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Features of the NVIDIA V100 Server

These cards offer high-performance and important features for ML/AI and HPC related tasks.

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Maximum Efficiency and Maximum Performance Modes

Maximum efficiency mode lets all managers of data centers adjust the computing power usage of their Tesla V100 cards to work with excellent performance per watt. In mode of maximum performance, the Tesla V100 accelerator will work up to its TDP (thermal design power) level of almost 300 W.

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Volta Multi-Process Service

Volta Multi-Process Service (MPS) is the latest feature of the Volta GV100, offering hardware acceleration of some important features of the CUDA MPS server, allowing high-performance and high quality of service (QoS) for diverse computing applications that share the similar GPU.

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Streaming Multiprocessor Architecture Enhanced for Deep Learning

Volta features a vital, innovative redesign of the architecture of the SM processor that is mainly in the middle of the GPU. The latest Volta SM is extra energy capable as compared to the past generation Pascal design, allowing crucial accelerations in FP64 and FP32 performance in the similar power box.

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Cooperative Groups and New Cooperative Launch APIs

Simple cooperative groups working are fully supported on every NVIDIA server since Kepler. Volta and Pascal provide support for all new cooperative launch APIs that easily support synchronization throughout CUDA thread blocks. Volta usually supports new patterns of synchronization.

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HBM2 Memory: Faster, Higher Efficiency

The highly adjusted 16 GB HBM2 memory of Volta offers 900 GB/sec memory bandwidth. The mixture of the new generation Volta’s memory controller and the latest generation memory from Samsung offers almost 1.5x delivered memory bandwidth usage, properly managing a lot of crucial tasks.

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Enhanced Unified Memory and Address Translation Services

Unified Memory technology of GV100 consists of various new usage counters to provide more precise migration of all pages of the memory to the processor that easily accesses all of them many times, enhancing productivity for all ranges of memory that are shared among different processors.

Scalable Pricing Options for NVIDIA V100

Save 40%
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V100

$ 669.00/month

$50.99
  • Multi-GPU - 3xV100
  • 256GB RAM
  • 2TB NVMe + 8TB SATA
  • 1Gbps Port Speed
  • GPU: 3 x Nvidia V100
  • Microarchitecture: Volta
  • Max GPUs: 3
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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  • Instant Support
  • Quick Deploy
  • Robust Security

When to Select a NVIDIA V100 Dedicated GPU Hosting

The dedicated NVIDIA V100 hosting is the leading GPU that is ever developed to boost AI, graphics rendering, deep learning, and high-performance computing (HPC) tasks.

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Artificial Intelligence Inference

The NVIDIA V100 dedicated server is a superior computing powerhouse specially developed for AI inference. Fortified with the Volta architecture of Nvidia, it has 640 tensor cores that boost deep learning tasks, delivering unmatched speed and productivity. Its huge 16 GB HBM2 memory and strong parallel processing capabilities make it the best option for managing all neural network models and high-level data.

The Tesla V100 graphic card is designed to carry out reliable performance in the present hyperscale server racks. With artificial intelligence at its core, the V100 GPU provides 47X higher inference performance as compared to a CPU server. This huge jump in outcome and productivity will make the extension of available AI services.

High Performance Computing (HPC)

The NVIDIA V100 GPU server is an ideal outcome for carrying out all High Performance Computing (HPC) tasks, influencing the Volta architecture of Nvidia to carry out unmatched computing power. With its 16 GB of HBM2 memory and 640 Tensor Cores, the V100 always outshines in managing all demanding complex simulations, difficult calculations, and high-level data analyses.

This server is specially designed for the merging of both HPC and AI-based tasks. It provides a powerful platform for all HPC systems to surpass both complex computational tasks for scientific research and deep learning for discovering accuracy in data.

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Artificial Intelligence Training

The NVIDIA V100 hosting server is the best option for AI models, presenting Volta architecture of Nvidia to offer unmatched performance and productivity. With 16 GB of HBM2 memory and 640 Tensor Cores, the V100 boosts the training of all AI models by processing huge datasets and all necessary algorithms with outstanding speed.

With present 640 Tensor Cores, this GPU server is easy to break the 100 teraFLOPS (TFLOPS) obstacles of tasks related to deep learning. The upcoming generation of NVIDIA NVLink™ links numerous V100 GPUs at up to almost 300 GB per second to develop the most robust servers of computing.

What Can Be Simply Run on GPU Dedicated
Server with NVIDIA V100

The NVIDIA V100 accelerator offers a robust foundation for technicians, data scientists, and experts. Customers
can now spend very little time enhancing memory utilization and extra time in the AI progress.

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Substitutes of NVIDIA V100 Dedicated Server

If you need to perform graphic rendering, play games, or do video editing, the various would be the right options.

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Nvidia A40

The NVIDIA A40 unites the high-performance and components important for good display experiences, AR/VR, live telecast, etc.

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Tesla K40

The Tesla K40 provides strong parallel processing power and productive computation, best for engineering applications and scientifics research.

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Quadro RTX A4000

The Quadro RTX A4000 unites robust GPU acceleration, providing reliable performance for 3D graphic rendering, and AI models.

Frequently Asked Questions

1. What is V100 Nvidia?

This server is a robust GPU server with 16 GB of HBM2 memory and 640 Tensor Cores, developed specially for carrying out complex computation, AI training models, and deep learning-related tasks.

2. Who makes the NVIDIA V100?

Nvidia made these graphic cards.

3. What are NVIDIA V100 hosting servers used for?

These GPU hosting servers are utilized for optimal performance, complex simulations, deep learning tasks, and high-level data analysis.

4. How many GPUs does a V100 have?

The NVIDIA V100 has only one GPU card, so we can say that it has only one GPU per unit.

5. How much power does V100 use?

This server approximately utilized almost 250 watts of power.

6. Is V100 a good GPU?

Yes, the NVIDIA V100 is always considered the best GPU, mainly for deep learning and many more. Its innovative Volta architecture, maximum core count, and abundant memory make it a lot more productive for performing complex computing and extensive data processing.

7. Is V100 faster than P100?

Yes, the NVIDIA V100 is usually faster as compared to the P100. The V100, as per the Volta architecture, depicts enhancements like tensor cores, especially for deep learning acceleration, and more memory bandwidth as compared to the P100. These improvements lead to crucially optimal performance for AI training models, complex computing, and data-based tasks.

8. Is V100 better than A100?

The Nvidia A100 is mainly considered a lot better as compared to the V100. The A100 is designed on the Ampere architecture, providing increased performance, optimized memory capacity, and increased productivity than the V100.