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High-performance GPU Cloud for Linux

Power up your performance with Nvidia GPU Cloud

  • 40-50% Lesser Cost
  • Flexible Pricing with Zero Vendor lock-in
  • High-Performance Scalable Computing
  • 24/7 Advanced Support
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Nvidia Cloud GPU Plans and Pricing for demanding workloads

Transform Your Workflows with Powerful Cloud GPU Solutions

Experience the power of Linux cloud GPUs for seamless cloud gaming and cutting-edge machine learning. Our robust GPU servers and hosting solutions, including Nvidia cloud GPU, deliver unmatched performance with virtual GPUs. Scale effortlessly with top cloud GPU providers and elevate your projects today!

Maximize Potential with High-Performance GPU Cloud Hosting

Cloud GPU Use Cases
Machine Learning and AI: The Future at Your Fingertips
Harness GPU servers to power machine learning and AI. These high-performance machines excel at parallel computations, significantly reducing training times while enhancing accuracy. Whether it’s image and speech recognition or natural language processing, leveraging Nvidia Cloud GPU unlocks new possibilities in AI. from image and speech recognition to natural language processing.
Scientific Simulations: Accelerating Discovery
Cloud GPUs are transforming scientific research by enabling rapid simulations. From weather predictions to fluid dynamics and materials science, GPUs efficiently process vast datasets, facilitating deep data analysis and optimization.
Video Rendering and Transcoding: Creating Masterpieces
For video creators, speed is crucial. Cloud GPUs enhance video rendering and transcoding, allowing high-quality content production at remarkable speeds, streamlining editing, streaming, and production.
Gaming and Virtual Reality: Immerse Yourself
Elevate cloud gaming experience with high-performance dedicated GPU servers, delivering stunning visuals and responsive gameplay. With virtual GPUs, players can enjoy high-quality gaming on any device, breaking barriers and uniting gaming communities.

Nvidia Cloud GPUs: Key Features and Benefits

Instant Access to High Performance

Instant Access to High Performance

Get immediate access to powerful computing resources for tasks like machine learning and 3D rendering, eliminating lengthy setup times associated with traditional hardware.
Scalability On Demand

Scalability On Demand

Easily scale and adjust GPU resources based on project demands. This flexibility helps optimize resource use, reducing waste while maximizing performance.
Hassle-Free Maintenance

Hassle-Free Maintenance

Focus on innovation and let the provider handle routine maintenance, covering software updates, security, and hardware repairs.
Enhanced Collaboration

Enhanced Collaboration

Enjoy real-time collaboration with remote teams, enabling multiple users to access high-performance resources simultaneously ideal for data-intensive projects.
Cutting-Edge Technology

Cutting-Edge Technology

Get access to the latest hardware and technologies, keeping your organization competitive and equipped with the most effective tools for your projects.
Improved Workflow Efficiency

Improved Workflow Efficiency

Utilize Cloud GPUs to significantly reduce processing times for complex computations, enhancing workflow efficiency and accelerating time-to-market for products and services.

50K+ people trust ZNetLive for their IT needs

ZNetLive is a leading provider of services for cloud computing. We are servicing over 50,000 customers across the globe. Our team of experts are available 24/7 to provide support and guidance, ensuring that your IT needs are always met.

  • The move to AWS (Amazon Web Services) Cloud was the best decision, undoubtedly. ZNetLive further simplified the entire process by helping our team set up our systems on AWS Cloud.

    Mr. Satish Jain

    AGM - Business Transformation,
    B. Lal Clinical Laboratory Pvt. Ltd.

    After using AWS from ZNetLive, we do not have to think any more about building and operating the infrastructure. The most important benefit is we can now focus on our time, money, and energy to create great experiences for our customers.

    Mr. Siddharth Ajay Singh

    Managing Director and CEO Jumbo Finvest India Ltd.

