HPE P05470-001 Nvidia Tesla V100 Pcie 32GB Computational Accelerator

HPE P05470-001 Nvidia Tesla V100 PCIe 32GB Computational Accelerator

Unparalleled Performance for High-Demand Applications

The HPE P05470-001 Nvidia Tesla V100 PCIe 32GB is purpose-built to address the increasing needs of deep learning, high-performance computing (HPC), and advanced graphics processing. With the growing complexity of computational models, traditional CPUs fall short, making Nvidia GPU accelerators a game-changing solution for seamless integration with HPE ProLiant servers.

Key Features

Revolutionary Computational Power

• Effortless Acceleration: Offers significantly improved speeds for parallel processing tasks.
• Energy-Efficient Design: Provides high-performance computing while minimizing power consumption.
• Integrated Compatibility: Optimized for HPE ProLiant servers to enhance efficiency and scalability.

Advanced Graphics and Visualization

• Virtualized Graphics Support: Leverages Nvidia GRID and Quadro GPUs for enhanced virtual environments.
• Smooth Visual Output: Delivers improved display refresh rates and exceptional 3D model fidelity.

Technical Specifications

Processing Power

• Double Precision Performance: Achieves up to 7 TFLOPS.
• Single Precision Performance: Reaches up to 14 TFLOPS for intensive computations.
• CUDA Core Count: Includes 5,120 cores for superior parallel computing.

Memory and Data Bandwidth

• Memory Capacity: Features 32 GB of HBM2 high-bandwidth memory per GPU.
• Bandwidth: Offers a data transfer rate of 900 GB/s, ensuring seamless throughput for complex operations.

Applications and Benefits

Optimized for Varied Use Cases

• AI and Machine Learning: Accelerates the training of intricate deep learning models.
• HPC Simulations: Excels in compute-intensive and memory-heavy tasks, such as scientific simulations.
• Big Data and Analytics: Speeds up database processing and graphical analytics workloads.

Comprehensive Management Tools

• GPU Monitoring: Managed via HPE Insight Cluster Management Utility (CMU) for real-time health and temperature tracking.
• Software Installation: Simplifies GPU driver and CUDA software deployment.

System Compatibility

Built for HPE Ecosystem

• Server Integration: Specifically designed for HPE ProLiant XL270d Gen10 servers.
• Enhanced Software Support: Enables Nvidia GRID functionality via HPE Complete solutions.

Comprehensive Overview of HPE P05470-001 Nvidia Tesla V100 PCIe 32GB Computational Accelerator

Overview of the HPE P05470-001 Nvidia Tesla V100

The HPE P05470-001 Nvidia Tesla V100 PCIe 32GB Computational Accelerator stands as a benchmark in high-performance computing (HPC), artificial intelligence (AI), and deep learning technologies. Powered by Nvidia's Volta architecture, this computational accelerator delivers exceptional capabilities for enterprises looking to enhance their AI workloads, simulations, and data-intensive applications. The inclusion of 32GB HBM2 memory and PCIe connectivity ensures it meets the demands of modern data centers and scientific research facilities.

Key Features of the Nvidia Tesla V100 PCIe Accelerator

• Manufacturer: Hewlett Packard Enterprise (HPE)
• Part Number / SKU: P05470-001
• GPU Architecture: Nvidia Volta
• Memory Capacity: 32GB High-Bandwidth Memory (HBM2)
• Interface: PCI Express (PCIe)
• Performance: Up to 125 teraflops for AI workloads
• Applications: AI, machine learning, HPC, data analytics, and scientific simulations
• Tensor Cores: Optimized for deep learning acceleration

Technical Insights into the HPE P05470-001 Accelerator

Nvidia Volta Architecture

The foundation of the HPE P05470-001 is Nvidia's revolutionary Volta architecture. This architecture features Tensor Cores, which are designed to deliver unmatched performance in AI and HPC workloads. It supports mixed-precision operations, allowing the Tesla V100 to achieve higher throughput for AI model training and inference while maintaining precision and reliability.

High-Bandwidth Memory (HBM2)

With 32GB of HBM2 memory, the Tesla V100 provides the bandwidth needed for high-performance applications. The memory operates at speeds exceeding 900 GB/s, ensuring rapid data access for computational tasks. This feature is particularly valuable for workloads involving large datasets, such as genomic analysis, climate modeling, and financial simulations.

PCIe Interface

The PCIe interface ensures seamless integration into existing server environments. Supporting high-speed data transfers, this interface is critical for reducing latency and maximizing throughput. The PCIe connectivity also facilitates scalability, enabling organizations to deploy multiple GPUs for larger workloads without compromising performance.

