HPE P05471-B21 Nvidia Tesla V100 Pcie 32GB Computational Accelerator
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HPE P05471-B21 Nvidia Tesla V100 PCIe 32GB Computational Accelerator
Advanced Solutions for Complex Workloads
The HPE P05471-B21 Nvidia Tesla V100 PCIe 32GB is tailored to meet the rigorous demands of deep learning, high-performance computing (HPC), and advanced graphics applications. Traditional CPU-based systems struggle with increasingly complex computational models, making Nvidia GPU accelerators essential for seamless integration with HPE ProLiant servers.
Outstanding Features
Enhanced Performance
- Faster Computations: Delivers significantly accelerated processing for parallel computing tasks.
- Power Efficiency: Optimized for energy-saving supercomputing without compromising performance.
- Seamless Integration: Perfectly complements HPE ProLiant servers for scalable and reliable operations.
Revolutionary Graphics Capabilities
- Virtualized Graphics: Supports Nvidia GRID and Quadro GPUs for rich virtual environments.
- Improved Display Rates: Enables smooth refresh rates and enhanced 3D visual fidelity for demanding models.
Technical Specifications
Performance Metrics
- Double Precision (FP64): Up to 7 TFLOPS.
- Single Precision (FP32): Reaches 14 TFLOPS for intensive processing tasks.
- CUDA Cores: Equipped with 5,120 cores for advanced parallelism.
Memory and Bandwidth
- Memory Capacity: 32 GB of high-bandwidth HBM2 memory per GPU.
- Bandwidth: Delivers a maximum throughput of 900 GB/s for efficient data transfer.
Applications and Use Cases
Diverse Workload Optimization
- Deep Learning: Ideal for training complex AI models.
- HPC Workloads: Excels in memory-intensive and compute-bound tasks.
- Analytics and Databases: Accelerates large-scale data and graphics operations.
Seamless Management
- GPU Monitoring: HPE Insight CMU tracks GPU health, temperature, and resource utilization.
- Software Deployment: Simplifies driver and CUDA software installation and provisioning.
System Compatibility
Optimized for HPE Infrastructure
- Compatible Servers: Designed for HPE ProLiant XL270d Gen10 servers.
- Integrated Solutions: Supports Nvidia GRID software through HPE Complete.
Overview of HPE P05471-B21 Nvidia Tesla V100 PCIe 32GB Computational Accelerator
Introduction to the HPE P05471-B21 Accelerator
The HPE P05471-B21 Nvidia Tesla V100 PCIe 32GB Computational Accelerator represents a pinnacle of GPU technology, offering exceptional computational power for high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) workloads. Designed in collaboration with Nvidia, this accelerator combines the innovative Nvidia Volta architecture with HPE’s expertise in server solutions, providing a robust platform for demanding enterprise applications.
Key Features of the Nvidia Tesla V100 Accelerator
- Manufacturer: Hewlett Packard Enterprise (HPE)
- Part Number / SKU: P05471-B21
- GPU Architecture: Nvidia Volta
- Memory Capacity: 32GB High-Bandwidth Memory (HBM2)
- Interface: PCI Express (PCIe)
- Performance: 7.8 teraflops (double precision), 125 teraflops (deep learning)
- Applications: AI, deep learning, scientific simulations, data analytics, and virtualization
- Efficiency: Tensor Cores for accelerated matrix operations
Technical Specifications
Volta GPU Architecture
The HPE P05471-B21 Nvidia Tesla V100 utilizes the Volta architecture, designed specifically for AI and HPC workloads. Volta’s advanced features, including Tensor Cores, enable it to perform matrix computations at unprecedented speeds, delivering up to 125 teraflops of deep learning performance. This architecture is engineered to handle complex algorithms and large-scale computations with exceptional efficiency.
High-Bandwidth Memory (HBM2)
Equipped with 32GB of HBM2, the Tesla V100 accelerator provides the high-speed memory necessary for data-intensive tasks. This memory configuration ensures quick access to large datasets, reducing latency and improving overall system responsiveness. The HBM2 architecture offers a bandwidth of over 900 GB/s, enabling seamless processing of massive datasets in real time.
PCIe Connectivity
The PCIe interface allows for seamless integration of the Nvidia Tesla V100 into a variety of server environments. By utilizing the high-speed PCIe interface, the accelerator facilitates rapid communication with the host system, ensuring that data transfers occur without bottlenecks. This makes it an ideal choice for multi-GPU setups and scalable deployments in data centers.
