P53464-001 HPE Nvidia Tesla A10M 20GB GDDR6 GPU

Highlights of HPE 20GB GDDR6 GPU

The HPE P53464-001 Nvidia Tesla A10M 20GB GDDR6 GPU is a professional-grade graphics accelerator designed for advanced computing, machine learning, and high-resolution rendering tasks.

General Information

• Brand Name: HPE
• Model Number: P53464-001
• Product Type: Graphics Card

Technical Specifications

GPU Architecture & Performance

• Architecture: Nvidia Tesla A10M
• Base Frequency: 885 MHz
• Boost Frequency: 1695 MHz
• Memory Clock Speed: 1563 MHz

Memory Details

• Memory Type: GDDR6
• Installed VRAM: 20 GB
• Bus Width: 256-bit
• Bandwidth: 400 GB/s

Connectivity & Expansion

• Interface: PCI Express 4.0 x16

Power Requirements

• Maximum Power Draw: 150W
• Connector Type: 8-pin PCIE

Enterprise Data Center 20GB GDDR6 GPU Category Overview

The HPE P53464-001 NVIDIA Tesla A10M 20GB GDDR6 PCIe Graphics Card belongs to the enterprise data center GPU category designed to accelerate compute-intensive, graphics-rich, and AI-driven workloads within modern server environments. This category focuses on professional-grade GPUs optimized for reliability, virtualization, scalability, and long-term operational stability. Unlike consumer graphics solutions, enterprise GPUs are engineered to operate continuously under heavy load while maintaining predictable performance, error correction, and platform certification.

Within this category, GPUs such as the NVIDIA Tesla A10M are widely deployed in HPE ProLiant and Apollo server infrastructures where workload density, power efficiency, and flexible deployment are critical. These accelerators serve as foundational components for hybrid data centers, private clouds, and edge computing environments that require both graphics processing and general-purpose GPU acceleration.

NVIDIA Tesla A10M Architecture and Design Philosophy

Ampere-Based GPU Engineering

The NVIDIA Tesla A10M is built on the NVIDIA Ampere architecture, which represents a significant evolution in GPU design for enterprise and data center applications. Ampere architecture introduces enhanced CUDA core efficiency, improved memory bandwidth handling, and advanced hardware-level scheduling capabilities. These architectural advancements allow the A10M to deliver consistent throughput across mixed workloads that combine graphics rendering, compute acceleration, and AI inference.

The design philosophy behind Ampere-based GPUs emphasizes versatility. The Tesla A10M is engineered to function as a multi-purpose accelerator capable of supporting virtualized graphics environments, compute workloads, and AI pipelines without requiring separate dedicated hardware.

Optimized PCIe Form Factor

The PCIe form factor of the HPE P53464-001 NVIDIA Tesla A10M allows seamless integration into standard enterprise server platforms. This design ensures compatibility with existing server backplanes and simplifies deployment within dense rack configurations. The PCIe interface provides high-bandwidth communication between the GPU and host CPU, enabling efficient data transfer for latency-sensitive workloads.

Memory Architecture and GDDR6 Key Characteristics

20GB GDDR6 Memory Capacity

The Tesla A10M features 20GB of high-speed GDDR6 memory, positioning it within a category of GPUs designed to handle memory-intensive workloads. This memory capacity supports large datasets, complex 3D models, high-resolution textures, and multi-user virtual desktop environments. In enterprise deployments, ample GPU memory reduces bottlenecks associated with data swapping and enables smoother workload execution.

GDDR6 memory technology provides higher bandwidth and improved power efficiency compared to earlier memory generations. This ensures that the GPU maintains stable performance even during sustained workloads common in enterprise environments.

Error Detection and Reliability Considerations

Enterprise GPU memory design prioritizes reliability and data integrity. The Tesla A10M is engineered to support error detection and correction mechanisms that reduce the risk of data corruption during long-running tasks. This is particularly critical in professional visualization, simulation, and AI inference environments where accuracy and consistency are essential.

