Related Products
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About
Exostellar is a self-managed AI infrastructure orchestration platform built to simplify how enterprises run heterogeneous CPU and GPU environments. It intelligently handles scaling, scheduling, and optimization so AI developers and IT teams don’t have to manage infrastructure complexity manually. Exostellar unifies orchestration, optimization, and scalability into a single adaptive layer designed for hybrid and multi-cloud environments. The platform supports advanced CPU and GPU resource management, including just-in-time provisioning and AI-assisted scheduling. With autonomous right-sizing and smart workload tuning, Exostellar helps organizations maximize infrastructure utilization. It is vendor-agnostic and avoids lock-in, giving teams full control across clusters and clouds. By boosting efficiency and reducing costs, Exostellar significantly improves ROI for enterprise AI infrastructure.
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About
Kubex is an AI-powered Kubernetes resource optimization platform that helps organizations reduce cloud infrastructure costs, improve application performance, and automate workload management. The software uses deterministic machine learning and AI agents to continuously analyze resource utilization and optimize CPU, memory, nodes, autoscaling, and GPU infrastructure. Its automated rightsizing capabilities adjust container resource requests and limits based on observed workload patterns while minimizing performance risks. Kubex also supports intelligent node selection, pod bin packing, Horizontal Pod Autoscaler tuning, and GPU optimization for AI inference workloads. Its agentic automation engine allows teams to review optimization proposals, establish operational guardrails, and approve changes or enable autonomous execution.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Exostellar is ideal for enterprise AI infrastructure teams, ML engineers, platform engineers, and FinOps leaders managing large-scale CPU and GPU workloads across hybrid and multi-cloud environments
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Audience
DevOps engineers, site reliability engineers, platform engineering teams, Kubernetes administrators, cloud architects, FinOps professionals, infrastructure operations teams, AI infrastructure engineers, machine learning operations teams, cloud service providers, and enterprises seeking automated Kubernetes rightsizing, cloud cost optimization, GPU resource management, predictive autoscaling, and AI-powered infrastructure automation
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationExostellar
Founded: 2019
United States
exostellar.io
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Company InformationKubex
Founded: 1999
Canada
kubex.ai/
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Supported
AWS Marketplace
Not Supported
Docker
Not Supported
Google Cloud Platform
Not Supported
IBM Cloud
Not Supported
Kubernetes
Not Supported
Microsoft Azure
Not Supported
Red Hat OpenShift
Not Supported
VMware Cloud
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
AWS Marketplace
Supported
Docker
Supported
Google Cloud Platform
Supported
IBM Cloud
Supported
Kubernetes
Supported
Microsoft Azure
Supported
Red Hat OpenShift
Supported
VMware Cloud
Supported
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