Name: R6B53C HPE NVIDIA A100 40GB PCIe GPU Computing Accelerator Card
Brand: HPE
SKU: R6B53C
Price: 9149.00 USD
Availability: InStock
Rating: 4.8 (130 reviews)

Product Overview
The R6B53C HPE NVIDIA A100 40GB PCIe Computational Accelerator Card is a GPU-based expansion designed for enterprise servers to accelerate demanding computational applications. It features a 40GB memory capacity and connects through a PCIe interface, targeting data center environments where enhanced processing power is required.

General Information
Brand	HPE
Part Number	R6B53C

Technical Information
Chipset	Nvidia
GPU Architecture	Ampere (NVIDIA)
Interface / PCIe Slot	PCIe 4.0 x16
Supported Frameworks	CUDA, OpenCL, TensorRT, PyTorch, TensorFlow, JAX, MXNet, ONNX Runtime
Supported Precisions	FP64, FP32, TF32, BF16, FP16, INT8, INT4
ECC Memory	Yes — Full ECC
Cooling Type	Passive
Power Connector	Server Backplane

Memory
Memory Size	40GB
Interface	HBM2
Memory Bus	5120-bit

Miscellaneous
Assembly Required	No
Compliance Standards	WEEE, RoHS, cURus, CE, FCC, UL, TUV

Physical Characteristics
Slot Width	2-slot
Form Factor	Full-Height Full-Length (FHFL)
Weight	3.00
Condition	Refurbished

Product Description
The R6B53C HPE NVIDIA A100 40GB PCIe Computational Accelerator Card is designed to enhance the processing power of enterprise servers by accelerating computational tasks. It is typically deployed in data center environments where intensive workloads such as AI, machine learning, and scientific simulations require substantial GPU resources. This card is intended for IT professionals and system integrators looking to expand server capabilities with GPU acceleration using PCIe connectivity. Key Features 40GB GPU memory for handling large datasets and models PCIe interface ensuring compatibility with a range of HPE servers Designed for computational acceleration in enterprise environments Manufactured by HPE with NVIDIA GPU technology Optimized for data center deployment This accelerator card plays a critical role in offloading and accelerating complex computational workloads, enabling servers to deliver enhanced processing efficiency. Its integration via PCIe slots makes it suitable for modern enterprise server architectures.

Use Cases
This accelerator card is typically used in enterprise data centers to boost the computational capability of servers handling AI, machine learning, and data-intensive workloads. It benefits organizations requiring GPU acceleration to improve processing efficiency in complex computational tasks. How It's Used: Accelerating AI and machine learning model training in data centers Supporting scientific simulations requiring heavy GPU computation Enhancing server performance for data analytics workloads Integrating into HPE servers via PCIe slots in enterprise environments Deploying in high-performance computing clusters Overall, this card serves as an accelerator to offload and speed up complex computational tasks, fitting into enterprise IT infrastructures that demand scalable GPU resources.

FAQ's
What interface does the R6B53C use? The R6B53C uses a PCIe interface, allowing it to connect to compatible HPE servers via PCIe slots. What is the memory capacity of this accelerator card? This HPE NVIDIA A100 card features 40GB of GPU memory designed to handle large datasets and intensive computational workloads. Which environments is this card intended for? It is intended for data center and enterprise environments where enhanced GPU acceleration is required for computational tasks. Can it be used for AI and machine learning workloads? Yes, the card is suitable for accelerating AI, machine learning, and other GPU-intensive computational applications. Who typically installs the R6B53C card? IT professionals and system integrators typically install this card into enterprise servers to expand computational capabilities. Is this card compatible with all HPE servers? It is designed to fit into HPE servers that support PCIe-based GPU accelerators; compatibility depends on specific server models and configurations.

R6B53C HPE NVIDIA A100 40GB PCIe GPU Computing Accelerator Card

Product Overview

General Information

Technical Information

Memory

Miscellaneous

Physical Characteristics

Product Description

Use Cases

FAQ's