Blog

The Valohai Ecosystem is a library of templates that enable users to kick off their projects with ease and reduce the amount of boilerplate code that needs to be written.

The pioneers' journey will be full of sidestepping, u-turns, and zigzags. No organization can exactly know where they'll end up, but we will help you to get there. Valohai developer core will keep all paths open, just in case you need to change course.

With Valohai, rapid experimentation, massive grid searches, complex multi-cloud pipelines, distributed learning clusters, and model deployment are all a single click (UI), a single command (CLI), or a single request (API) away and handled by the battle-hardened orchestration system.

Valohai integrates into your code repository, container repository, data storage, and compute resources - in the cloud and on-premise - orchestrating and recording their complex interplay. This way, the bookkeeping is fully ingrained into the machine learning workflow and something the pioneers don’t even need to think about conscientiously.

As of September 29, 2022, Valohai is officially SOC 2 Type II compliant. SOC 2 compliance "demonstrates your organization's ability to effectively safeguard the privacy and security of customer data".

We are renewing our commitment to helping ML Pioneers. Our focus has always been on supporting people working on the next wave of ML and we’ve been working hard to turn that focus into words and visuals. We want Valohai to be as bold as the ML Pioneers who rely on us.

Web scraping and data gathering are vast topics. There is no single correct way to programmatically collect data from sources designed for human consumption. The right approach for web scraping depends on the context, and in this article, we focus on an early-stage ML project needing time series data.

Michael Vakulenko of JFrog and Juha Kiili of Valohai showcase the real-life example of creating a machine learning system that continuously improves itself through IoT.

What if I told you there is a simple, free, lightweight tool for weaponizing any CLI-based ML project. All the commands are nicely wrapped and accessible via shortcut aliases and only a TAB keypress away. This tool is easily installable and super robust for all operating systems! It is called Make.

We look at industries with the highest need for artificial intelligence solutions in 2022, why they need it, and gives example use-cases.

Here are some tips and tricks for Jupyter notebook with step-by-step guides: from running shell commands to changing the notebook theme - easily!

There is absolutely nothing wrong with notebooks, and they are fantastic for many use-cases, but they are not the only option for writing programs. Too many get stuck in the vanilla notebook and do not realize what they are missing out on.

Valohai has been mentioned as a Representative Vendor by Gartner® in the “Market Guide for DSML Engineering Platforms”

We want to talk about what distributed learning is in brief and focus more on why having this feature is a valuable tool for your business.

What started as a fun side project for our developer Magda turned out to be a proud addition to the platform. Valohai can now estimate the carbon emissions of cloud instances. Yay!