NVIDIA Tesla V100 Graphics Card 16GB

The NVIDIA Tesla V100 Graphics Card 16GB, powered by the revolutionary Volta architecture, is a high-performance GPU designed for artificial intelligence (AI), deep learning, high-performance computing (HPC), and data analytics workloads. Featuring Tensor Cores and CUDA Cores, the V100 delivers unmatched computational power and scalability for accelerating the most demanding workloads.

Equipped with 16GB of HBM2 memory, the Tesla V100 offers superior memory bandwidth and performance, making it the go-to solution for enterprises, researchers, and developers working on complex simulations, deep learning training, and inference.

Key Features:

1. Volta Architecture

• CUDA Cores
  • Features 5,120 CUDA cores, delivering exceptional parallel processing power for compute-intensive tasks.
• Tensor Cores
  • Includes 640 Tensor Cores, optimized for mixed-precision computations, significantly accelerating AI and deep learning workloads.

2. 16GB HBM2 Memory

• High-Bandwidth Memory (HBM2)
  • The 16GB HBM2 memory offers a bandwidth of 900 GB/s, ensuring fast data access and smooth performance for large datasets.
• ECC Memory
  • Error-Correcting Code (ECC) ensures data reliability and accuracy for mission-critical applications.

3. Tensor Core Acceleration

• Deep Learning Optimization
  • Provides up to 125 TFLOPS of Tensor Core performance, accelerating the training and inference of complex neural networks.
• Mixed Precision Support
  • Supports FP16, FP32, and FP64 computations for optimized performance across diverse workloads.

4. Energy Efficiency

• Optimized Power Usage
  • Operates at a TDP of 300W, delivering industry-leading performance-per-watt efficiency.
• Passive Cooling
  • Designed for data center environments, leveraging server airflow for effective thermal management.

5. Scalability with NVLink

• High-Speed Interconnect
  • Supports NVIDIA NVLink, offering up to 300 GB/s GPU-to-GPU bandwidth for seamless multi-GPU configurations.
• Scalable Performance
  • Enables high-throughput performance for larger datasets and more complex workloads.

6. Versatile Compatibility

• Broad Framework Support
  • Compatible with major AI frameworks such as TensorFlow, PyTorch, and Caffe, ensuring seamless integration into existing workflows.
• Virtualization Ready
  • Fully supports NVIDIA’s vGPU technology for virtualized HPC and AI workloads.