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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Navigating the complexities of leveraging cloud services can often be challenging for businesses. To simplify this process, we created BidElastic, a resource provisioning tool comprising two key elements: BidElastic BidServer, which reduces computational expenses, and BidElastic Intelligent Auto Scaler (IAS), which enhances the management and oversight of your cloud service provider. The BidServer employs simulation techniques and sophisticated optimization processes to forecast market changes and develop a strong infrastructure tailored to the spot instances of cloud providers. Adapting to fluctuating workloads requires dynamically scaling your cloud infrastructure, a task that is often more complicated than it seems. For instance, during a sudden surge in traffic, it could take up to 10 minutes to bring new servers online, resulting in lost customers who may choose not to return. Effectively scaling your resources hinges on accurately predicting computational workloads, and that's precisely what CloudPredict accomplishes; it harnesses machine learning to forecast these computational demands, ensuring your infrastructure can respond swiftly and efficiently. This capability not only helps retain customers but also optimizes resource allocation in real-time.

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 Web Services (AWS) Yes 
Amazon EC2 Yes 
Amazon EC2 Trn2 Instances No 
Amazon EKS No 
Amazon SageMaker 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 
TensorFlow No 
Union Cloud No 
io.net No 

Integrations

Amazon Web Services (AWS) Yes 
Amazon EC2 No 
Amazon EC2 Trn2 Instances Yes 
Amazon EKS Yes 
Amazon SageMaker 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 
TensorFlow Yes 
Union Cloud Yes 
io.net Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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

Types of Training

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

Vendor Details

Company Name

BidElastic

Country

Poland

Website

bidelastic.com/products-and-services/

Vendor Details

Company Name

Anyscale

Founded

2019

Country

United States

Website

ray.io

Product Features

Cloud Cost Management

Cost Reduction Optimization No 
Dashboard No 
Data Import/Export No 
Data Storage No 
Data Visualization No 
Resource Usage Reporting No 
Roles / Permissions No 
Spend and Cost Reporting No 

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 

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