NVIDIA Tesla V100 GPU 16GB Volta Accelerator

Dell NVIDIA Tesla V100 16GB GPU – AI & HPC Accelerator

The Dell NVIDIA Tesla V100 GPU is a data center accelerator designed for
AI training, deep learning, high-performance computing (HPC), and scientific computing.
Built on NVIDIA Volta architecture, it delivers reliable GPU acceleration for machine learning, analytics, simulation, and enterprise compute workloads.

With 16GB of HBM2 high-bandwidth memory and dedicated tensor cores, the Tesla V100 helps accelerate large-scale model training, neural networks, data processing, and GPU-optimized applications.

This refurbished Dell NVIDIA Tesla V100 is commonly used in GPU servers, AI clusters, research systems, data centers, and enterprise infrastructure where dependable compute acceleration is required.

Features and Benefits

• Powered by NVIDIA Volta architecture for advanced GPU acceleration
• 16GB HBM2 memory for high-bandwidth AI and HPC workloads
• Dedicated tensor cores for deep learning and AI training
• Optimized for machine learning, simulation, analytics, and scientific computing
• Enterprise-grade GPU designed for server and data center environments
• Refurbished option for cost-effective GPU infrastructure expansion

Technical Specifications

• Product Type: Data Center GPU Accelerator
• GPU Model: NVIDIA Tesla V100
• Architecture: NVIDIA Volta
• Memory Capacity: 16GB
• Memory Type: HBM2
• Interface: PCIe
• Cooling Type: Passive
• Condition: Refurbished
• Common Workloads: AI, Deep Learning, HPC, Data Analytics, Scientific Computing

Common Use Cases

• AI model training and deep learning development
• High-performance computing clusters
• Scientific simulation and research workloads
• GPU-accelerated data analytics
• Enterprise AI infrastructure and lab environments
• University, research, and engineering compute systems

Data Sheet

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NVIDIA Tesla V100 Data Sheet

Compatibility & Popular Deployment Environments

The NVIDIA Tesla V100 is widely deployed in GPU-enabled server platforms and data center environments.
It is commonly used with enterprise rack servers, AI training systems, HPC clusters, and GPU compute nodes.

Commonly Compatible Server Platforms

• Dell PowerEdge GPU servers
• Dell PowerEdge R740 / R740xd GPU configurations
• Dell PowerEdge R750 / R750xa GPU configurations
• Dell PowerEdge R940 / R940xa high-density compute platforms
• Supermicro GPU servers
• HPE ProLiant GPU-enabled servers
• Lenovo ThinkSystem GPU server platforms

Popular Infrastructure Pairings

• GPU-optimized rackmount servers
• High-speed NVMe storage arrays
• 100G Ethernet or InfiniBand networking
• AI and machine learning workstations
• HPC compute clusters
• Data center virtualization and analytics environments

Software and Workload Compatibility

• TensorFlow
• PyTorch
• NVIDIA CUDA
• NVIDIA cuDNN
• Scientific computing frameworks
• GPU-accelerated analytics platforms

Need help confirming compatibility?
Contact Catalyst Data Solutions
for help matching this GPU with your server platform, power requirements, cooling configuration, and workload needs.