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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Segmind simplifies access to extensive computing resources, making it ideal for executing demanding tasks like deep learning training and various intricate processing jobs. It offers environments that require no setup within minutes, allowing for easy collaboration among team members. Additionally, Segmind's MLOps platform supports comprehensive management of deep learning projects, featuring built-in data storage and tools for tracking experiments. Recognizing that machine learning engineers often lack expertise in cloud infrastructure, Segmind takes on the complexities of cloud management, enabling teams to concentrate on their strengths and enhance model development efficiency. As training machine learning and deep learning models can be time-consuming and costly, Segmind allows for effortless scaling of computational power while potentially cutting costs by up to 70% through managed spot instances. Furthermore, today's ML managers often struggle to maintain an overview of ongoing ML development activities and associated expenses, highlighting the need for robust management solutions in the field. By addressing these challenges, Segmind empowers teams to achieve their goals more effectively.

Description

Simplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services No 
Amazon SageMaker Ground Truth No 
Amazon Web Services (AWS) No 
Azure Kubernetes Service (AKS) No 
Azure OpenAI Service No 
BentoML No 
Bitbucket No 
Comet No 
Feast No 
LangChain No 
Llama 2 No 
Llama 3 No 
Llama 3.1 No 
Llama 3.3 No 
Microsoft Azure No 
MongoDB No 
Prodigy No 
PyTorch No 
Slack No 
Tekton No 

Integrations

AWS AI Services Yes 
Amazon SageMaker Ground Truth Yes 
Amazon Web Services (AWS) Yes 
Azure Kubernetes Service (AKS) Yes 
Azure OpenAI Service Yes 
BentoML Yes 
Bitbucket Yes 
Comet Yes 
Feast Yes 
LangChain Yes 
Llama 2 Yes 
Llama 3 Yes 
Llama 3.1 Yes 
Llama 3.3 Yes 
Microsoft Azure Yes 
MongoDB Yes 
Prodigy Yes 
PyTorch Yes 
Slack Yes 
Tekton Yes 

Pricing Details

$5
Free Trial Yes 
Free Version Yes 

Pricing Details

Free
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 No 
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) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Segmind

Founded

2020

Country

India

Website

Segmind.com

Vendor Details

Company Name

ZenML

Founded

2021

Country

United States

Website

zenml.io

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 

Product Features

Machine Learning

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

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