R6B53C HPE A100 NVIDIA 24 GB GDDR6

Name: R6B53C HPE A100 NVIDIA 24 GB GDDR6
Brand: HPE
SKU: R6B53C
Price: 9236.50 USD
Availability: InStock
Rating: 5 (8 reviews)

Mfr. Part #: R6B53C

Brand: Hpe

Condition: Refurbished

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A100

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overview

specifications

faqs

reviews

overview

R6B53C Overview

HPE R6B53C Nvidia A100 40gb Pcie Computational Accelerator Overview The Nvidia Accelerators For HPE Proliant Servers Improve Computational Performance, Dramatically Reducing The Completion Time For Parallel Tasks, Offering Quicker Time To Solutions. Co-locating The Nvidia Quadro Or Nvidia Grid Gpus With Computational Servers, Large Data Sets Can Be Shared, Dramatically Improving Display Refresh Rates. These Gpus Are Specifically Designed To Enable Rich Graphics In Virtualized Environments.

Summary Description

HPE A100. Graphics processor family: NVIDIA, Graphics processor: A100. Discrete graphics card memory: 24 GB, Graphics card memory type: GDDR6. Interface type: PCI Express 4.0

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specifications

Specifications

Overview

Condition	Refurbished
Brand	HPE
Stock	In Stock

Processor

Graphics processor family	NVIDIA
Graphics processor	A100

Memory

Discrete graphics card memory	24 GB
Graphics card memory type	GDDR6
Memory bandwidth (max)	60 GB/s

Ports & interfaces

Interface type	PCI Express 4.0

Weight & dimensions

Weight	3 kg
Depth	34.8 mm
Height	266.7 mm
Width	111 mm

faqs

Frequently Asked Questions

What primary workloads is the HPE A100 GPU designed to accelerate? +

The HPE A100 is engineered to handle intensive computational tasks, including large-scale AI training, deep learning inference, and complex data analytics. Its architecture excels at high-performance computing (HPC) scenarios where parallel processing is critical for reducing training times and accelerating research simulations, making it a cornerstone for data-heavy enterprise environments.

Does the HPE A100 support multi-instance GPU technology? +

Yes, the A100 features Multi-Instance GPU (MIG) technology, which allows the hardware to be partitioned into several isolated instances. This capability enables you to optimize resource utilization by running multiple distinct workloads concurrently on a single physical GPU, ensuring efficient allocation for smaller tasks while maintaining strict security and performance boundaries between different operations.

What is the memory capacity of the HPE A100 GPU? +

The A100 is designed with high-bandwidth memory to support massive datasets and complex neural network models. By providing significant memory capacity and extreme memory bandwidth, it ensures that your most demanding applications can access, process, and store large volumes of data without becoming bottlenecked during active compute cycles.

Can the A100 integrate into existing HPE rack servers? +

Integration depends on your specific server chassis and power supply configurations. The A100 is designed to fit into compatible HPE enterprise-grade rack servers that support high-wattage PCIe or SXM interfaces. Always verify your server’s thermal specifications and available PCIe lanes to ensure adequate physical space and power delivery for stable, long-term operation within your data center rack.

How does the HPE A100 improve performance compared to previous generations? +

The A100 delivers a massive leap in throughput for both AI training and inference compared to older architectures. Through architectural enhancements and increased tensor core efficiency, it minimizes latency and drastically speeds up the calculation of complex mathematical matrices. This efficiency gain allows enterprises to tackle bigger models and more sophisticated simulations faster than ever before.

What type of power and cooling requirements should I prepare for? +

Given the performance capabilities of the A100, it carries a significant power profile and requires robust cooling solutions within the server chassis. Enterprise deployments must ensure that the rack environment provides sufficient airflow and power distribution units (PDUs) capable of handling the continuous high-wattage demand under full load to prevent thermal throttling or system instability.

Is the HPE A100 suitable for virtualized cloud environments? +

Absolutely, the A100 is highly effective in virtualized environments, especially when combined with specialized hypervisors. Its support for hardware-based virtualization allows organizations to share GPU resources across multiple virtual machines or containers. This makes it an ideal choice for cloud service providers or internal IT departments aiming to maximize hardware investment across diverse user groups and applications.

What management tools are typically used to monitor the A100's health? +

Monitoring the status and performance of your A100 GPUs is typically managed through HPE-integrated management software, such as iLO, alongside standard NVIDIA driver-level utilities. These tools provide real-time telemetry, including temperature monitoring, power consumption metrics, and memory utilization, allowing administrators to proactively address potential thermal issues or identify bottlenecks before they impact overall production workloads.

How can I obtain a bulk quote for multiple HPE A100 units? +

If you are planning an enterprise-scale rollout and require multiple HPE A100 units, please reach out to the BuyRouterSwitch.com sales team directly. We specialize in managing large-volume hardware procurement and can provide a customized quote tailored to your project requirements, helping you effectively scale your data center compute capacity while keeping your infrastructure investment organized and efficient.

Why should I purchase my HPE hardware from BuyRouterSwitch.com? +

BuyRouterSwitch.com is a trusted source for genuine enterprise networking and server hardware. When you source your HPE components through us, you benefit from our streamlined procurement process and dedicated support. We focus on providing high-quality, authentic products that meet rigorous industry standards, ensuring that your mission-critical data center builds are powered by reliable, verified hardware sourced from reputable channels.

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