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What is Renderro?

With just a single click, you can effortlessly access your high-performance PC from any device, wherever you are, at any time. Experience unparalleled performance with up to 96 cores operating at 2.8 GHz, a remarkable 1360 GB of RAM, and 16 NVIDIA A100 80 GB graphics cards at your disposal. You also have the option to expand your storage and specifications as needed. We simplify the process, enabling you to focus on what is most important—your creative projects. Our range of plans caters to those who wish to use the Cloud PC independently or as part of a collaborative team. Personalize your hardware configuration to meet your specific requirements and smoothly manage your Cloud Desktop via your web browser or desktop application, no matter your location. Renderro Cloud Storage acts as a centralized repository for all your high-quality designs and resources, making them readily accessible when you need them. This scalable storage option means you won’t face limitations due to project file sizes, and you can modify your storage capacity as required. Additionally, Cloud Drives can be shared seamlessly across multiple Cloud Desktops, facilitating smooth transitions between devices without the need for repetitive file transfers, which significantly boosts your productivity and enhances your workflow. Enjoy the freedom and power of cloud technology to elevate your creative endeavors to new heights.

What is NVIDIA GPU-Optimized AMI?

The NVIDIA GPU-Optimized AMI is a specialized virtual machine image crafted to optimize performance for GPU-accelerated tasks in fields such as Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). With this AMI, users can swiftly set up a GPU-accelerated EC2 virtual machine instance, which comes equipped with a pre-configured Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, making the setup process efficient and quick. This AMI also facilitates easy access to the NVIDIA NGC Catalog, a comprehensive resource for GPU-optimized software, which allows users to seamlessly pull and utilize performance-optimized, vetted, and NVIDIA-certified Docker containers. The NGC catalog provides free access to a wide array of containerized applications tailored for AI, Data Science, and HPC, in addition to pre-trained models, AI SDKs, and numerous other tools, empowering data scientists, developers, and researchers to focus on developing and deploying cutting-edge solutions. Furthermore, the GPU-optimized AMI is offered at no cost, with an additional option for users to acquire enterprise support through NVIDIA AI Enterprise services. For more information regarding support options associated with this AMI, please consult the 'Support Information' section below. Ultimately, using this AMI not only simplifies the setup of computational resources but also enhances overall productivity for projects demanding substantial processing power, thereby significantly accelerating the innovation cycle in these domains.

Media

Media

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Gaia
NVIDIA NGC
OpenLIT

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Gaia
NVIDIA NGC
OpenLIT

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$3.06 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Renderro

Date Founded

2018

Company Location

Poland

Company Website

renderro.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq

Categories and Features

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

HPC

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