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Description
Edka streamlines the establishment of a production-ready Platform as a Service (PaaS) using standard cloud virtual machines and Kubernetes, significantly minimizing the manual labor needed to manage applications on Kubernetes by offering preconfigured open-source add-ons that effectively transform a Kubernetes cluster into a comprehensive PaaS solution.
To enhance Kubernetes operations, Edka organizes them into distinct layers:
Layer 1: Cluster provisioning – A user-friendly interface that allows for the effortless creation of a k3s-based cluster with just one click and default settings.
Layer 2: Add-ons – A convenient one-click deployment option for essential components like metrics-server, cert-manager, and various operators, all preconfigured for use with Hetzner, requiring no additional setup.
Layer 3: Applications – User interfaces with minimal configurations tailored for applications that utilize the aforementioned add-ons.
Layer 4: Deployments – Edka ensures automatic updates to deployments in accordance with semantic versioning rules, offering features such as instant rollbacks, autoscaling capabilities, persistent volume management, secret/environment imports, and quick public accessibility for applications. Furthermore, this structure allows developers to focus on building their applications rather than managing the underlying infrastructure.
Description
NVIDIA Base Command Manager provides rapid deployment and comprehensive management for diverse AI and high-performance computing clusters, whether at the edge, within data centers, or across multi- and hybrid-cloud settings. This platform automates the setup and management of clusters, accommodating sizes from a few nodes to potentially hundreds of thousands, and is compatible with NVIDIA GPU-accelerated systems as well as other architectures. It facilitates orchestration through Kubernetes, enhancing the efficiency of workload management and resource distribution. With additional tools for monitoring infrastructure and managing workloads, Base Command Manager is tailored for environments that require accelerated computing, making it ideal for a variety of HPC and AI applications. Available alongside NVIDIA DGX systems and within the NVIDIA AI Enterprise software suite, this solution enables the swift construction and administration of high-performance Linux clusters, thereby supporting a range of applications including machine learning and analytics. Through its robust features, Base Command Manager stands out as a key asset for organizations aiming to optimize their computational resources effectively.
API Access
Has API
API Access
Has API
Integrations
Amazon Elastic Container Registry (ECR)
Docker
GitHub
Google Cloud Artifact Registry
Hetzner
Kubernetes
NVIDIA AI Enterprise
NVIDIA Base Command
NVIDIA Cumulus Linux
NVIDIA DGX Cloud
Integrations
Amazon Elastic Container Registry (ECR)
Docker
GitHub
Google Cloud Artifact Registry
Hetzner
Kubernetes
NVIDIA AI Enterprise
NVIDIA Base Command
NVIDIA Cumulus Linux
NVIDIA DGX Cloud
Pricing Details
€0
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
Edka
Founded
2013
Country
Spain
Website
edka.io
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/base-command/manager/
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports