. It is highly effective for AI-based workloads, enabling fast data processing for both inference and training applications.

Applications and Use Cases of the HPE P09571-001 Nvidia T4 16GB Computational Accelerator

AI and Machine Learning

The HPE P09571-001 Nvidia T4 is an indispensable tool for AI and machine learning applications. It accelerates both training and inference workloads, helping businesses and research institutions solve complex problems. The 16GB of memory allows for the processing of large datasets, and its ability to handle parallel tasks makes it ideal for tasks like natural language processing (NLP), computer vision, and recommendation systems.

Cloud Computing and Virtualization

In cloud environments, where scalability and performance are paramount, the T4 16GB GPU enables resource-efficient virtualized workloads. It enhances virtual desktops and applications, enabling multiple users to perform complex tasks in virtual environments without sacrificing performance.

Data Centers

Modern data centers rely heavily on powerful computational accelerators like the Nvidia T4 to process vast amounts of data. The HPE P09571-001 is designed to handle intensive workloads in data centers, from running simulations to optimizing the efficiency of big data analysis. The accelerator’s high throughput ensures that workloads are processed quickly, reducing downtime and improving operational efficiency.

Technical Specifications of the HPE P09571-001 Nvidia T4

GPU Specifications

Graphics Processing Unit (GPU)

The Nvidia T4 GPU features the latest Turing architecture, equipped with 2560 CUDA cores. With a base clock speed of 585 MHz and boost clock speeds reaching up to 1590 MHz, it delivers unparalleled speed for computational tasks.

Memory

The T4 accelerator is equipped with 16GB of GDDR6 memory, offering high bandwidth of up to 320 GB/s. This large memory capacity ensures that large datasets can be processed without causing bottlenecks, enabling faster results for deep learning and AI workloads.

Performance Benchmarks

AI Inference Performance

When it comes to AI inference, the Nvidia T4 excels, offering up to 130 teraflops of AI performance. This enables ultra-fast processing of machine learning models, allowing applications such as image recognition, voice assistants, and autonomous vehicles to operate more efficiently.

Machine Learning Training

The T4’s computational power, coupled with its 16GB memory, provides excellent performance in training deep learning models. It accelerates tasks such as convolutional neural network (CNN) and recurrent neural network (RNN) training, ensuring faster convergence and reduced model training times.

Integration and Compatibility

Seamless Integration with HPE Servers

The HPE P09571-001 Nvidia T4 is fully compatible with HPE’s extensive portfolio of servers, including HPE ProLiant and HPE Apollo series. This ensures that the accelerator can be easily integrated into existing HPE-based infrastructures, maximizing the performance of your data center and computational resources.

CUDA and Deep Learning Libraries

For developers and data scientists, the T4 16GB accelerator comes with full support for Nvidia CUDA, the parallel computing platform that allows developers to harness the full power of the GPU. Additionally, it supports Nvidia’s deep learning libraries, such as cuDNN and TensorRT, to optimize machine learning and AI workloads.

Cost-Effectiveness and ROI

Affordable High-Performance Computing

Despite its cutting-edge technology, the HPE P09571-001 Nvidia T4 16GB Computational Accelerator offers a cost-effective solution for businesses looking to boost their computational capabilities without a significant investment. Its ability to accelerate workloads at a fraction of the cost of traditional CPUs or higher-end GPUs makes it an ideal option for organizations seeking to maximize their return on investment (ROI).

Reduced Operational Costs

With its low power consumption and high performance, the Nvidia T4 helps reduce operational costs associated with high-energy-demand workloads. By optimizing power efficiency, businesses can lower their electricity bills while running high-performance tasks 24/7, making it a sustainable solution for long-term usage.

Future-Proof Investment

The Nvidia T4 is built to handle the future demands of AI, machine learning, and big data analytics. By choosing the HPE P09571-001, businesses can ensure that they are investing in a future-proof solution that will continue to provide excellent performance as technologies evolve and computational requirements grow.

Scalability for Growing Enterprises

As enterprises expand and their computational needs grow, the HPE P09571-001 Nvidia T4 allows for easy scaling. Whether you are deploying a few units for a small project or hundreds of accelerators for a large data center, the T4 can scale seamlessly to meet evolving performance demands.

Perfect for Edge Computing

For edge computing applications where low-latency processing is critical, the Nvidia T4 16GB accelerator stands out. Its ability to handle AI inference and real-time data processing with minimal delay makes it an ideal solution for edge devices such as autonomous vehicles, smart sensors, and IoT devices.

HPE Support and Warranty

Purchasing the HPE P09571-001 Nvidia T4 also ensures that businesses receive support from HPE’s industry-leading customer service team. Whether it’s installation, integration, or troubleshooting, HPE’s expert support ensures that your accelerator operates at peak performance throughout its lifecycle.