Applications and Workload Optimization
Artificial Intelligence and Deep Learning
The HPE P05471-B21 Nvidia Tesla V100 is a cornerstone of AI development. Its Tensor Cores are optimized for deep learning frameworks, accelerating tasks such as neural network training and inferencing. The ability to process complex algorithms and massive datasets makes it an essential tool for AI researchers and enterprises deploying machine learning models.
High-Performance Computing (HPC)
In scientific research and HPC environments, the Tesla V100 excels at performing complex simulations and solving intricate computational problems. Fields such as climate modeling, molecular dynamics, and astrophysics benefit significantly from the accelerator’s ability to process high-precision calculations at unparalleled speeds.
Data Analytics
Modern businesses rely on data analytics to gain actionable insights. The HPE P05471-B21 Nvidia Tesla V100 enables rapid analysis of large datasets, helping organizations make data-driven decisions in real time. Its ability to handle analytics workloads efficiently makes it an indispensable asset for industries such as finance, healthcare, and retail.
Virtualization and Cloud Workloads
The Tesla V100 is well-suited for virtualization environments, offering the computational power needed to support virtual machines and cloud-native applications. Its performance and scalability ensure that enterprises can maintain smooth operations while delivering high-quality user experiences.
Performance and Efficiency
Tensor Cores for AI Acceleration
The integration of Tensor Cores within the Tesla V100 allows for dramatic acceleration of AI workloads. These cores are specifically designed to perform mixed-precision matrix computations, enabling faster training and inferencing of machine learning models. This efficiency helps organizations deploy AI solutions more quickly and cost-effectively.
Energy Efficiency
Despite its high-performance capabilities, the HPE P05471-B21 Nvidia Tesla V100 is engineered for energy efficiency. Its architecture ensures that computational power is maximized while power consumption is minimized, reducing operational costs and environmental impact. This makes it an ideal choice for businesses aiming to balance performance with sustainability.
Deployment Scenarios
Enterprise Data Centers
The Tesla V100 is a natural fit for enterprise data centers, where performance, reliability, and scalability are critical. Its compatibility with HPE’s server ecosystem ensures seamless deployment and optimal performance, making it a valuable addition to any high-performance infrastructure.
Cloud Computing
In cloud environments, the HPE P05471-B21 Nvidia Tesla V100 delivers the scalability and flexibility needed to support diverse workloads. Whether used for AI model training, data analytics, or HPC tasks, the Tesla V100 enables cloud service providers to deliver superior performance to their customers.
Scientific Research Labs
Research labs requiring high-performance computing capabilities can benefit significantly from the Tesla V100. Its ability to handle simulations, solve complex equations, and process massive datasets makes it an indispensable tool for advancing scientific discovery and innovation.
AI Startups and Enterprises
AI-driven startups and enterprises can leverage the Tesla V100 to accelerate their development cycles. From training sophisticated neural networks to deploying AI solutions at scale, the accelerator provides the computational power needed to stay ahead in a competitive market.
Advantages of the HPE P05471-B21 Nvidia Tesla V100
Scalability
The modular design of the Tesla V100 allows organizations to scale their computational resources as needed. Whether deploying a single GPU or a cluster of accelerators, businesses can expand their capabilities without compromising performance.
Comprehensive Support for Frameworks
The Tesla V100 supports a wide range of AI and HPC frameworks, including TensorFlow, PyTorch, and Caffe. This compatibility ensures that developers can seamlessly integrate the accelerator into their existing workflows, enabling faster development and deployment.
Future-Proofing
With its advanced architecture and robust feature set, the Tesla V100 provides a future-proof solution for organizations investing in AI and HPC. Its performance capabilities ensure that it can meet the demands of current and future workloads, protecting IT investments over the long term.
Maintenance and Support
Comprehensive HPE Support
HPE provides extensive support for the P05471-B21 Nvidia Tesla V100, including software updates, technical assistance, and troubleshooting resources. This ensures that businesses can maintain optimal performance and address any issues quickly.
Warranty Options
The Tesla V100 is backed by HPE’s robust warranty program, with options for extended coverage. This provides peace of mind, knowing that the investment is protected against potential hardware issues.
Conclusion
- Advanced Volta architecture for unparalleled performance
- 32GB HBM2 memory for efficient data handling
- Optimized for AI, HPC, and data analytics
- Energy-efficient design for reduced operational costs
- Scalable and compatible with HPE server solutions