Virtualization and Multi-User GPU Capabilities

GPU Virtualization Support

The NVIDIA Tesla A10M is designed to support GPU virtualization technologies that enable multiple virtual machines or users to share GPU resources efficiently. In enterprise data centers, GPU virtualization allows organizations to maximize hardware utilization while delivering consistent performance to each user or application.

When deployed within HPE server platforms, the A10M supports virtual desktop infrastructure environments where multiple users access high-performance graphics remotely. This capability is essential for engineering teams, designers, and analysts who rely on graphics-intensive applications delivered from centralized data centers.

Multi-Tenant Workload Isolation

Workload isolation is a key requirement in shared enterprise environments. The Tesla A10M category supports hardware-level resource partitioning that helps ensure predictable performance for each workload. This enables service providers and internal IT teams to offer GPU-accelerated services without performance degradation caused by resource contention.

AI Inference and Machine Learning Acceleration

Inference-Focused Performance Optimization

The NVIDIA Tesla A10M is well-suited for AI inference workloads that require efficient processing of trained models in production environments. Ampere architecture enhancements improve throughput for common inference operations, making this GPU an effective solution for deploying AI-powered services at scale.

In enterprise settings, AI inference workloads often coexist with traditional applications. The Tesla A10M category supports this mixed-use model by delivering balanced performance without excessive power consumption.

Support for Modern AI Frameworks

Enterprise GPUs in this category are compatible with widely used AI frameworks and libraries. This ensures that organizations can deploy and maintain AI applications using familiar development tools while benefiting from hardware acceleration. The Tesla A10M integrates seamlessly into existing AI pipelines, reducing deployment complexity and accelerating time to value.

Professional Graphics and Visualization Workloads

High-Resolution Rendering Capabilities

The Tesla A10M category supports professional visualization workloads that demand high-resolution rendering and smooth frame delivery. These capabilities are essential for industries such as architecture, engineering, media production, and scientific visualization. The GPU’s memory capacity and processing power enable detailed rendering of complex scenes without compromising performance.

Remote Visualization in Data Centers

Remote visualization is a growing requirement in modern enterprises where teams collaborate across distributed locations. The Tesla A10M supports centralized graphics processing, allowing users to access powerful visualization tools from thin clients or remote workstations. This approach improves security, simplifies IT management, and reduces the need for high-end local hardware.

Power Efficiency and Thermal Management

Optimized Power Consumption

Power efficiency is a defining characteristic of enterprise GPU categories. The Tesla A10M is engineered to deliver strong performance within controlled power envelopes, making it suitable for dense server deployments. Efficient power usage reduces operational costs and supports sustainability initiatives within data centers.

Thermal Design for Continuous Operation

Thermal management is critical for GPUs operating in high-density server environments. The Tesla A10M is designed to maintain stable temperatures under continuous load, ensuring long-term reliability. Proper thermal design also contributes to predictable performance, which is essential for mission-critical applications.

HPE Platform Integration and Compatibility

Certified for HPE Server Ecosystems

The HPE P53464-001 NVIDIA Tesla A10M is validated for compatibility with HPE server platforms, ensuring seamless integration and reliable operation. Certification within the HPE ecosystem simplifies deployment and reduces the risk of compatibility issues. This alignment allows organizations to leverage HPE support and management tools effectively.

Integration with HPE Management Solutions

Enterprise deployments benefit from centralized monitoring and management. The Tesla A10M category integrates with HPE management frameworks, enabling administrators to monitor GPU health, performance, and utilization. This visibility supports proactive maintenance and optimized resource allocation.

Scalability and Future-Proofing Considerations

Supporting Growing Workload Demands

The enterprise GPU category represented by the Tesla A10M is designed to scale with organizational needs. As workloads grow in complexity and volume, additional GPUs can be deployed within existing server infrastructures. This scalability allows organizations to expand capabilities without overhauling their entire hardware environment.

Alignment with Emerging Technologies

Modern enterprise GPUs are developed with an eye toward future technology trends. The Tesla A10M aligns with evolving standards in AI, virtualization, and cloud computing. This forward-looking design helps protect investments by ensuring compatibility with next-generation software and workloads.