HPE R9S37C Nvidia A40 48GB GPU Noncec Accelerator

Overview of HPE Nvidia A40 48GB PCIe Computational Accelerator Graphic Card

• Manufacturer: HPE
• Part Number: R9S37C
• Product Name: NVIDIA A40 48GB PCIe Computational Accelerator
• Product Type: Graphic Card

Key Features and Specifications

Performance Highlights

• Chipset Manufacturer: NVIDIA
• Chipset Model: A40
• AI-powered capabilities for advanced computation
• CUDA Cores: 10,752
• Maximum Memory Bandwidth: 696 GB/s
• Multi-GPU Technology: NVLink

Memory Features

• Memory Type: GDDR6
• Total Memory Capacity: 48 GB

Interface and Compatibility

• Host Interface: PCI Express 5.0
• Slot Space Requirement: Dual-slot
• Supported Platforms: PC, Linux

Physical Characteristics

Dimensions

• Height: 1.4 inches
• Width: 4.4 inches
• Length: 10.5 inches

Form Factor

• Plug-in card design for easy installation

Build Compatibility

• Designed for integration with modern PC and Linux systems

Enhanced Processing and Graphics Capabilities

Advanced GPU Performance

• Optimized for high-demand computational tasks
• Ideal for AI-driven workloads and professional rendering

AI-Driven Efficiency

• Accelerated performance for artificial intelligence and machine learning
• Exceptional memory and bandwidth for data-heavy tasks

HPE R9S37C Nvidia A40 48GB GPU Noncec Accelerator Overview

The HPE R9S37C Nvidia A40 48GB GPU Noncec Accelerator represents a significant advancement in data center-grade computing. Designed for high-performance workloads, this GPU accelerator combines powerful Nvidia Ampere architecture with enterprise-level reliability. It addresses the demands of modern AI, data analytics, virtual desktop infrastructure (VDI), and graphic rendering applications, providing an essential tool for professionals and enterprises seeking cutting-edge technology.

Key Features of the HPE R9S37C Nvidia A40 GPU

The HPE R9S37C Nvidia A40 GPU packs a multitude of features aimed at delivering unmatched performance:

• Massive 48GB GDDR6 Memory: Supports large datasets and complex models essential for AI training and inference.
• Nvidia Ampere Architecture: Enhanced Tensor Cores and RT Cores improve deep learning and rendering performance.
• PCIe 4.0 Support: Offers faster data transfer speeds and reduces latency for compute-intensive workloads.
• Enterprise-Grade Reliability: Built with rigorous standards for 24/7 operational demands.
• Multi-Instance GPU (MIG) Technology: Enables optimal utilization by partitioning the GPU into multiple independent instances.

Advanced Graphics and Rendering Capabilities

The Nvidia A40 excels in delivering high-quality visuals for rendering and simulation. Powered by Nvidia RTX technology, it provides real-time ray tracing and AI-based enhancements for graphics professionals. The massive memory and precision computing capabilities make it ideal for applications like 3D modeling, CAD, and virtual reality (VR) workflows.

AI and Machine Learning Acceleration

The inclusion of next-generation Tensor Cores allows the HPE R9S37C Nvidia A40 to handle AI tasks with exceptional efficiency. It supports mixed-precision computing, reducing computational overhead without compromising accuracy. This is particularly useful in deep learning models, natural language processing, and advanced analytics.

Scalable Solutions for AI Workloads

With Multi-Instance GPU (MIG) capabilities, the Nvidia A40 can be shared across multiple AI workloads, maximizing resource utilization. This scalability ensures that organizations can optimize their infrastructure for diverse machine-learning tasks, from training to deployment.

Virtual Desktop Infrastructure (VDI) and Collaboration

The HPE R9S37C Nvidia A40 GPU is optimized for remote work environments, offering enhanced virtual desktop infrastructure (VDI) capabilities. Its powerful hardware accelerates graphical performance, enabling seamless collaboration and productivity in creative workflows. It supports multiple virtual machines (VMs), ensuring users can run demanding applications without compromise.

Improved VDI User Experience

Thanks to its hardware-accelerated video encoding and decoding, the Nvidia A40 provides a superior multimedia experience. Creative professionals and engineers benefit from smooth application performance, whether they are rendering complex designs or editing high-resolution videos in real-time.

Data Center Integration and Deployment

The HPE R9S37C Nvidia A40 is specifically designed for modern data centers. Its compact form factor and energy efficiency make it a viable choice for enterprises seeking to enhance their computational capabilities without increasing power and cooling demands.

PCIe 4.0 for Enhanced Connectivity

With support for PCIe 4.0, this GPU offers faster bandwidth compared to its predecessors, ensuring efficient communication with other system components. This improvement is crucial for high-performance computing (HPC) applications and large-scale simulations.

Reliability and Redundancy

The enterprise-grade design of the HPE R9S37C ensures reliability for continuous operation. Advanced thermal management systems prevent overheating, while error-correcting memory (ECC) enhances stability, making it a trusted component for mission-critical deployments.

Use Cases for the HPE R9S37C Nvidia A40 GPU

This GPU accelerator serves a wide array of use cases, including:

• AI and Deep Learning: Optimized for training and inference of large-scale AI models.
• Scientific Research: Supports HPC tasks such as simulations, molecular dynamics, and genome sequencing.
• Media and Entertainment: Enhances video editing, rendering, and virtual production workflows.
• Healthcare and Medical Imaging: Accelerates diagnostic imaging and computational biology processes.

AI and Deep Learning

For AI researchers and engineers, the Nvidia A40 is a game-changer. Its ability to handle mixed-precision tasks ensures efficient training and inference, reducing overall development time while maintaining accuracy.

Scientific Research and High-Performance Computing

The HPE R9S37C Nvidia A40 GPU powers scientific breakthroughs by providing the computational horsepower necessary for large-scale simulations and analyses. Its parallel processing capabilities make it ideal for researchers in various disciplines, from physics to climate science.

Supporting HPC Clusters

This GPU integrates seamlessly into HPC clusters, ensuring scalability for massive computational projects. Its robust design and energy-efficient operation minimize total cost of ownership (TCO) for research institutions and enterprises alike.

Specifications of the HPE R9S37C Nvidia A40 GPU

The technical specifications of this GPU highlight its performance and reliability:

• Architecture: Nvidia Ampere
• Memory: 48GB GDDR6
• Interface: PCIe 4.0
• TDP: 300W
• Supported Technologies: Multi-Instance GPU (MIG), Tensor Cores, RT Cores
• Max Displays: Up to 4 displays with 5K resolution

Comparative Advantages

Compared to its competitors, the HPE R9S37C Nvidia A40 GPU stands out due to its superior memory capacity, advanced architecture, and versatile application support. These features make it a preferred choice for organizations seeking high-end GPU solutions.

Environmental Impact and Energy Efficiency

Modern enterprises prioritize energy efficiency, and the HPE R9S37C Nvidia A40 delivers on this front. Its power-efficient design minimizes operational costs and contributes to sustainability goals. Features such as dynamic power adjustment and advanced cooling mechanisms further enhance its energy profile.

Green Data Center Initiative

In alignment with green computing principles, the Nvidia A40 supports initiatives aimed at reducing data center carbon footprints. By delivering high performance without excessive energy consumption, it helps enterprises meet their environmental objectives.