Name: P05472-001 HP NVIDIA Tesla V100 32GB HBM2 SXM2 GPU Accelerator
Brand: HPE
SKU: P05472-001
Price: 1099.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The HP NVIDIA Tesla V100 32GB HBM2 SXM2 GPU Accelerator delivers high-performance computing power tailored for AI training, scientific simulations, and deep learning workloads. Its combination of large memory capacity and NVIDIA's Volta architecture positions it as a critical component in data centers and research environments requiring fast, efficient processing.

General Information
Brand	HPE
Part Number	P05472-001
Series	NVIDIA Tesla V100

Miscellaneous
Assembly Required	Yes
Compliance Standards	WEEE, RoHS, CE

Physical Characteristics
Weight	3.00
Condition	Refurbished

Product Description
The HP NVIDIA Tesla V100 32GB GPU Accelerator is built to handle intensive computational tasks such as deep learning, scientific simulations, and complex data analytics. Its large memory and high processing power make it a preferred choice in data centers and research facilities. Often found in servers and workstations, this GPU excels in accelerating AI models and high-performance computing applications. Engineers, researchers, and data scientists typically benefit from its robust design and performance. Key Features High-speed 32GB HBM2 memory allows rapid data access and transfer Powered by NVIDIA's Volta architecture for advanced compute capabilities SXM2 form factor ensures efficient heat dissipation and integration Supports mixed precision computing to optimize performance and accuracy Compatible with major deep learning frameworks and HPC libraries This accelerator is commonly deployed in enterprise-level AI training clusters, supercomputers, and research labs where intense parallel computation is required. It helps reduce processing times and accelerates the development of complex algorithms without bottlenecks.

Use Cases
The HP NVIDIA Tesla V100 32GB HBM2 SXM2 GPU Accelerator is primarily utilized in environments requiring intensive computational power, such as data centers and research institutions. It benefits AI developers, scientists, and engineers who manage complex models and simulations demanding high throughput and large memory capacity. How It's Used: Accelerating deep learning model training for enterprise AI research labs handling large datasets. Enhancing high-performance computing clusters in scientific institutions for simulations and data analysis. Supporting virtualization environments in data centers to optimize GPU resource allocation for multiple users. Facilitating advanced analytics workloads in financial institutions requiring rapid processing of real-time data streams. Driving computational chemistry and genomics projects in biotech firms with memory-intensive algorithms. By integrating this GPU accelerator, organizations can improve throughput and scalability in demanding workloads while maintaining operational efficiency. Its architecture supports seamless deployment in rack-scale systems, delivering consistent performance in complex, multi-tenant infrastructures.

P05472-001 HP NVIDIA Tesla V100 32GB HBM2 SXM2 GPU Accelerator

Product Overview

General Information

Miscellaneous

Physical Characteristics

Product Description

Use Cases