Name: 699-2G133-0230-C02 HPE NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator
Brand: HPE
SKU: 699-2G133-0230-C02
Price: 1280.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The HP NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator is designed to provide powerful AI and machine learning performance in a server-friendly package. It offers high-speed memory and tensor core capabilities that make it well-suited for data centers requiring efficient GPU acceleration without extra cooling hardware.

General Information
Brand	HPE
Part Number	699-2G133-0230-C02
Series	NVIDIA A10M

Miscellaneous
Compliance Standards	RoHS, CE, FCC

Physical Characteristics
Weight	3.00
Condition	Refurbished

Product Description
The HP NVIDIA A10M with 20GB GDDR6 memory is a GPU accelerator built for intensive AI, machine learning, and high-performance computing tasks. It is commonly used in servers and data centers where reliable and efficient GPU processing is essential. This passive-cooled GPU fits well in systems with optimized airflow, making it a preferred choice for IT professionals handling complex workloads requiring both performance and thermal efficiency. Key Features Equipped with 20GB of GDDR6 memory delivering fast data throughput Passive cooling reduces noise and fits into server environments with strong airflow Tensor cores accelerate deep learning and AI inference tasks Compatible with various enterprise-grade server platforms Supports virtualization and multi-instance GPU configurations Typically deployed in AI research labs, cloud data centers, and enterprise environments, this accelerator helps speed up demanding computations while maintaining system stability. Its passive cooling design also makes it easier to integrate into densely packed server racks where active cooling might be limited.

Use Cases
The HP NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator is commonly deployed in high-density server environments where efficient AI and machine learning processing is essential. Data centers and enterprise IT operations that demand high throughput without added cooling complexity benefit most from its passive design and advanced tensor core capabilities. How It's Used: Accelerating deep learning model training within cloud service provider data centers. Enhancing real-time inferencing workflows in edge computing racks for industrial automation. Supporting virtualization environments that require GPU partitioning for multi-tenant AI workloads. Processing large-scale analytics and AI workloads in storage cluster servers. Enabling scientific computing tasks in research institutions with dense server deployments. This GPU accelerator aids operational efficiency by integrating seamlessly into existing server architectures without increasing cooling demands. Its tensor processing power allows scalable AI workload handling, optimizing performance in environments that prioritize compute density and energy efficiency.

699-2G133-0230-C02 HPE NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator

Product Overview

General Information

Miscellaneous

Physical Characteristics

Product Description

Use Cases