Deliver Real-Time Insights with NVIDIA L4 Cloud GPU for Smart Spaces

With its universal and energy-efficient capabilities, the NVIDIA L4 Tensor Core GPU is an ideal solution for data scientists, technology professionals, and anyone seeking optimal performance in their cloud-based workloads. E2E Cloud recognizes the importance of empowering its customers with the latest and most powerful hardware, which is why they have integrated the NVIDIA L4 Cloud GPU into their portfolio.

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One of the standout features of the NVIDIA L4 Cloud GPU is its ability to deliver high throughput and low latency in any server environment. Its low-profile form factor makes it an attractive option for various deployment scenarios, from edge computing to data centers and the cloud. E2E Cloud is proud to offer this cost-effective and energy-efficient solution, enabling its customers to achieve exceptional performance and maximize their productivity while minimizing operational costs. By introducing the NVIDIA L4 Cloud GPU to its platform, E2E Cloud solidifies its commitment to providing state-of-the-art cloud solutions that meet the diverse needs of data scientists, tech professionals, and businesses of all sizes. With the flexibility to launch GPU instances monthly, hourly, or yearly billing, E2E Cloud ensures that customers can optimize their GPU utilization and cost-effectively scale their operations.

Learn more about L4 Cloud GPU

NVIDIA L4 Datasheet

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Powered up your machine learning tasks with L4 and leverage their unprecedented features

Superior Energy Efficiency

With up to 99 percent better energy efficiency, the NVIDIA L4 Cloud GPU significantly lowers the total cost of ownership. By leveraging the power of Tensor Cores, enterprises can reduce energy consumption, rack space requirements, and overall carbon footprint, leading to substantial cost savings and environmental benefits.

Reduced Carbon Footprint

Switching from CPUs to NVIDIA L4s in a 2 megawatt (MW) data center can yield remarkable energy savings. The energy conserved can power nearly 2,000 homes for one year or offset the carbon emissions equivalent to planting 172,000 trees over a 10-year period. Embracing NVIDIA L4 Cloud GPU aligns with environmental sustainability goals, making it an attractive choice for eco-conscious businesses.

Embracing video content in real time

NVIDIA L4 GPUs, equipped with fourth-generation Tensor Cores and increased GPU memory, elevate the understanding of video content to unprecedented heights when combined with the CV-CUDA library. With 1.5 times larger GPU memory and advanced Tensor Cores, L4 GPUs enable enterprises to achieve a remarkable 120-fold improvement in AI video performance compared to CPU-based solutions. This breakthrough empowers businesses to gain real-time insights for content personalization, enhance search accuracy, identify objectionable content, and deploy intelligent spatial solutions.

Seamless Integration with E2E Cloud

As part of E2E Cloud's offerings, the NVIDIA L4 Cloud GPU seamlessly integrates into their cloud computing platform. Customers can leverage the power of NVIDIA L4s along with E2E Cloud's competitive pricing, optimal solutions, and extensive customer base, providing a comprehensive and high-performance cloud computing experience tailored to the needs of data scientists and tech professionals.

Why choose NVIDIA L4?

USPs of NVIDIA L4 Cloud GPU on E2E Cloud

1. Unmatched Performance

NVIDIA L4 Cloud GPU, available exclusively on E2E Cloud, delivers unrivaled performance for data scientists and tech professionals. With its advanced architecture and cutting-edge technology, it offers blazing-fast processing power for demanding AI workloads.

2. Enhanced Efficiency

E2E Cloud's L4 Cloud GPU harnesses the power of NVIDIA's latest GPU technology to provide exceptional efficiency. Experience faster model training, accelerated inferencing, and seamless deployment of AI models, enabling you to optimize your productivity and save valuable time.

3. Versatile GPU Options

E2E Cloud offers a wide range of NVIDIA L4 Cloud GPU options, including the A100 80GB, A30, A40, and more. This ensures that you can choose the GPU that best suits your specific requirements, whether you need high memory capacity, advanced features, or a balance between performance and cost-effectiveness.

4. Scalable and Flexible

E2E Cloud's NVIDIA L4 Cloud GPU is built on a highly scalable and flexible infrastructure, allowing you to seamlessly scale your GPU resources based on your workload demands. Whether you are working on small-scale projects or large-scale AI deployments, E2E Cloud provides the flexibility to meet your needs.

