Kubermatic Kubernetes PlatformKubermatic
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NVIDIA Run:aiNVIDIA
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Related Products
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About
Kubermatic Kubernetes Platform (KKP) helps enterprises successfully drive digital transformation by automating their cloud operations anywhere. KKP enables operations and DevOps teams to centrally manage VMs and containerized workloads across hybrid-cloud, multi-cloud, and edge environments with an intuitive self-service developer and operations portal. Kubermatic Kubernetes Platform is open source. Automate operations of thousands of Kubernetes clusters across multi-cloud, on-prem, and edge environments with unparalleled density and resilience. Setup and run your multicloud self service Kubernetes platform with the shortest time to market. Empower your developers and operations team to deploy their clusters in less than three minutes on any infrastructure. Centrally manage your workloads from a single dashboard with a consistent experience from cloud to on-prem to edge. Manage your cloud native stack at scale with enterprise level governance.
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About
NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
DevOps teams looking for an automation tool to manage VMs and containerized workloads across cloud environments
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Audience
Enterprises and AI teams seeking to optimize and scale GPU resources for AI training and inference across hybrid and multi-cloud environments
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationKubermatic
Founded: 2016
Germany
kubermatic.com
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/software/run-ai/
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Categories |
Categories |
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Cloud Management Features
Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval
Continuous Integration Features
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management
DevOps Features
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Enterprise Architecture Features
Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Idea Management
Modeling & Simulation
Project Management
Risk Assessment
Transformation Roadmapping
Version Control
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Integrations
Alibaba Cloud Enterprise Network
Amazon Web Services (AWS)
DigitalOcean
Google Cloud Platform
HPE Ezmeral
Hetzner
JFrog Artifactory
JOpt.TourOptimizer
KubeVirt
Kubernetes
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Integrations
Alibaba Cloud Enterprise Network
Amazon Web Services (AWS)
DigitalOcean
Google Cloud Platform
HPE Ezmeral
Hetzner
JFrog Artifactory
JOpt.TourOptimizer
KubeVirt
Kubernetes
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