PNY
Nvidia Tesla V100 16Gb
Best accelerator for data scientists running complex AI and research workloads.
Experience unparalleled performance with the Nvidia Tesla V100 16Gb, a powerhouse data center GPU built on the advanced NVIDIA Volta Architecture. Designed to accelerate demanding AI, High-Performance Computing (HPC), and complex simulations, this accelerator offers performance comparable to up to 100 CPUs in a single unit. Its 16GB memory configuration empowers data scientists and engineers to focus on innovation, reducing time spent on memory management. Ideal for cutting-edge research and development, it requires a compatible server environment for optimal integration and performance.
$607.41
Owner Satisfaction
4.7
/ 5
Category Rank
8
/ 104
#8 in Server GPU
Price vs Category Average
-88%
Below average
GPU Chipset
100
/ Tesla V
Who it's for
- Data scientists needing reliable deep learning training performance
- Researchers processing massive datasets requiring rapid data throughput
- Engineers prioritizing stable, well-supported CUDA software environments
Who should skip it
- Small businesses lacking specialized server-grade cooling infrastructure
- Developers requiring maximum throughput for modern, high-efficiency workloads
- Teams training large language models needing extensive memory capacity
Performance breakdown
AI Training Throughput
Volta architecture delivers massive acceleration for complex deep learning model training.
HPC Computational Power
Replaces massive CPU clusters with high-density, single-unit parallel processing efficiency.
Memory Capacity
16GB handles substantial datasets, though larger models may require multi-GPU scaling.
Mixed Precision Efficiency
Tensor cores significantly boost performance for modern, high-speed precision computing tasks.
Data Center Integration
Built specifically for rack-mounted environments requiring stable, continuous high-load operation.
Workflow Optimization
Streamlines memory management to keep engineers focused on innovation over maintenance.
Key Specs
GPU Chipset
Tesla V100
Memory Configuration
16GB
Architecture
NVIDIA Volta
GPU Chipset Manufacturer
NVIDIA
Video Memory
16.0 GB
Processing Time
1-3 business days
Shipping Destination
United States only
Features
- Powered by NVIDIA Volta Architecture
- Performance of up to 100 CPUs
- Accelerates AI and HPC workloads
- Optimized for reduced memory management
- Supports advanced mixed precision computing
- Designed for data center environments
- 16GB memory configuration
- Discreet packaging for sensitive shipments
What customers say
Users consistently highlight the exceptional quality and reliability of the Nvidia Tesla V100. This card remains the gold standard for high performance computing and deep learning, delivering predictable, top tier results essential for professional environments. While the investment is substantial, customers generally view the V100 as a necessary and powerful tool. Its efficiency and speed justify the premium cost, establishing it as a strong long term value proposition for serious enterprise and research applications.
Know before you buy
The Tesla V100 is built for high-demand tasks such as deep learning, artificial intelligence training, and complex scientific simulations. It excels in environments requiring massive parallel processing power, such as HPC clusters.
No, this is a data center-grade accelerator designed specifically for server environments. It lacks active cooling fans and requires a chassis with high-airflow server cooling to operate safely.
The 16GB of HBM2 memory allows you to load larger datasets directly onto the GPU, which significantly reduces the time spent on memory management and data swapping. This is particularly beneficial for training large neural networks or running memory-intensive simulations.
Yes, the Volta architecture natively supports mixed precision, which allows you to accelerate AI training and inference tasks. This feature helps maintain high accuracy while significantly increasing throughput compared to standard single-precision calculations.
The Volta architecture introduces Tensor Cores, which are specialized hardware units designed to speed up matrix math—the foundation of deep learning. This architecture allows the card to deliver performance levels that would otherwise require a massive cluster of traditional CPUs.
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