Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects.
Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython.
Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).
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.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Elastic Container Registry (ECR)
No
Docker
No
GitHub
No
Google Cloud Artifact Registry
No
Hetzner
No
Integrations
Amazon Elastic Container Registry (ECR)
Yes
Docker
Yes
GitHub
Yes
Google Cloud Artifact Registry
Yes
Hetzner
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
€0
Pricing varies depending on subscription type
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
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
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/bright-cluster-manager
Vendor Details
Company Name
Edka
Founded
2013
Country
Spain
Website
edka.io
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
Yes
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
DevOps
Approval Workflow
No
Dashboard
Yes
KPIs
No
Policy Management
Yes
Portfolio Management
No
Prioritization
Yes
Release Management
Yes
Timeline Management
No
Troubleshooting Reports
No