5. Expert Support and Collaboration

E2E Cloud's commitment to customer satisfaction extends to comprehensive support and collaboration. Benefit from E2E Cloud's team of experienced professionals who are ready to assist you at every step, from initial setup to optimizing performance. Collaborate with other tech enthusiasts within the E2E Cloud community to enhance your AI projects further.

Experience the Next-Level GPU Power with E2E Cloud's NVIDIA L4 Cloud GPU. Maximize your AI capabilities, achieve breakthroughs in data science, and accelerate innovation like never before. Join us today!

Revolutionize Your AI Journey with L4 Cloud GPU: Unleashing Limitless Possibilities

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Real-world use cases of NVIDIA L4 Cloud GPU on E2E Cloud:

Autonomous Vehicle Development

E2E Cloud's L4 Cloud GPU provides the necessary computational power to accelerate the training and simulation of autonomous vehicle models. Data scientists and engineers can harness the advanced capabilities of L4 GPUs to enhance perception systems, object recognition, and path planning, ensuring safer and more efficient self-driving technology.

Natural Language Processing (NLP)

With the L4 Cloud GPU, E2E Cloud empowers data scientists to build and deploy sophisticated NLP models for tasks like sentiment analysis, language translation, and chatbot development. The high-performance capabilities of the L4 GPU significantly reduce training time and enable faster iterations in NLP model development.

Computer Vision and Image Processing

Leveraging the L4 Cloud GPU, E2E Cloud enables data scientists and researchers to process and analyze large-scale visual data efficiently. Applications include object detection, image classification, medical image analysis, and video analytics. The L4 GPU's accelerated computing power unlocks the potential for real-time visual processing and empowers professionals to create cutting-edge computer vision solutions.

Recommender Systems

E2E Cloud's L4 Cloud GPU is a game-changer for recommender system development. Data scientists can leverage the GPU's parallel processing capabilities to train complex recommendation models, significantly improving accuracy and performance. The L4 GPU's high memory capacity ensures seamless processing of large-scale user data, leading to more personalized and effective recommendations.

Deep Reinforcement Learning

E2E Cloud's L4 Cloud GPU provides the ideal infrastructure for training and optimizing deep reinforcement learning models. Data scientists can accelerate the training process for game-playing agents, robotics control, and other reinforcement learning applications. The L4 GPU's powerful performance enables faster convergence and empowers professionals to push the boundaries of AI-powered decision-making systems.

Benefits of E2E GPU Cloud

No Hidden Fees

No hidden or additional charges. What you see on pricing charts is what you pay.

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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Documentation & Resources

Best Cloud GPUs for Model Training

Training a model that involves intensive computation tasks on huge datasets can take days and even weeks to run using a single processor. However, if you design a program that offloads multiple operations on multiple GPUs, then you can not only reduce the training time but also increase the efficiency.

How to Use Cloud GPU Servers for Time Series Forecasting Using TensorFlow?

To build an ensemble model for time series forecasting using TensorFlow, we can combine the forecasts of several different models to improve accuracy and reduce the risk of relying on a single model.

Why Should Engineering Colleges go for Cloud GPUs?

To stay up with the latest innovations, learning methods have evolved as well. Earlier, computers were required for engineering students to learn and practice computer-related programs. But since the advent of AI/ML/DL, the requirement of courses offered within these domains by the universities has changed a lot. Recent years and the advent of such technologies have marked the importance of GPUs (Graphical Processing Units) for extra computing power.

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Senior Manager- IT Infra, Successive Technologies

We have been using E2E Networks for the past 6 months and I am extremely satisfied with the service and the customer support. Their servers are quite reliable and very cost-effective, especially the GPU machines. The team is always ready to solve any problem however small. Very happy to make E2E Networks our long-term partners

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Data Scientist at Studio Sirah

Have been using E2E Networks infra for a decade now and never had any issues. Scootsy ran 80% of the workload on E2E Networks before it was acquired by Swiggy.

Kunal Sheth

Founder GottaGo, Ex CTO at Scootsy/Antfarm.

We at CamCom are using E2E GPU servers for a while now and the price-performance is the best in the Indian market. We also have enjoyed a fast turnaround from the support and sales team always. I highly recommend the E2E GPU servers for machine learning, deep learning and Image processing purpose.

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E2E Cloud is NextGen PaaS / IaaS provider. It is a fully augmented and automated platform that is the best in practice in the current Cloud market. We are using E2E Networks for more than 5 years and are very much satisfied with the deliverables. They have very affordable pricing and are change-maker in the Indian Hosting Industry.

