Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
NVIDIA's virtual GPU (vGPU) software delivers high-performance GPU capabilities essential for various tasks, including graphics-intensive virtual workstations and advanced data science applications, allowing IT teams to harness the advantages of virtualization alongside the robust performance provided by NVIDIA GPUs for contemporary workloads. This software is installed on a physical GPU within a cloud or enterprise data center server, effectively creating virtual GPUs that can be distributed across numerous virtual machines, permitting access from any device at any location. The performance achieved is remarkably similar to that of a bare metal setup, ensuring a seamless user experience. Additionally, it utilizes standard data center management tools, facilitating processes like live migration, and enables the provisioning of GPU resources through fractional or multi-GPU virtual machine instances. This flexibility is particularly beneficial for adapting to evolving business needs and supporting remote teams, thus enhancing overall productivity and operational efficiency.
Description
Skyportal is a cloud platform utilizing GPUs specifically designed for AI engineers, boasting a 50% reduction in cloud expenses while delivering 100% GPU performance. By providing an affordable GPU infrastructure tailored for machine learning tasks, it removes the uncertainty of fluctuating cloud costs and hidden charges. The platform features a smooth integration of Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers, all finely tuned for Ubuntu 22.04 LTS and 24.04 LTS, enabling users to concentrate on innovation and scaling effortlessly. Users benefit from high-performance NVIDIA H100 and H200 GPUs, which are optimized for ML/AI tasks, alongside instant scalability and round-the-clock expert support from a knowledgeable team adept in ML workflows and optimization strategies. In addition, Skyportal's clear pricing model and absence of egress fees ensure predictable expenses for AI infrastructure. Users are encouraged to communicate their AI/ML project needs and ambitions, allowing them to deploy models within the infrastructure using familiar tools and frameworks while adjusting their infrastructure capacity as necessary. Ultimately, Skyportal empowers AI engineers to streamline their workflows effectively while managing costs efficiently.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
Yes
Armet AI
Yes
Azure Marketplace
Yes
CUDA
No
IBM Spectrum LSF Suites
Yes
IONOS Cloud GPU Servers
Yes
IREN Cloud
Yes
Kubernetes
No
Mistral Compute
Yes
NVIDIA Base Command Manager
Yes
Integrations
AWS Marketplace
No
Armet AI
No
Azure Marketplace
No
CUDA
Yes
IBM Spectrum LSF Suites
No
IONOS Cloud GPU Servers
No
IREN Cloud
No
Kubernetes
Yes
Mistral Compute
No
NVIDIA Base Command Manager
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$2.40 per hour
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/virtual-solutions/
Vendor Details
Company Name
Skyportal
Country
United States
Website
www.skyportal.ai/
Product Features
Server Virtualization
Audit Management
No
Health Monitoring
No
Live Machine Migration
No
Multi-OS Virtual Machines
No
Patching / Backup
No
Performance Log
No
Performance Optimization
No
Rapid Provisioning
No
Security Management
No
Type 1 / Type 2 Hypervisor
No