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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Exostellar is an intelligent AI infrastructure orchestration platform designed to manage complex, heterogeneous CPU and GPU environments at scale. It automates the thinking behind infrastructure operations by dynamically scaling resources, tuning workloads, and optimizing performance. Built as a single adaptive layer, Exostellar brings orchestration, optimization, and scalability together for hybrid and multi-cloud deployments. The platform enables advanced GPU and CPU management, including just-in-time provisioning and AI-assisted scheduling. Autonomous right-sizing ensures workloads always use the most efficient compute configuration. Exostellar supports vendor-agnostic environments, eliminating lock-in and increasing flexibility. Enterprise teams benefit from features like GPU virtualization, cluster orchestration, and live CPU migration without downtime. The platform dramatically improves utilization, allowing teams to run more workloads with the same infrastructure. Proven results include major gains in GPU efficiency, compute availability, and cloud cost savings. Exostellar empowers teams to focus on innovation instead of infrastructure management.

Description

High-performance tasks associated with data-heavy AI, IoT, and HPC workloads have traditionally relied on costly, top-tier processors or accelerators like Graphics Processing Units (GPUs) to function optimally. Additionally, organizations utilizing cloud-based platforms for demanding computational tasks frequently encounter trade-offs that can be less than ideal. For instance, the outdated nature of processors and hardware in cloud infrastructures often fails to align with the latest software applications, while also raising concerns over excessive energy consumption and environmental implications. Furthermore, users often find certain features of cloud services to be cumbersome and challenging, which hampers their ability to create tailored cloud solutions that meet specific business requirements. This difficulty in achieving a perfect balance can lead to complications in identifying appropriate billing structures and obtaining adequate support for their unique needs. Ultimately, these issues highlight the pressing need for more adaptable and efficient cloud solutions in today's technology landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)

Integrations

Amazon Web Services (AWS)

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Exostellar

Founded

2019

Country

United States

Website

exostellar.io

Vendor Details

Company Name

ScaleMatrix

Founded

2011

Country

United States

Website

www.scalematrix.com/scalecloud

Product Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Product Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

HPC

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