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Founder at Cantech

E2E GPU machines are superior in terms of performance and at the same time you end up saving more money compared to AWS and Azure. Not to mention the agility and skilled customer support that comes along.

Arvind Saini

VP of Engineering at Crownit (GoldVIP)

The customer support that E2E has provided us is beyond exceptional. Their quick response is what makes them stand apart from others and is second to none in the cloud space. We've been using their GPU instances for our Deep Learning workloads for quite a long time. The quality of service is amazing at a competitive price and we strongly recommend E2E.

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Founder, COO at Marsview.ai inc

Congratulations! Thanks for the fast, reliable, and cost-effective solution for my small startup since Mar 2016!

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Lead Software Engineer @ Gartner (previously CEB)

You guys are doing everything perfectly. I couldn't ask for anything more. Keep it up. Very happy with the service.

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Director @Zenwebnet

E2E Networks has helped me reach my 1st goal with its cloud platform. They gave us a trial to get used to the service. Happy with their product, will surely recommend others to try it once. Good support so far.

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For most startups, AWS EC2 is unnecessarily costly. Even better, for India get a machine from E2E Networks.

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Founder @ FindYogi

I am very much happy with E2E Networks Pvt. Ltd. I’m using your services for the past year and I have provided E2E with multiple clients. Whoever is looking for servers I strongly recommend E2E Networks.

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Relcode Technology Pvt. Ltd

I had a pleasant experience with E2E Network when I purchase the cPanel license plan. They provided the onboarding support when I generated a ticket for the purchase. Everything was delivered swiftly without any problems.

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Founder @ Infinity Software Solutions

Please reach out to e2e networks if you need any cloud services - their service is awesome, I want to rate 5/5 for their services.

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@Issani

We are using E2E Cloud servers since last 2 years. Very happy with cost-effective and high-performance compute nodes. We were able to reduce our hosting expenses by 40% without compromising on quality, security, and stability.

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Cofounder CTO, myCBSEguide

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System Administrator @Aravali College of Engg. & Mgmt

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Senior Manager @ Pharma Synth Formulations Limited

We have been using Kubernetes cluster on E2E Cloud and are reasonably satisfied with its performance. We were able to reduce our costs by 40% after migrating from Azure. My big thanks to the E2E Cloud team for launching a Cloud and helping Indian startups in reducing their cloud costs.

Amarjeet Singh

Co-Founder & CTO @ Zenatix

The platform is comfortable, support is good. 2 years anniversary completed in E2E.

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Co-Founder & CTO at Loora

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).

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Frequently Asked Questions

What is the NVIDIA L4 Cloud GPU, and how does it benefit data scientists and tech professionals on E2E Cloud?

The NVIDIA L4 Cloud GPU is the latest addition to E2E Cloud's GPU lineup, designed specifically for data science workloads. It offers enhanced performance, efficiency, and cost-effectiveness, empowering users to accelerate their data science projects with ease.

How does E2E Cloud integrate the NVIDIA L4 Cloud GPU into its platform?

E2E Cloud seamlessly integrates the NVIDIA L4 Cloud GPU into its existing infrastructure, providing data scientists and tech professionals with a powerful and reliable cloud computing environment. Users can easily provision and deploy L4 Cloud GPUs within their E2E Cloud instances, enabling them to harness the full potential of accelerated computing.

What are the key features and specifications of the NVIDIA L4 Cloud GPU offered by E2E Cloud?

The NVIDIA L4 Cloud GPU boasts a range of features, including a high-performance architecture, advanced AI capabilities, and optimized power efficiency. With 16 GB of GPU memory and support for popular frameworks like TensorFlow and PyTorch, it enables users to train and deploy models faster than ever before.

How does the NVIDIA L4 Cloud GPU on E2E Cloud enhance the data science workflow?

By leveraging the power of the NVIDIA L4 Cloud GPU on E2E Cloud, data scientists can significantly reduce training times and accelerate their model development cycles. The GPU's advanced capabilities enable users to handle larger datasets, perform complex computations, and achieve state-of-the-art results, ultimately boosting productivity and innovation.

How can I get started with the NVIDIA L4 Cloud GPU on E2E Cloud?

Getting started with the NVIDIA L4 Cloud GPU on E2E Cloud is simple. Visit our platform's website to create an account, choose the desired instance with the L4 Cloud GPU, and deploy your data science projects effortlessly. Our user-friendly interface and comprehensive documentation will guide you through the process, ensuring a smooth and efficient experience.

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