GeForce NOW Description
NVIDIA's GeForce NOW is a cloud-gaming platform that allows users to stream high-performance PC games from remote servers to virtually any device, eliminating the need for a robust local GPU. You can link your current game libraries or enjoy a selection of supported free-to-play games. The service showcases RTX-enhanced visuals, provides access to a library of over 4,000 titles, and offers features like real-time ray tracing in addition to remarkably low latency streaming. For premium subscribers, it enables ultra-high resolutions reaching up to 5K and high frame rates, including 120 fps and even up to 360 fps under certain conditions, particularly when utilizing NVIDIA's advanced Blackwell/RTX-50-series cloud hardware. The "Install-to-Play" feature allows for a more seamless installation and launching of numerous games in your collection. Furthermore, GeForce NOW supports cloud saves for compatible games, allowing you to continue your gaming experience across different devices, while also dynamically adjusting the streaming quality to match your internet connection. This ensures a consistently smooth gaming experience, adapting to various network conditions.
GeForce NOW Alternatives
Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Google Cloud Platform
Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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NVIDIA Omniverse
NVIDIA Omniverse™ serves as a central hub that seamlessly integrates your current 3D workflows, transforming traditional linear pipelines into a dynamic, live-sync creation process that empowers you to design in unprecedented ways and at remarkable speeds. Observe how GeForce RTX 3D creators collaboratively produce an animated short through Omniverse Cloud, utilizing 3D assets from their preferred design and content creation software like Autodesk Maya, Adobe Substance Painter, Unreal Engine, and SideFX Houdini. With NVIDIA Omniverse, Sir Wade Neistadt, who engages with a diverse range of applications, can work without facing any bottlenecks. By combining the Omniverse Platform with an NVIDIA RTX™ A6000 equipped with NVIDIA Studio Drivers, he is able to, as he describes, “bring it all together, illuminate it, render it, and maintain everything in context using RTX rendering—all without the need to export data between applications, ensuring a seamless creative experience." This innovation not only enhances productivity but also fosters collaboration among creators, leading to richer and more intricate projects.
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Project G-Assist
NVIDIA has introduced Project G-Assist, a revolutionary AI assistant aimed at improving the gaming experience for GeForce RTX users by offering system optimizations, real-time diagnostics, and customizable peripherals through straightforward voice or text commands. This feature is embedded within the NVIDIA app, allowing G-Assist to automatically modify game settings for the best performance or visual quality, track and display essential performance metrics such as frame rates and system latency, and control lighting effects on compatible devices from manufacturers like Logitech, Corsair, MSI, and Nanoleaf. Utilizing a locally operated Small Language Model (SLM), G-Assist guarantees quick responsiveness and functions without requiring an internet connection. Users can easily activate G-Assist either through the NVIDIA app overlay or by pressing Alt+G, leveraging the GeForce RTX GPU to carry out AI inference tasks. Additionally, developers and tech enthusiasts have the opportunity to enhance G-Assist's functionality via a community-focused plugin architecture, providing ample resources and example plugins for inspiration. This innovative approach not only empowers users but also fosters a collaborative environment for ongoing development and improvement of the gaming experience.
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Pricing
Pricing Starts At:
$99.99 per year
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
NVIDIA
Year Founded:
1993
Headquarters:
United States
Website:
www.nvidia.com/en-us/geforce-now/
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Product Details
Platforms
Web-Based
Windows
Mac
iPhone App
iPad App
Android App
Chromebook
Types of Training
Training Docs
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support
GeForce NOW Features and Options
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