Name: 900-2G133-0360-030 HP NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator
Brand: HP
SKU: 900-2G133-0360-030
Price: 1280.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The HP NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator provides efficient tensor processing power suited for data centers and AI workloads. Its passive cooling design allows it to fit seamlessly into quieter or densely packed server environments while delivering the necessary performance for machine learning and analytical tasks.

General Information
Brand	HP
Part Number	900-2G133-0360-030
Series	NVIDIA A10M 20GB

Miscellaneous
Compliance Standards	WEEE, RoHS, CE, FCC

Physical Characteristics
Weight	3.00
Condition	Refurbished

Product Description
This HP NVIDIA A10M GPU accelerator is built for handling intensive AI, machine learning, and data analytics tasks. It fits into server or workstation environments where passive cooling is essential, commonly found in data centers or research labs. Often utilized by data scientists, AI developers, and IT professionals, it enhances computational throughput and efficiency without adding noise from active fans. Key Features Offers 20GB of GDDR6 memory for fast data access Passive cooling reduces thermal noise and power consumption Optimized for tensor operations in AI and deep learning models Compatible with high-density server setups Supports workload acceleration in virtualized environments This GPU accelerator typically appears in enterprise-grade servers running AI workloads or virtual desktop infrastructures. Its passive cooling makes it a practical choice where noise and heat management are important considerations.

Use Cases
The HP NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator is designed for environments that demand high-performance AI and machine learning processing within space- or noise-constrained server deployments. It is particularly suited for data centers, enterprises, and research institutions that require dense rack configurations and silent operation without compromising computational throughput. How It's Used: Accelerating AI inference workloads in multi-tenant data centers with limited cooling capabilities. Enhancing machine learning model training in research labs utilizing compact, noise-sensitive server clusters. Deploying within edge computing setups where passive cooling reduces hardware failure risk and maintenance overhead. Boosting analytics and deep learning tasks in enterprise IT environments with high-density rack deployments. Supporting virtualized GPU workloads in cloud platforms that prioritize energy efficiency and silent operation. This GPU accelerator facilitates improved operational efficiency by delivering powerful tensor processing in environments that require passive cooling solutions. Its design supports scalability in tightly packed infrastructure while maintaining consistent performance for AI-driven workloads.

900-2G133-0360-030 HP NVIDIA A10M 20GB GDDR6 Passive Tensor GPU Accelerator

Product Overview

General Information

Miscellaneous

Physical Characteristics

Product Description

Use Cases