Nvidia 2xV100 Tensor Core Cloud GPU, 64 GB - E2E Cloud
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 dual NVIDIA Tesla V100s, each with 32 GB of GPU memory. The V100 pairs 5,120 CUDA Cores and 640 Tensor Cores with 32 GB/sec GPU interconnect bandwidth. You can now rent the NVIDIA V100 GPU for flexible, high-performance computing—without the upfront hardware cost.
Learn more about NVIDIA V100
NVIDIA V100 DatasheetProduct Enquiry Form
Technical Specifications of the NVIDIA 2xV100 GPU
NVIDIA V100 Series
V100 PCIe
V100 SXM2
V100S PCIe
GPU Architecture
NVIDIA Volta
NVIDIA Tensor Cores
640
NVIDIA CUDA® Cores
5,120
Double-Precision Performance
7 TFLOPS
7.8 TFLOPS
8.2 TFLOPS
Single-Precision Performance
14 TFLOPS
15.7 TFLOPS
16.4 TFLOPS
Tensor Performance
112 TFLOPS
125 TFLOPS
130 TFLOPS
GPU Memory
32 GB /16 GB HBM2
32 GB HBM2
Memory Bandwidth
900 GB/sec
1134 GB/sec
ECC
Yes
Interconnect Bandwidth
32 GB/sec
300 GB/sec
32 GB/sec
System Interface
PCIe Gen3
NVIDIA NVLink™
PCIe Gen3
Form Factor
PCIe Full Height/Length
SXM2
PCIe Full Height/Length
Max Power Consumption
250 W
300 W
250 W
Thermal Solution
Passive
Compute APIs
CUDA, DirectCompute, OpenCL™, OpenACC®
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.
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 commonBenefits of E2E GPU Cloud
No Hidden Fees
No hidden or additional charges. What you see on pricing charts is what you pay.
Flexible Pricing
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
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
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.
NVIDIA Certified Hardware
We are using NVIDIA certified hardware for GPU accelerated workloads.
What Our Customers Say
For over a decade, we have delighted our customers with stellar infrastructure and support.
Press and Media Mentions
Listed on NSE. MeitY Empaneled. Loved by Press.
About Us
E2E Networks Ltd is an India-focused Cloud Computing Company, pioneering the introduction of contract-less cloud computing for Indian startups and SMEs. The E2E Networks Cloud has been employed by numerous successfully scaled-up startups such as Zomato, Cardekho, Healthkart, Junglee Games, 1mg, and many others. It played a crucial role in facilitating their growth from the startup stage to achieving multi-million Daily Active Users (DAUs).
Frequently Asked Questions
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.
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.
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.
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.
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.