Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
GPU.ai is a cloud service designed specifically for GPU infrastructure aimed at artificial intelligence tasks. The platform provides two primary offerings: the GPU Instance, which allows users to initiate compute instances equipped with the latest NVIDIA GPUs for various functions such as training, fine-tuning, and inference, and a model inference service where users can upload their pre-trained models, with GPU.ai managing the deployment process. Among the available hardware options are the H200s and A100s, catering to different performance requirements. Additionally, GPU.ai accommodates custom requests through its sales team, ensuring quick responses—typically within about 15 minutes—for those with specific GPU or workflow needs, making it a versatile choice for developers and researchers alike. This flexibility enhances user experience by enabling tailored solutions that align with individual project demands.
Description
With just one command, you can swiftly create an Ubuntu virtual machine using Multipass, which is capable of launching and managing VMs while configuring them with cloud-init, akin to public cloud environments. This tool allows you to experiment with cloud launches right on your local machine at no cost, and in just five minutes, you'll realize how effortlessly a lightweight cloud setup can be achieved. To get started, you can launch several LTS instances, check their status, execute commands, apply cloud-init configurations, and remove older instances as needed. For those looking to master the Linux command line, the "Ubuntu Server CLI cheat sheet" serves as a quick reference for skills ranging from basic file management to advanced deployments like Kubernetes and OpenStack. Multipass also features a command line interface that simplifies the launching, management, and interaction with Linux instances. You'll find that downloading a fresh image is incredibly fast, enabling you to have a fully operational VM in mere minutes. Furthermore, you can create Ubuntu instances and initialize them with cloud-init metadata, similar to setups on AWS, Azure, Google, IBM, and Oracle clouds, allowing you to effectively simulate a cloud deployment directly on your workstation. This capability makes it easier than ever to experiment and learn about cloud computing without the need for extensive resources.
API Access
Has API
No
API Access
Has API
No
Integrations
Airstack
No
Ansible
No
DEEPMOTION
Yes
Google Cloud Platform
No
Huawei FusionStorage
No
IBM Cloud
No
Intelligent Management Center
No
Kubernetes
No
Oracle Cloud CX
No
PostgreSQL
No
Integrations
Airstack
Yes
Ansible
Yes
DEEPMOTION
No
Google Cloud Platform
Yes
Huawei FusionStorage
Yes
IBM Cloud
Yes
Intelligent Management Center
Yes
Kubernetes
Yes
Oracle Cloud CX
Yes
PostgreSQL
Yes
Pricing Details
$2.29 per hour
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
GPU.ai
Country
United States
Website
gpu.ai/
Vendor Details
Company Name
Canonical
Founded
2010
Country
United Kingdom
Website
multipass.run/
Product Features
Product Features
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
No
Configuration Management
No
Data Migration
No
Data Security
No
Load Balancing
No
Log Access
No
Network Monitoring
No
Performance Monitoring
No
SLA Monitoring
No