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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
NVIDIA DGX Cloud Lepton is an advanced AI platform that facilitates connections for developers to a worldwide network of GPU computing resources across various cloud providers, all through a singular interface. It provides a cohesive experience for discovering and leveraging GPU capabilities, complemented by integrated AI services that enhance the deployment lifecycle across multiple cloud environments. With immediate access to NVIDIA's accelerated APIs, developers can begin their projects using serverless endpoints and prebuilt NVIDIA Blueprints, along with GPU-enabled computing. When scaling becomes necessary, DGX Cloud Lepton ensures smooth customization and deployment through its expansive global network of GPU cloud providers. Furthermore, it allows for effortless deployment across any GPU cloud, enabling AI applications to operate within multi-cloud and hybrid settings while minimizing operational complexities, and it leverages integrated services designed for inference, testing, and training workloads. This versatility ultimately empowers developers to focus on innovation without worrying about the underlying infrastructure.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
CoreWeave
No
Crusoe
No
Fluidstack
No
Foundry
No
HYDRA Software
No
Lambda
No
Nebius
No
Nscale
No
Yotta
No
Integrations
CoreWeave
Yes
Crusoe
Yes
Fluidstack
Yes
Foundry
Yes
HYDRA Software
Yes
Lambda
Yes
Nebius
Yes
Nscale
Yes
Yotta
Yes
Pricing Details
$100
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
GPUYard
Founded
2003
Country
United States
Website
www.gpuyard.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/dgx-cloud-lepton/
Product Features
Dedicated Server Hosting
24/7 On-site Support
No
Built-in Backup Drives
No
DDOS Protection
No
IMPI Access
No
Off Server Backups
No
Root Level
No
SSD Storage
No
Uptime SLA
No