Applications and Use Cases

Artificial Intelligence and Deep Learning

The Tesla V100 is specifically designed to handle the rigorous demands of AI and deep learning. Its Tensor Cores enable faster training of neural networks, significantly reducing the time required to build and deploy AI models. Industries such as healthcare, autonomous driving, and finance can leverage its capabilities for advancements in machine learning and predictive analytics.

High-Performance Computing (HPC)

In the realm of HPC, the HPE P05470-001 Nvidia Tesla V100 excels in running complex simulations and solving intricate problems. Fields such as astrophysics, weather forecasting, and engineering simulations benefit from its double-precision capabilities, allowing researchers to achieve accurate and reliable results faster.

Data Analytics

The Tesla V100 is invaluable for organizations relying on data analytics to derive actionable insights. By accelerating data processing and visualization tasks, it empowers businesses to make real-time decisions based on accurate and comprehensive analysis. This is particularly critical in retail, financial services, and telecommunications.

Scientific Research

Scientific institutions can utilize the Tesla V100 for a variety of applications, including molecular dynamics, genomics, and drug discovery. Its ability to process massive datasets quickly ensures researchers can focus on innovation and discovery rather than computational limitations.

Performance and Scalability

Tensor Cores for AI Acceleration

The inclusion of Tensor Cores makes the Tesla V100 a game-changer in AI. These cores optimize matrix computations, a critical component of AI training and inference. This results in faster processing times, enabling businesses to deploy AI models and algorithms more efficiently.

Energy Efficiency

The Tesla V100 is designed to deliver high performance while maintaining energy efficiency. Its architecture minimizes power consumption without compromising computational capabilities, making it an environmentally friendly option for enterprises seeking to reduce operational costs.

Multi-GPU Scalability

Organizations requiring additional computational power can deploy multiple Tesla V100 GPUs in parallel. This scalability ensures that enterprises can handle increasing workloads and expand their capabilities without investing in entirely new systems.

Compatibility and Integration

Seamless Integration with HPE Ecosystem

The HPE P05470-001 is fully compatible with HPE’s extensive portfolio of servers and storage solutions. This ensures that enterprises can seamlessly integrate the Tesla V100 into their existing IT infrastructure, maximizing ROI and simplifying deployment.

Support for AI Frameworks

The Tesla V100 supports popular AI frameworks, including TensorFlow, PyTorch, and MXNet. This compatibility allows developers to leverage the full potential of the GPU without extensive reconfiguration, accelerating time-to-market for AI applications.

Energy Efficiency and Cost Management

Optimized Power Consumption

Despite its robust performance, the Tesla V100 is engineered to operate efficiently, reducing energy costs for businesses. This makes it a sustainable choice for enterprises aiming to balance computational needs with environmental considerations.

Lower Total Cost of Ownership (TCO)

The high performance and scalability of the Tesla V100 translate into a lower TCO. By enabling organizations to achieve more with fewer resources, the Tesla V100 reduces the need for additional infrastructure investments, providing significant cost savings over time.

Deployment Scenarios

Enterprise Data Centers

The Tesla V100 is ideal for enterprise data centers, where reliability and scalability are paramount. Its ability to handle diverse workloads makes it a versatile addition to any high-performance computing environment.

Cloud Computing

In cloud environments, the Tesla V100 provides the flexibility and performance needed to support a wide range of applications. Its efficiency and scalability make it a popular choice for cloud service providers and enterprises adopting hybrid cloud models.

Edge Computing

The compact design and powerful capabilities of the Tesla V100 make it suitable for edge computing scenarios. It enables real-time data processing and analytics at the edge, supporting applications such as IoT and autonomous vehicles.

Scientific Research Facilities

Scientific institutions rely on the Tesla V100 for tasks ranging from genome sequencing to climate modeling. Its ability to process complex data quickly ensures that researchers can focus on their findings rather than computational constraints.

Support and Maintenance

Comprehensive HPE Support

HPE provides extensive support for the P05470-001, including software updates, technical assistance, and troubleshooting resources. This ensures that organizations can maintain optimal performance and address issues promptly.

Warranty Options

The Tesla V100 is backed by HPE’s robust warranty program, with options for extended coverage. This offers peace of mind, knowing that hardware investments are protected against potential defects and failures.

Summary of Benefits

• Advanced Nvidia Volta architecture with Tensor Cores
• 32GB HBM2 memory for high-speed data access
• Optimized for AI, HPC, and data analytics workloads
• Energy-efficient design reduces operational costs
• Seamless integration with HPE servers and IT ecosystems
• Scalable design supports multi-GPU configurations