Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

Development

Business Intelligence (BI)

Collaboration

Contract Analysis

Enterprise Content Management

Payment Facilitation

Visitor Management

Enterprise

Accounting

CTRM

Travel Management

Finance and Accounting

Applicant Tracking

Compensation Management

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Access Gateways

Application Server

Cloud Storage

Container Security

Data Center Backup

Data Preparation

Embedded Database

Enterprise Service Bus

Fraud Detection

Infrastructure-as-a-Service

Integration Platform as a Service (iPaaS)

LAN Switches

Message Oriented Middleware

Mobile Data Security

Mobile Identity

Monolithic Frame-based Disk Arrays

Network Performance Monitoring

Storage as a Service (STaaS)

Value-Added Resellers (VARs)

Virtualization Management

Website Hosting

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Customer Advocacy

Ecommerce Personalization

Email Marketing

Marketing Attribution

Marketing Automation

Mobile Advertising

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Task Management

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Sales Content Management

Sales Performance Management

Sales Training

Sales

Cloud Infrastructure Entitlement Management

Intrusion Detection

Virtualization Security

Security

Aviation

Fleet Management

Hospital Management

Intelligent Document Processing

Online Ordering

Online Voting

Practice Management

Veterinary

eDiscovery

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

MLflow

Open Source

Weights & Biases

Comet ML

Comet ML Inc.

Minitab Model Ops

Minitab

BentoML

ClearML

Allegro.pl (ClearML)

Datatron MLOps Platform

Datatron

Deep Block

Grid.ai

Amazon SageMaker

Iguazio

cnvrg.io

Pytorch

TensorFlow

Apache Spark

Kubernetes

### Machine Learning Operations (MLOps
Users consistently praise Valohai's machine learning operations (MLOps) functionality for its ability to streamline ML model development and provide a robust platform for tracking and tracing experiments and data. The platform's intuitive design and comprehensive features have garnered positive feedback, with users noting the ease of use and the platform's effectiveness in enhancing productivity for data science teams. Additionally, the exceptional customer support provided by Valohai has been a standout feature, with users appreciating the prompt assistance and expertise offered by the support team.

### Model Training and Experiments
Users universally praise Valohai's model training and experiment capabilities. They appreciate the platform's ability to streamline the process of running experiments, tracking model training runs, and managing data training efficiently. Valohai's flexibility in integrating with various tools and cloud services, along with its user-friendly interface, has garnered positive feedback from users who value productivity and ease of use in their machine learning workflows. The platform's support team's responsiveness and the wealth of resources available for users, especially beginners, have been highlighted as significant advantages. Additionally, users find Valohai's ability to scale up training on different machines and access scattered resources from a centralized location to be highly beneficial for conducting experiments effectively.

### Deployment and Production
Users generally believe that Valohai's deployment and production capabilities are top-notch, with many praising its ease of use, comprehensive documentation, and excellent customer support. The platform's ability to streamline ML workflows, automate processes, and integrate with various tools and services has been highlighted as a significant advantage. Additionally, users appreciate Valohai's flexibility in accommodating different needs, such as dynamic provisioning of GPU resources and adherence to security requirements. The cost-effectiveness, traceability, and versatility of Valohai's deployment features have garnered positive feedback, making it a preferred choice for deploying and managing models efficiently.

### Infrastructure and Compute Resources
User feedback on Valohai's compute and infrastructure resources varies. While some users praise the platform's flexibility in utilizing instances from various cloud providers like AWS, GCP, and Azure, others express concerns about the lack of comprehensive API documentation and immature API key management. The ability to execute arbitrary code and run computationally intensive tasks efficiently is highlighted as a significant advantage by many users. However, some reviewers mention the need for improvements in certain areas such as tag management and pipeline creation. Despite differing opinions, Valohai's infrastructure and compute resources capabilities seem to offer a mix of strengths and areas for enhancement, catering to a range of user needs and preferences.

### Cloud Services and Integration
Users unanimously praise Valohai's cloud services and integration capabilities, highlighting its flexibility in utilizing cloud resources from various providers like AWS, GCP, and Azure. The platform's ability to support arbitrary code execution for computationally intensive tasks has been a standout feature for many users. Additionally, the ease of tracking and tracing experiments, along with the efficient deployment of models without the complexities of bespoke cloud solutions, has garnered positive feedback. Valohai's integration with popular cloud platforms and the active support provided by their team have been commended for enhancing the overall user experience.

### Collaboration and Team Productivity
Users consistently praise Valohai's collaboration and team productivity features. They highlight the platform's ability to centralize data science experiments, models, and metrics, facilitating improved collaboration among team members. Valohai's support team is commended for their active assistance in streamlining workflows and enabling efficient communication within the team. Additionally, users appreciate the platform's capacity to automate tasks, allowing teams to focus on their respective roles effectively.

