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Valohai description
Valohai is a software platform designed to simplify and automate the process of developing and deploying machine learning models, known as MLOps. It allows data science teams to manage and track experiments, easily reproduce models, and collaborate effectively. Valohai is cloud-agnostic, meaning it works with various cloud providers or a company's own infrastructure. Its key features focus on managing the entire lifecycle of a machine learning project, from experimentation and version control to deployment and monitoring, all within a single platform.
What companies are using Valohai?
Who is Valohai best for
We find that Valohai is ideal for data science teams aiming to streamline and automate their machine learning projects. Users consistently praise its ease of use, excellent support, and strong experiment tracking. Keep in mind that while users find the UI intuitive, some would prefer a darker mode. We've also noticed that users highlight the platform's flexibility, supporting various cloud providers and on-premise infrastructure, making it a robust choice for diverse environments.
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Perfect for medium to large companies (100+ employees) seeking centralized MLOps to streamline collaboration.
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Valohai's flexibility shines across industries, especially Software/IT, where managing ML pipelines is crucial.
Valohai features
Supported Framework agnostic: Framework agnostic ML, on-premises and single/multi/hybrid-cloud. |
Supported Automatic versioning: Automatic versioning with complete lineage of your ML experiments. |
Supported Hybrid and multi-cloud support: Hybrid and multi-cloud support for AWS, Azure, GCP, and on-premises infrastructure. |
Supported Built-in metadata tracking: Built-in metadata tracking, lineage, and experiment management capabilities. |
Supported Simplified pipeline building: Simplified pipeline building with YAML configuration and reusable components. |
Supported Centralized platform: Centralized platform for managing experiments, models, and deployments. |
Supported Comprehensive experiment tracking: Comprehensive experiment tracking with detailed logs and metrics. |
Supported Easy integration: Easy integration with popular ML frameworks and tools. |
Valohai reviews
We've summarised 25 Valohai reviews (Valohai G2 reviews) and summarised the main points below.
- Excellent and responsive customer support, consistently praised.
- Easy to use and intuitive UI/UX for managing ML pipelines.
- Flexible and supports various cloud providers and on-premise infrastructure.
- Strong version control and experiment tracking capabilities.
- Facilitates team collaboration and seamless integration with existing workflows.
- API key management is still immature, with only user-specific API keys and no access management.
- Occasional minor bugs encountered, though quickly resolved by support.
- Documentation could be more comprehensive, especially for the API.
- UI could be improved, some prefer a darker mode.
- Limited plotting functionalities within the platform.
Valohai pricing
The commentary is based on 2 reviews from Valohai G2 reviews.
We find that some users consider Valohai's pricing to be high, particularly the yearly subscription cost. However, others highlight its cost-saving potential through efficient resource use and optimized infrastructure. Overall, the value proposition seems to be balanced against the price for many users.
See the Valohai pricing page.
Valohai alternatives
Azure Machine LearningBuild, train, and deploy machine learning models, code-free or with code.Read more
Valohai FAQ
We find Valohai to be an excellent platform for managing the machine learning lifecycle. It simplifies experiment tracking, model deployment, and team collaboration, and it works across different cloud environments. It's a great tool for streamlining your MLOps processes.
What is Valohai and what does Valohai do?
We find Valohai to be an excellent platform for managing the machine learning lifecycle. It simplifies experiment tracking, model deployment, and team collaboration, and it works across different cloud environments. It's a great tool for streamlining your MLOps processes.
Valohai integrates easily with popular machine learning frameworks and tools. It supports hybrid and multi-cloud environments like AWS, Azure, GCP, and on-premises infrastructure. This flexibility allows diverse teams to collaborate effectively.
How does Valohai integrate with other tools?
Valohai integrates easily with popular machine learning frameworks and tools. It supports hybrid and multi-cloud environments like AWS, Azure, GCP, and on-premises infrastructure. This flexibility allows diverse teams to collaborate effectively.
We find that Valohai's main competitors include Azure Machine Learning, ClearML, Deeploy, and Simplismart. These platforms offer similar MLOps functionalities, focusing on streamlining machine learning workflows and deployment.
What the main competitors of Valohai?
We find that Valohai's main competitors include Azure Machine Learning, ClearML, Deeploy, and Simplismart. These platforms offer similar MLOps functionalities, focusing on streamlining machine learning workflows and deployment.
Yes, Valohai is a legitimate and well-regarded MLOps platform. We find that users praise its ease of use, robust features, and excellent customer support. It's a safe and reliable choice for managing your machine learning projects.
Is Valohai legit?
Yes, Valohai is a legitimate and well-regarded MLOps platform. We find that users praise its ease of use, robust features, and excellent customer support. It's a safe and reliable choice for managing your machine learning projects.
Valohai does not publicly disclose pricing information. Contact their sales team for a customized quote based on your specific needs.
How much does Valohai cost?
Valohai does not publicly disclose pricing information. Contact their sales team for a customized quote based on your specific needs.
We find that Valohai's customer service is excellent. Users consistently praise the support team's responsiveness, helpfulness, and expertise in resolving issues quickly. They are proactive and readily available to assist with any challenges.
Is Valohai customer service good?
We find that Valohai's customer service is excellent. Users consistently praise the support team's responsiveness, helpfulness, and expertise in resolving issues quickly. They are proactive and readily available to assist with any challenges.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.