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Computer & Network CablesR9N62C HPE Nvidia 20GB GDDR6 Tesla A10M PCIE Graphics Card
R9N62C
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Brief Overview of R9N62C
HPE R9N62C Nvidia 20GB GDDR6 Tesla A10M PCIE Graphics Card. New Sealed in Box (NIB) with 3 Years Warranty
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Description
HPE R9N62C Nvidia 20GB GDDR6 Graphics Card
The HPE R9N62C Nvidia Tesla A10M 20GB GDDR6 PCIe graphics accelerator is engineered for next-generation compute environments that demand exceptional processing throughput, advanced GPU architecture, and robust memory performance. Designed to integrate seamlessly with modern HPE infrastructures, this high-efficiency accelerator empowers complex computational workloads, including machine learning inference, virtualization, graphics rendering, and data-driven applications.
General Information
- Manufacturer: HPE
- Part Number: R9N62C
- Product Type: Graphics Card
Technical Specification
- GPU Type: NVIDIA Tesla A10M
- Memory: 20GB GDDR6
- Interface: PCI Express
- Designed for enterprise productivity and advanced computational tasks.
Memory Specifications
- Standard Memory: 20GB GDDR6
- Memory Clock Speed: 1563 MHz
- Memory Bus Width: 256-bit
- Memory Bandwidth: 400 Gbps
- High-capacity storage buffer ideal for computational modeling and intensive rendering
Clock Speed Breakdown
- Base Frequency: 885 MHz
- Boost Frequency: 1695 MHz
- Precision-tuned clock management for optimized speed-to-power ratio
- Adaptive boost technology for demanding real-time rendering or compute operations
Connectivity Highlights
- Designed for PCIe Gen4 x16 compatibility
- Substantial improvement over PCIe Gen3 throughput
- Smoother communication between CPU and GPU under parallel workloads
- Supports enterprise-grade processing platforms and virtualized GPU deployments
Power & Cooling Benefits
- Maximum Power Draw: 150W
- Power Connector: 8-pin PCI-E
- Engineered for optimized thermals in dense server environments
- Lowers operational costs by minimizing heat generation and energy consumption
Ideal Workload Scenarios
- Machine learning inference and high-volume model evaluation
- 3D visualization, CAD workloads, and complex rendering tasks
- Virtual workstation deployments for remote professionals
- Scientific computing and data analytics pipelines.
Compatibility Notes
- Optimized for HPE platforms requiring Tesla A10M architecture
- Ideal for GPU-enabled virtualization environments
- Supports scalable compute clusters
- Manufacturer compatibility reference model: R0Q29C
HPE R9N62C Nvidia 20GB GDDR6 PCIE Graphics Card
At the heart of the HPE Tesla A10M lies Nvidia's groundbreaking Ampere architecture, specifically designed for scalable, efficient compute. This foundation delivers a monumental leap over previous generations, with third-generation Tensor Cores and enhanced RT Cores. The 20GB of high-speed GDDR6 memory, coupled with a wide memory interface, ensures rapid data ingestion and processing, which is paramount for large model training and inference. HPE's integration of this GPU into its ecosystem involves meticulous thermal design, firmware optimization, and compatibility validation with HPE ProLiant and Apollo servers, ensuring reliability and peak performance in 24/7 operational environments.
Key Architectural Advancements
These specialized cores are the engine of AI performance. They accelerate mixed-precision matrix operations, fundamental to deep learning training and inference, supporting TF32 and BFloat16 formats for dramatically faster model development without sacrificing accuracy. R9N62C A defining feature of the A10M category, MIG allows a single physical GPU to be securely partitioned into up to four separate GPU instances. Each instance operates with dedicated resources (compute, memory, cache), enabling optimal GPU utilization for multiple users or smaller workloads like inferencing, light training, or virtual desktops.
Advanced Tesla A10M Architecture Features
Built upon the powerful Tesla A10M architecture, this GPU offers improved efficiency across parallel workloads. Enhanced CUDA cores, optimized scheduling mechanisms, and a dynamic boost engine allow the card to accelerate intensive tasks while maintaining stable performance under sustained loads.
PCI Express 4.0 x16 Interface
With R9N62C PCIe 4.0 x16 support, the card offers superior connection bandwidth, granting high-speed communication between the GPU and host system. This allows faster dataset processing, reduced latency, and increased overall system responsiveness across bandwidth-heavy applications. Doubling the bandwidth of PCIe 3.0, the PCIe 4.0 interface ensures minimal bottleneck in data transfer between the GPU and the host CPU, crucial for data-intensive tasks in scientific computing and AI.
Capability
This accelerator is suitable for businesses and data centers that require reliable GPU horsepower for advanced workloads. From accelerating neural networks to supporting multi-session virtual desktops, the Tesla A10M provides a flexible performance foundation.
Key Architectural Advantages
Built with the GA102 GPU, the A10M boasts a significant number of CUDA cores, Tensor Cores, and RT Cores. The 20GB GDDR6 memory is ECC (Error Correcting Code) capable, ensuring data integrity in mission-critical calculations. The card's board power is designed for efficient performance-per-watt within standard server power envelopes.
Form Factor and Cooling
The HPE R9N62C Tesla A10M typically conforms to a full-height, dual-slot PCIe form factor, making it compatible with a wide range of HPE server chassis. HPE employs optimized passive heatsink designs that rely on system fans for airflow, ensuring effective cooling in densely packed server racks. This design prioritizes reliability and eliminates the potential point-of-failure associated with small, active fans on consumer cards.
Firmware
Always use the drivers and system firmware provided by HPE's Support Center or SPP (Service Pack for ProLiant). These are tested for stability and compatibility within the HPE ecosystem, unlike generic Nvidia drivers. Effectively leveraging MIG is crucial. Configuration is performed via the Nvidia System Management Interface (nvidia-smi) or through orchestrators like Kubernetes with the Nvidia Device Plugin. The combination of MIG and vGPU means the card's utility can evolve with organizational needs. It can be reconfigured from a training resource to an inference powerhouse or a VDI platform via software, protecting the capital investment.
Within the HPE & Nvidia Tesla
The R9N62C A10M occupies a strategic "sweet spot" between the higher-memory capacity A100 (40GB/80GB) and the pure inference-focused T4. Compared to the A100, the A10M offers a more accessible entry point for mainstream AI and VDI, often with better performance-per-dollar for its target workloads. Versus the T4, the A10M provides significantly more memory, more CUDA/Tensor Cores, and MIG flexibility, making it suitable for training and heavier inference.
Reliability
HPE's rigorous quality standards ensure that the Tesla A10M GPU provides predictable uptime and dependable operation across heavy workloads. With efficient power usage, advanced error-handling, and optimized resource management, organizations can maintain operational continuity even under continuous GPU activity.
Compatibility
This HPE R9N62C Tesla A10M graphics card is specifically validated for seamless integration within select HPE platforms, ensuring stable operation and full feature utilization.
Features
Manufacturer Warranty:
3 Years Warranty from Original Brand
Product/Item Condition:
New Sealed in Box (NIB)
ServerOrbit Replacement Warranty:
1 Year Warranty