### Cost Management and Savings
Users unanimously praise Valohai for its exceptional cost-saving features and efficient customer support. The platform's ability to provide per/second charging of AWS EC2 instances is highlighted as a significant cost-saving advantage. Additionally, the traceability functionality is lauded for its value in ensuring transparency and reproducibility, particularly in industries like automotive where it is deemed essential. The knowledgeable customer support team further enhances the overall cost management experience for users. Valohai's generic design allows for diverse usage beyond machine learning tasks, making it a versatile and cost-effective solution for various operations.

### Customer Support and User Experience
Users generally believe that Valohai's customer support and user experience functionalities are top-notch, with many praising the platform for its stellar support team and user-friendly interface. Reviewers consistently highlight the platform's effective customer support, emphasizing the team's responsiveness and dedication to assisting users at all levels. The active support from Valohai's team, coupled with its smooth integration with cloud compute services, contributes to a positive user experience, making it a preferred choice for those seeking reliable customer support and streamlined workflows.

Valohai is a popular tool that has helped many users solve various business problems. Its GUI and easy-to-understand pipelines make it an excellent solution for everyone involved in the team. Users have praised Valohai for its machine learning features that help them develop and model complex data for telemarketing classification tasks. This has resulted in considerable cost savings, time savings, and ease of use.

Valohai's security features and cloud storage have also been highly appreciated by users, particularly those in need of DevSecOps pipelines to solve data metrics problems. Furthermore, Valohai's machine learning tools have been instrumental in identifying the most effective decision trees quickly during the process of improving throughput time and traceability. Additionally, Valohai is a convenient way to deploy TensorFlow code for shared use between clients and internal staff while taking advantage of deep learning features that make training and scaling up straightforward. Finally, users consider Valohai as one of the market's most production-ready DL versioning tools.

Cost Savings: Users have expressed appreciation for the per-second charging of AWS EC2 instances, which results in long-term cost savings. Several reviewers noted that Valohai is a cost-effective alternative to building an on-premise data center.

Traceability Feature: The traceability feature provided by Valohai is highly valued by users. Many reviewers have described it as invaluable and essential when working with consumer products or automotive customers. The ability to trace and reproduce every production model was mentioned multiple times.

Customer Support: Reviewers have praised the customer support offered by Valohai, highlighting knowledgeable personnel who are always ready to help. Many users appreciate the prompt implementation of customer requests and suggestions, as well as guidance on best practices.

Lackluster View: Some users have expressed their disappointment with the primary view in Valohai. They feel that it is underwhelming and lacks sophistication, suggesting that a more advanced user interface with more color and analytics of past experiments could provide a better first impression.

Pipeline Creation Difficulty: Reviewers have reported difficulty combining multiple steps and executions into a pipeline with dependencies on Valohai. Some users currently rely on Airflow and wish for better documentation to make this process easier.

Confusing Error Messages: Multiple reviewers have mentioned confusing error messages while using Valohai, along with minor interface gaps. These issues can lead to inconvenience for users trying to navigate the software effectively.

Valohai is a powerful MLOps platform designed to streamline the machine learning pipeline for data scientists and ML teams. The platform was designed for those who want to run multiple iterations of ML models on multiple GPUs in parallel, thus enabling them to build faster and deliver stronger products while managing resources effectively.

Valohai offers automatic version control for models, ensuring that all changes are tracked and documented so that users can reproduce results at any time. It also automates deep learning infrastructure, machine orchestration, and data pipelines management. With this tool, data scientists can focus exclusively on building better models without worrying about the complexities of ML lifecycle management.

Thanks to its scalability features, Valohai allows users to run thousands of experiments with just a few clicks. This creates trustworthy data while allowing users to stick with their favorite tools as they design lasting products. Overall, Valohai empowers businesses by offering efficient automation solutions throughout the entire machine learning process from idea conception through testing and iteration management until delivery of production-ready systems.

RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer.  RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.

Professional

AI Hub

RapidMiner

Vertex AI on Google Cloud is an MLOps solution, used to build, deploy, and scale machine learning (ML) models with fully managed ML tools for any use case.

Imagen model for image generation

Text, chat, and code generation

Image data training, deployment, and prediction

Video data training and prediction

Text data upload, training, deployment, prediction

Vertex AI

Valohai

MLOps

Valohai Tensorflow demo on MNIST leveraging SwifStack Data Management layer

Valohai Demo Dec/22

Valohai hands-on introduction

A tutorial on how to run MNIST with TensorFlow on the Valohai platform. 
- Version control for every experiment.
- MLOps automation 
- Zero-setup infrastructure for your cloud provider

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Home

MLOps Tools

Valohai

Overview

What is Valohai?