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Description
GPUYard stands as a leading force in the global market, offering top-tier dedicated servers and colocation services specifically designed for AI researchers, gamers, 3D artists, and developers alike. We provide unmatched access to state-of-the-art NVIDIA GPUs, ranging from the 3000 series up to the cutting-edge 5000 series, guaranteeing that even the most resource-intensive tasks—such as large language model training and intricate simulations—are executed with maximum efficiency and power.
Our infrastructure is equipped with a wide selection of high-performance CPUs from renowned manufacturers like Intel, AMD, and Ampere, enabling you to customize your system to perfectly align with your unique workload requirements. With an extensive presence across more than 250 locations worldwide, we effectively minimize latency by positioning our services closer to your end users. Our network boasts exceptional speeds, offering options from 1 Gbps to 100 Gbps, all backed by premier carriers like AT&T and Lumen, along with unmetered bandwidth choices for complete flexibility.
Moreover, GPUYard ensures a robust support system with 24/7/365 expert assistance, complemented by an intuitive control panel and straightforward billing practices, thus providing a reliable foundation to propel your next major endeavor. This commitment to excellence not only enhances performance but also simplifies the user experience, allowing you to focus on your work without any technical distractions.
Description
The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes.
This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions.
Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Gaia
NVIDIA NGC
OpenLIT
Integrations
AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
Gaia
NVIDIA NGC
OpenLIT
Pricing Details
$100
Free Trial
Free Version
Pricing Details
$3.06 per hour
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GPUYard
Founded
2003
Country
United States
Website
www.gpuyard.com
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq
Product Features
Dedicated Server Hosting
24/7 On-site Support
Built-in Backup Drives
DDOS Protection
IMPI Access
Off Server Backups
Root Level
SSD Storage
Uptime SLA
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization