Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon EKS Anywhere is a recently introduced option for deploying Amazon EKS that simplifies the process of creating and managing Kubernetes clusters on-premises, whether on your dedicated virtual machines (VMs) or bare metal servers. This solution offers a comprehensive software package designed for the establishment and operation of Kubernetes clusters in local environments, accompanied by automation tools for effective cluster lifecycle management. EKS Anywhere ensures a uniform management experience across your data center, leveraging the capabilities of Amazon EKS Distro, which is the same Kubernetes version utilized by EKS on AWS. By using EKS Anywhere, you can avoid the intricacies involved in procuring or developing your own management tools to set up EKS Distro clusters, configure the necessary operating environment, perform software updates, and manage backup and recovery processes. It facilitates automated cluster management, helps cut down support expenses, and removes the need for multiple open-source or third-party tools for running Kubernetes clusters. Furthermore, EKS Anywhere comes with complete support from AWS, ensuring that users have access to reliable assistance whenever needed. This makes it an excellent choice for organizations looking to streamline their Kubernetes operations while maintaining control over their infrastructure.
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).
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
Yes
AWS Neuron
Yes
Amazon EC2 G5 Instances
Yes
Amazon EKS
Yes
Amazon Web Services (AWS)
Yes
Ambient Mesh
Yes
Isovalent
Yes
Kubernetes
Yes
Tetrate
Yes
Integrations
AWS Marketplace
No
AWS Neuron
No
Amazon EC2 G5 Instances
No
Amazon EKS
No
Amazon Web Services (AWS)
No
Ambient Mesh
No
Isovalent
No
Kubernetes
No
Tetrate
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/eks/eks-anywhere/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/bright-cluster-manager
Product Features
Container Management
Access Control
No
Application Development
No
Automatic Scaling
No
Build Automation
No
Container Health Management
No
Container Storage
No
Deployment Automation
No
File Isolation
No
Hybrid Deployments
No
Network Isolation
No
Orchestration
No
Shared File Systems
No
Version Control
No
Virtualization
No
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