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NVIDIA V100 Tensor Core Graphics Card 16GB


The NVIDIA V100 Tensor Core Graphics Card with 16GB HBM2 memory is a high-performance GPU designed for AI, HPC, and data analytics. Built on the NVIDIA Volta architecture, it features advanced Tensor Cores for accelerated AI training and inference. Ideal for data centers and scientific computing, the V100 delivers exceptional scalability, efficiency, and groundbreaking computational power for demanding workloads.

Min. Quantity – 5 Nos

Note: Below are the approximate and promotional prices. For the latest pricing and further details, please WhatsApp or call us at +91-8903657999.

345,000 570,000

The NVIDIA V100 Tensor Core Graphics Card 16GB is a groundbreaking GPU designed for accelerating artificial intelligence (AI), deep learning, high-performance computing (HPC), and data analytics workloads. Powered by the Volta architecture, the V100 integrates CUDA Cores and Tensor Cores, delivering unmatched computational performance and efficiency. It is engineered for researchers, data scientists, and professionals working on advanced simulations, large-scale AI model training, and inferencing.

With 16GB of HBM2 memory and support for NVIDIA NVLink, the V100 ensures fast data processing and scalability in demanding multi-GPU environments. Its innovative design and robust capabilities make it an essential tool for enterprises and research institutions aiming to accelerate innovation and productivity.

Key Features:

  1. Volta Architecture
  • CUDA Cores
    • Features 5,120 CUDA Cores, delivering powerful parallel processing for compute-intensive tasks.
  • Tensor Cores
    • Includes 640 Tensor Cores, optimized for mixed-precision computations, accelerating AI and deep learning workloads by enabling up to 125 TFLOPS of Tensor performance.
  1. 16GB HBM2 Memory
  • High-Bandwidth Memory (HBM2)
    • Equipped with 16GB HBM2 memory, offering a bandwidth of 900 GB/s, ensuring smooth data handling for large-scale simulations and datasets.
  • ECC Memory
    • Error-Correcting Code (ECC) ensures data reliability and accuracy in mission-critical applications.
  1. Tensor Core Acceleration
  • Deep Learning Optimization
    • Enables mixed-precision training and inference for deep learning frameworks, significantly accelerating AI workflows.
  • FP16, FP32, and FP64 Support
    • Provides flexibility for a variety of precision needs in HPC and AI applications.
  1. NVLink Technology
  • High-Speed Interconnect
    • Supports NVIDIA NVLink, providing up to 300 GB/s GPU-to-GPU bandwidth for seamless multi-GPU scalability.
  • Scalable Performance
    • Enables high-throughput performance for larger datasets and more complex workflows.
  1. Energy Efficiency
  • Optimized Power Consumption
    • Operates at 300W, delivering industry-leading performance-per-watt efficiency.
  • Passive Cooling
    • Designed for data center environments, leveraging server airflow for efficient thermal management.
  1. Enterprise-Grade Reliability
  • 24/7 Operation
    • Built for continuous operation in demanding environments, ensuring consistent performance and reliability.
  • Compatibility
    • Supports major AI frameworks, HPC software, and data analytics tools.
Product Name NVIDIA V100 Tensor Core
Manufacturer NVIDIA
Memory 16 GB HBM2
Memory Bus 4096-bit
Bandwidth 900 GB/s
Base Clock 1.53 GHz
Boost Clock 1.75 GHz
TDP 250W
Required System Power 600W
Display Outputs No Display Outputs (Compute Card)
Maximum Power Consumption 250W
PCIe Interface PCIe 3.0 x16