HPE R9W59C Nvidia A10 Non-Cec Application Accelerator.

Product Overview: HPE R9W59C Nvidia A10 PCIe Non-CEC Accelerator

The HPE R9W59C Nvidia A10 PCIe Non-CEC Accelerator is a powerful, compact GPU designed for high-performance tasks. Built for flexibility and scalability, it supports a wide range of applications in graphics, video processing, and artificial intelligence (AI).

System Compatibility

• HPE Apollo 6500 XL645d Gen10 Plus
• HPE Apollo 6500 XL675d Gen10 Plus

Architecture and Performance

The Nvidia A10 GPU combines efficiency and versatility, ensuring high performance across various workloads. Its 150W single-slot design, coupled with NVIDIA Virtual GPU (vGPU) software, supports multiple data center tasks, from Virtual Desktop Infrastructure (VDI) to AI-driven processes.

Key Features of Nvidia A10 GPU

• Accelerates diverse workloads, including AI and graphics-rich VDI
• Compact and power-efficient with a single-slot, 150W design
• Flexible and secure infrastructure that scales with your needs

Applications

This GPU accelerator is perfect for professionals in fields such as:

• Graphics Design and 3D Rendering
• Video Processing and Editing
• Artificial Intelligence and Machine Learning

Memory Specifications

• Memory Size: 24GB GDDR6
• Memory Bandwidth: 600 GB/s

Physical and Technical Specifications

• Number of Accelerators per Card: 1
• Weight: 0.55 kg (1.21 lb)
• Dimensions: 1.73 x 24.13 x 11.1 cm (0.68 x 10.51 x 4.37 in)

Platform Support

The HPE R9W59C Nvidia A10 Accelerator is fully supported on HPE specialized compute platforms, ensuring seamless integration with your existing infrastructure.

HPE R9W59C Nvidia A10 Peripheral Component Interconnect Express (PCI-E) Non-CEC Application Accelerator

The HPE R9W59C Nvidia A10 PCI-E Non-CEC Application Accelerator is a high-performance computing solution designed for modern data centers. Featuring the powerful Nvidia A10 GPU, this device enhances computational workloads, machine learning models, virtual desktop infrastructure (VDI), and high-performance applications. It provides unmatched performance and efficiency, offering enterprises a robust solution for accelerating their workflows.

Overview of the Nvidia A10 GPU

The Nvidia A10 GPU is engineered to meet the evolving demands of hybrid data centers. It combines high GPU performance, AI capabilities, and hardware-based virtualization, making it an essential component for high-performance tasks. With the ability to support multiple virtual desktops and powerful AI inference, the Nvidia A10 is suitable for diverse applications, including deep learning, virtualized computing, and complex rendering tasks.

Key Features and Specifications

• GPU Architecture: Nvidia Ampere architecture, provides significant improvements in performance and efficiency over previous generations.
• Memory: 24 GB GDDR6 memory for handling large datasets and resource-intensive tasks.
• Form Factor: PCI Express Gen4 x16 for fast data transfer and broad compatibility with modern server platforms.
• AI and Machine Learning Optimization: Built-in Tensor Cores for accelerated deep learning inference and AI-based applications.
• Virtualization Support: Compatible with Nvidia vGPU technology, enabling multiple users to access the GPU simultaneously for virtual desktop environments.

Applications of the HPE R9W59C Nvidia A10 PCI-E Accelerator

This application accelerator caters to a wide range of industries and uusescases. Whether for artificial intelligence, VDI, or data analytics, it delivers high performance and reliability.

1. Artificial Intelligence and Machine Learning

For AI and machine learning workloads, the Nvidia A10 is an ideal choice. Its Tensor Cores and high memory capacity ensure accelerated model training and inference. Data scientists can take advantage of its computational power to process large datasets and optimize machine learning models efficiently.

2. Virtual Desktop Infrastructure (VDI)

Virtual desktop infrastructure is becoming increasingly important for businesses looking to support remote work and secure data access. The Nvidia A10 offers hardware-based virtualization, allowing multiple virtual desktops to run on a single GPU. This reduces hardware costs and improves user experience for remote workers.

3. 3D Rendering and Visual Computing

In industries such as media, entertainment, and architecture, 3D rendering and visual computing are crucial tasks. The Nvidia A10 provides the computational power needed for fast rendering, ensuring that creative professionals can meet tight deadlines and produce high-quality results.

Rendering Performance and Efficiency

With its Ampere architecture and high memory bandwidth, the Nvidia A10 significantly improves rendering times. It supports ray tracing and advanced shading techniques, delivering photorealistic results in less time.

4. High-Performance Data Analytics

Data-driven organizations rely on powerful hardware for analyzing large datasets. The HPE R9W59C Nvidia A10 application accelerator helps organizations accelerate their data analytics processes, reducing time to insights and improving decision-making.

Compatibility and Integration

The HPE R9W59C Nvidia A10 PCI-E Non-CEC Application Accelerator is designed for seamless integration into HPE servers and other compatible platforms. It supports various operating systems, including Windows Server, Linux distributions, and virtualization platforms like VMware and Citrix. Its PCI Express Gen4 interface ensures fast data transfer and broad compatibility with modern server architectures.

Supported Platforms

• HPE ProLiant Servers
• VMware vSphere
• Citrix Hypervisor
• Red Hat Enterprise Linux
• Microsoft Windows Server

Benefits of the HPE R9W59C Nvidia A10 for Enterprises

Enterprises that adopt the HPE R9W59C Nvidia A10 accelerator benefit from improved performance, enhanced scalability, and reduced operational costs. This accelerator empowers organizations to scale their computational resources while maintaining efficiency and reliability.

1. Enhanced Scalability

With support for Nvidia vGPU technology, enterprises can scale their virtual desktop environments and AI workloads easily. Multiple users can share a single GPU, optimizing resource utilization and reducing hardware expenses.

2. Increased Efficiency

The Ampere architecture's power efficiency ensures that enterprises can run resource-intensive workloads without excessive power consumption. This reduces operational costs and environmental impact.

3. Robust Security

Virtualized environments can pose security risks, but the Nvidia A10 mitigates these with its hardware-based virtualization and support for secure virtual desktop environments. Enterprises can ensure data integrity and compliance while providing a high-performance computing experience.

Secure Multi-Tenancy

The Nvidia A10 supports secure multi-tenancy, allowing multiple users to share the GPU while maintaining isolation and security. This is essential for organizations that need to protect sensitive data in virtualized environments.