Nvidia 2xV100 Tensor Core Cloud GPU, 64 GB - E2E Cloud

NVIDIA V100 GPU is built to accelerate AI, High Performance Compute, and Graphics, being one of the most advanced GPUs. Built on Volta Architecture, a single V100 GPU offers performance similar to a 100 CPUs. This configuration allows researchers to deal with challenges that were difficult to solve in the past.

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V100 was also the first GPU to win MLPerf, an industry-wide AI benchmark, thus proving itself as the most scalable, powerful, and versatile computing tool. The NVIDIA 2XV100 instance contains a dual NVIDIA Tesla V100 with each 32 GB GPU memory. The V100 pairing 5120 CUDA Cores and 640 Tensor Cores and 32 GB/sec GPU interconnect bandwidth.

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NVIDIA V100 Datasheet

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Product Features

High Performance Computing

The combination of Tensor Cores and Cuda Cores in a unified architecture, as offered in V100 can replace hundreds of CPU-only servers for AI and HPC Workloads.

Next Generation NVLink

The NVIDIA V100 GPU with NVLink technology provides double the throughput compared to the previous generation. It allows up to eight V100 accelerators to be interconnected, enabling data transfer rates of gigabytes per second (GB/sec).

Tensor Cores

V100 has 640 Tensor Cores, resulting in an impressive deep learning performance of 130 teraFLOPS (TFLOPS). In deep learning training, it delivers a remarkable 12-fold increase in Tensor FLOPS, while for deep learning inference, it achieves a substantial 6-fold increase compared to NVIDIA Pascal GPUs.

HBM2 Memory

The 16GB HBM2 memory system offers 900 GB/sec peak memory bandwidth. The combination of a new generation memory controller and HBM2 memory provides high memory bandwidth, with 95% memory bandwidth utilization running several workloads.

Why Choose NVIDIA TESLA V100 GPU?

The NVIDIA 2XV100 is a high-performance graphics processing unit (GPU) by NVIDIA Corporation. It belongs to the NVIDIA Tesla product line and is primarily designed for use in data centers and high-performance computing (HPC) applications. It is a powerful GPU that comes with a fair share of benefits.

Programmability

The V100 GPU introduces independent thread scheduling, which allows for finer-grained synchronization and improved GPU utilization. This means that developers can utilize the GPU's resources by sharing them among smaller tasks. It simplifies programming and enables better performance for a wide range of applications.

New Streaming Multiprocessor (SM) Architecture for Deep Learning:

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The V100 graphics card, which is part of the Volta architecture, has been redesigned to be more powerful and efficient for deep learning tasks. It includes specialized Tensor Cores that can perform calculations much faster than before, resulting in up to 12 times better performance for training and 6 times better performance for inference.

AI Inference

The 2XV100 GPU is an accelerator in training and inference of machine learning models which supports the development of AI applications at a speed faster than before. A single V100 instance delivers 47 times higher inference performance compared to traditional CPU servers. This increased throughput and efficiency enable AI services to scale out effectively, accommodating a larger number of requests and improving overall performance.

Real-world Applications of 2XV100 Cloud GPU

The NVIDIA 2XV100 GPU has found extensive usage in various real-world applications, particularly in cloud computing environments, due to its high-performance capabilities. Some of the most common applications are:

Deep Learning and Artificial Intelligence (AI)

The 2XV100 GPU accelerates training and inference tasks, enabling you to train complex deep-learning models fast. Its 64GB of high-bandwidth memory (HBM2) ensures efficient data access, while NVLink technology allows seamless communication between multiple GPUs for scaling up your AI workloads. It provides the computational muscle to handle your most demanding AI projects including those that involve image recognition, natural language processing, recommendation systems, or autonomous vehicles.

High Performance Computing

It provides a significant performance boost to all applications, be it molecular dynamics simulations, weather forecasting, computational fluid dynamics, or any other HPC application. With its high-bandwidth memory (HBM2) and NVLink technology, it facilitates efficient data access and seamless GPU-to-GPU communication, enhancing the overall efficiency of your HPC workflows.

Medical Research and Imaging

The 2XV100 GPU enables faster processing and analysis of medical images, allowing for more accurate diagnoses, precise treatment planning, and efficient drug development. It's computational prowess and high-bandwidth memory (HBM2) provide the performance needed to accelerate your workflows.

Data Analytics

The specifications of 2XV100 turbocharge data preprocessing, analysis, and insight extraction tasks. Whether you're delving into clustering, classification, regression, or graph analytics, this instance’s parallel processing capabilities dramatically accelerate computation time, hence letting you derive actionable insights and make data-driven decisions swiftly.

