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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The CloudBroker Platform offers a unified account to seamlessly access multiple cloud providers. Designed for effortless management and operation of virtual machines, clusters, and software, it enables "one-click deployment" across various cloud environments while significantly automating processes such as software license billing and compute consumption tracking. Additionally, it simplifies the initialization of virtual machines, creation of software images, and deployment of infrastructures—all hosted securely in Germany. Your identity and privacy are safeguarded, as the user management system is fully integrated and shielded from connected Cloud Resource Providers, ensuring they remain unaware of which user accounts are utilizing cloud or HPC resources at any given time. Organizations can group one or more users under specific accounts, assigning tailored roles and permissions for effective collaboration. The platform is particularly advantageous for compute-heavy tasks, offering low-cost solutions for demanding workloads. Furthermore, its user-friendly interface enhances overall usability, making it an attractive choice for businesses looking to optimize their cloud operations.

Description

You can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 Trn2 Instances No 
Amazon EKS No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Anyscale No 
Apache Airflow No 
Azure Kubernetes Service (AKS) No 
Dask No 
Databricks No 
Feast No 
Flyte No 
Google Cloud Platform No 
Google Kubernetes Engine (GKE) No 
Kubernetes No 
LanceDB No 
MLflow No 
PyTorch No 
Snowflake No 
Union Cloud No 
io.net No 

Integrations

Amazon EC2 Trn2 Instances Yes 
Amazon EKS Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Anyscale Yes 
Apache Airflow Yes 
Azure Kubernetes Service (AKS) Yes 
Dask Yes 
Databricks Yes 
Feast Yes 
Flyte Yes 
Google Cloud Platform Yes 
Google Kubernetes Engine (GKE) Yes 
Kubernetes Yes 
LanceDB Yes 
MLflow Yes 
PyTorch Yes 
Snowflake Yes 
Union Cloud Yes 
io.net Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

Free
Open source. Consumption-based.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
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 Yes 
Mac Yes 
Linux Yes 
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 Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

cloudSME UG

Founded

2016

Country

Germany

Website

www.cloudsme.eu

Vendor Details

Company Name

Anyscale

Founded

2019

Country

United States

Website

ray.io

Product Features

SaaS Management

License Management Yes 
Onboarding No 
Renewal Management No 
SaaS Operations Management Yes 
Shadow IT Detection No 
Spend Management Yes 
Subscription Management Yes 
Usage Tracking / Analytics No 
Vendor Management Yes 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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