How to get started with MLOps?
State of MLOps 2021
Where is production ML in 2021?
All about production machine learning.
Here's how the Valohai MLOps platform works.
Point to your code & data and hit run. Valohai launches workers, runs your experiments and shuts down the instances for you.
Develop through notebooks, scripts or shared git projects in any language or framework. Expand endlessly through our open API.
Automatically track each experiment and trace back from inference to the original training data. Everything fully auditable and shareable.
See how teams implement MLOps with Valohai.
Latest blog posts
Product Update: Debugging and MetadataJuha Kiili / October 11, 2021
For the October product update, we chose to highlight a new feature, Remote Access Debugger, and some major improvements that we've shipped to the Metadata View.
No-code AI and MLOps: No-code AI is only no-code for the end userOtso Rasimus / October 04, 2021
No-code is only no-code for the end user, and that is also true for no-code AI. These platforms rely on the ingenuity of developers to abstract away the technical parts. MLOps is vital to deliver the product reliably and without risk.
DLOps: MLOps for Deep LearningHenrik Skogström / September 03, 2021
DLOps, deep learning operations, is an evolution of MLOps, looking to answer the unique operational challenges that deep learning sets. A skeptic may look at it as unnecessarily muddying the waters with a new buzzword.
Product Update: Spark as a First-Class CitizenJuha Kiili / August 31, 2021
Support for Spark has been one of the most requested features as Spark has become almost ubiquitous for data scientists and engineers working with structured data. We’ve heard the calls and Valohai now supports Spark natively.