Benefits of E2E GPU Cloud

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NVIDIA Certified Elite CSP Partner

We are NVIDIA Certified Elite Cloud Service provider partner. Build or launch pre-installed software Cloud GPUs to ease your work

NVIDIA Certified Hardware

We are using NVIDIA certified hardware for GPU accelerated workloads.

Flexible Pricing

We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.

GPU-accelerated 1-click NGC Containers

E2E Cloud GPUs have super simple one click support for NGC containers for deploying NVIDIA certified solutions for AI/ML/NLP/Computer Vision and Data Science workloads.

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Frequently Asked Questions

Why choose E2E Cloud to launch 2XV100?

E2E Cloud allows developers to deploy high-performance GPUs like the NVIDIA 2XV100 through a pay-per-use model. Its price-performance ratio and competitive pricing make it a top choice for both Indian and global markets, providing an ideal environment for running machine learning tasks. The process of launching the NVIDIA 2XV100 GPU on E2E Cloud is simple. After signing up on MyAccount and accessing the GPU instances section, users can select the 2XV100 GPU, specify their desired resources, and deploy the instance. E2E Cloud offers a user-friendly interface and comprehensive documentation to assist users throughout the process.

What are the benefits of running NVIDIA 2XV100 GPU for machine learning tasks?

Developers can leverage 2XV100’s capabilities to train and deploy deep learning models for various applications, including image classification, natural language processing, sentiment analysis, and recommender systems. Moreover, it proves beneficial in tasks like data preprocessing, feature extraction, and model optimization. The NVIDIA 2XV100 GPU offers several advantages.

The high number of CUDA cores and Tensor Cores contribute to better performance, significantly accelerating both training and inference processes. The GPU also boasts ample memory capacity and high memory bandwidth, ensuring efficient handling of large datasets. In addition, the 2XV100 GPU is designed to seamlessly support popular deep learning frameworks and libraries, streamlining the development and deployment of machine learning models.

Can I deploy distributed machine learning training on E2E Cloud with multiple NVIDIA 2XV100 GPUs?

Yes, E2E Cloud supports distributed machine learning training with multiple NVIDIA 2XV100 GPUs. By utilizing NVLink technology, you can interconnect multiple 2XV100 GPUs and leverage their combined computational power for distributed training. This allows you to tackle larger and more complex machine learning tasks that require parallel processing and distributed computing, effectively reducing training time and enhancing overall performance.

How does E2E Cloud ensure predictable performance for machine learning tasks?

E2E Cloud ensures predictable performance for machine learning tasks by offering a reliable and high-performance infrastructure. The platform is designed to deliver consistent and stable performance, minimizing fluctuations that can impact the reliability and accuracy of your models. By leveraging the power of the NVIDIA 2XV100 GPU and optimizing the underlying infrastructure, E2E Cloud provides a dependable environment for running machine learning workloads with predictable and consistent performance.

How does E2E Cloud support scalability for machine learning workloads with the NVIDIA 2XV100 GPU?

E2E Cloud offers scalable solutions for machine learning workloads with the NVIDIA 2XV100 GPU. With effortless scalability, you have the freedom to adjust the number of GPU instances according to your workload demands. E2E Cloud's adaptable infrastructure guarantees access to resources that can handle sudden increases in demand during peak periods. This seamless and efficient scalability empowers you to effortlessly scale your machine learning tasks while ensuring optimal performance.

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Nvidia 2xV100 Tensor Core Cloud GPU, 64 GB - E2E Cloud

Product Enquiry Form

Product Features

High Performance Computing

Next Generation NVLink

Tensor Cores

HBM2 Memory

Table of Contents

Why Choose NVIDIA TESLA V100 GPU?

Programmability

New Streaming Multiprocessor (SM) Architecture for Deep Learning:

AI Inference

Real-world Applications of 2XV100 Cloud GPU

Benefits of E2E GPU Cloud

No Hidden Fees

NVIDIA Certified Elite CSP Partner

NVIDIA Certified Hardware

Flexible Pricing

GPU-accelerated 1-click NGC Containers

Documentation & Resources

About Us

What Our Customers Say

Press and Media Mentions

Frequently Asked Questions

Why choose E2E Cloud to launch 2XV100?

What are the benefits of running NVIDIA 2XV100 GPU for machine learning tasks?

Can I deploy distributed machine learning training on E2E Cloud with multiple NVIDIA 2XV100 GPUs?

How does E2E Cloud ensure predictable performance for machine learning tasks?

How does E2E Cloud support scalability for machine learning workloads with the NVIDIA 2XV100 GPU?

Build on the most powerful infrastructure cloud