Name: UCSC-GPU-V100 Nvidia Tesla V100 SXM2 16GB HBM2 NVLink GPU Accelerator
Brand: Nvidia
SKU: UCSC-GPU-V100
Price: 144.00 USD
Availability: InStock
Rating: 4.8 (119 reviews)

Product Overview
The Cisco NVIDIA Tesla V100 SXM2 16GB HBM2 NVLink GPU Accelerator serves as a powerful processing unit focused on enhancing compute-heavy tasks. It's tailored for integration within Cisco UCS systems and excels in environments requiring fast, parallel data processing, especially in AI and scientific computing contexts.

General Information
Brand	Nvidia
Part Number	UCSC-GPU-V100
Series	Tesla V100

Physical Characteristics
Weight	3.00
Condition	Refurbished

Product Description
The Cisco NVIDIA Tesla V100 SXM2 16GB HBM2 NVLink GPU Accelerator is built for accelerating complex computations in artificial intelligence, machine learning, and scientific simulations. It is commonly found in high-performance computing clusters and data centers where rapid processing is critical. Often deployed by data scientists, researchers, and engineers, this GPU enhances parallel processing capabilities, allowing for faster training of neural networks and handling of large datasets. It fits into Cisco UCS systems to deliver a streamlined solution tailored for intensive workloads. Key Features High-bandwidth HBM2 memory reduces data bottlenecks during computation NVLink provides direct high-speed GPU interconnects for efficient multi-GPU scaling Optimized for deep learning frameworks and HPC applications Seamless integration with Cisco UCS architecture for stable performance Supports a broad range of CUDA-accelerated applications This GPU accelerator is typically deployed in environments demanding extreme compute power, such as AI research labs and cloud service providers. Its role is crucial in speeding up model training and delivering results faster without sacrificing accuracy.

Use Cases
The Cisco NVIDIA Tesla V100 SXM2 GPU Accelerator is optimized for high-performance computing environments that demand intensive parallel processing capabilities. It is particularly beneficial for data centers and enterprise IT teams managing AI model training, scientific simulations, or large-scale analytics workloads requiring efficient GPU clustering. How It's Used: Accelerating deep learning training pipelines in enterprise data centers leveraging multi-GPU configurations. Enhancing computational fluid dynamics simulations in research institutions requiring high-throughput GPU compute. Deploying AI inference workloads within Cisco UCS-based virtualization environments for real-time data processing. Supporting large-scale genomic data analysis in healthcare IT environments using GPU-accelerated compute clusters. Enabling financial modeling and risk analysis through parallel computations in high-frequency trading infrastructure. This GPU accelerator enhances operational efficiency by enabling scalable GPU-to-GPU communication via NVLink, minimizing latency in data-intensive tasks. Its design for Cisco UCS platforms simplifies integration while providing the performance consistency needed for complex workloads in demanding computational settings.

UCSC-GPU-V100 Nvidia Tesla V100 SXM2 16GB HBM2 NVLink GPU Accelerator

Product Overview

General Information

Physical Characteristics

Product Description

Use Cases