  • By providing Microsoft’s Office 365 solution, ZNetLive addressed all our security requirements and confidentiality of our communication through mail along with features like web conferencing, enhanced mailbox size and more at much lesser price than Google apps we were using.

    Mr. Satyendra Johari

    MD, Johari Digital Healthcare Limited.

    The move to AWS (Amazon Web Services) Cloud was the best decision, undoubtedly. ZNetLive further simplified the entire process by helping our team set up our systems on AWS Cloud.

    Mr. Satish Jain

    AGM - Business Transformation,
    B. Lal Clinical Laboratory Pvt. Ltd.

GPU FAQs

  • Who should use GPU cloud services?
    GPU cloud services can be used by anyone needing high computational power, such as data scientists, researchers, developers, financial analysts and video editors & animators, for tasks like machine learning, 3D rendering, AI applications and LLMs.

  • What is GPU cloud hosting?
    GPU cloud hosting refers to the provision of GPU resources via cloud service providers. This allows users to access powerful GPUs on-demand for various applications such as AI training, machine learning, data analytics, and rendering, without the need to invest in expensive hardware.

  • What does a virtual GPU do?
    A virtual GPU (vGPU) allows multiple virtual machines (VMs) to share a single physical GPU. This technology enables efficient use of GPU resources by distributing the GPU’s processing power among several users or applications. vGPUs are commonly used in virtual desktop infrastructure (VDI), cloud gaming, and AI/ML workloads, providing high-performance graphics and compute capabilities without the need for each VM to have a dedicated physical GPU.

  • How is a virtual GPU different from a physical GPU?
    A virtual GPU (vGPU) and a physical GPU differ primarily in how they allocate and utilize resources. ZNetLive ensures 99.9% service uptime, provides 24/7 technical support and gives you an SLA backed guarantee that your applications and workloads will be up and running without any issues. Here's a breakdown of how vGPUs and physical GPUs compare:
    • Resource Sharing: A vGPU allows multiple VMs to share the resources of a single physical GPU, whereas a physical GPU is dedicated to a single machine or application.
    • Flexibility vGPUs provide greater flexibility by enabling dynamic allocation of GPU resources based on demand, while physical GPUs are fixed in their allocation.
    • Cost Efficiency Using vGPUs can be more cost-effective as it maximizes the utilization of a single physical GPU across multiple users or applications, reducing the need for multiple physical GPUs.
    • Scalability vGPUs offer better scalability, allowing organizations to scale GPU resources up or down as needed without the need for additional hardware.

  • Who are the leading GPU cloud providers?
    Leading GPU cloud providers include Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and NVIDIA Cloud. These providers offer a range of GPU instances tailored for different workloads, including AI/ML, HPC, and graphics-intensive applications.

  • What are the benefits of using Nvidia GPU Cloud from ZNetLive?
    ZNetLive's Nvidia GPU Cloud offers several benefits, including:
    • High Performance: Nvidia GPUs are optimized for AI, ML, and HPC workloads, providing superior performance.
    • Scalability: Easily scale GPU resources up or down based on demand.
    • Flexibility: Access a wide range of GPU-accelerated software and frameworks through the NVIDIA NGC catalogue.
    • Cost Efficiency: Pay-as-you-go pricing models help manage costs effectively.
    • 24/7 Expert Support: Dedicated assistance to keep your operations running smoothly.

  • How are GPUs used in machine learning?
    GPUs are used in machine learning to accelerate the training and inference of models. They handle the parallel processing of large datasets and complex computations more efficiently than CPUs. This results in faster training times and the ability to handle more complex models, making GPUs essential for modern AI and ML applications.

  • What is cloud gaming and how does it work?
    Cloud gaming allows users to play video games streamed from remote servers to their devices. Instead of running the game locally, the game is processed on powerful cloud servers, and the video output is streamed to the player’s device. This enables high-quality gaming experiences on devices that might not have the necessary hardware to run the games natively.
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