Training your models on a massive scale is one thing. Running hundreds of iterations on multiple GPUs in parallel and managing the whole machine learning pipeline effectively is what sets you apart from the competition.
Applying feature extraction to terabytes of data doesn't have to be a hassle.
We manage and keep track of your data transformation code versions, so you can be sure that your serving uses the same feature extraction as your training. You can even define which training to apply to different types of extractions.
Valohai makes training and managing your models simple and fast.
Select the data source, model parameters and variants and let Valohai automate the infrastructure. Run your training and hyperparameter optimizations at scale with a click of a button and get the perfect result for deployment. While the models are being trained you can follow and manage the process in real-time with our visual UI.
Machine learning is a team sport. Valohai is the perfect coach for you.
When you work with machine learning where changing anything along the pipeline can change everything, effective collaboration is crucial. Share your whole history of data, training and deployments to keep your entire team in the loop. Transparency allows new team members to start working on your models from day one.
From training to deployment with a few clicks.
When you are done tuning your model, Valohai automates deployment and gives you an HTTP endpoint you can link to your production environment. The deployed model can also be installed to your own cloud instead of the Valohai platform. With a few clicks, the Valohai deployed model is ready for production use.
Runtime environments use GPU-enabled Docker images so running virtually any language or machine learning library is possible. We provide a set of readily available images but we do support any of your favorite tools if it runs on Linux.
Your machine learning team will be able to train their models at massive scale with the framework of your choice. Whether you are using cloud GPUs or on-premise servers, Valohai will turn the work of your machine learning team into business value faster.
The Valohai platform allows you automate the training and deployment infrastructure. Run multiple variations of machine learning ideas simultaneously on several GPUs or squeeze everything out from a specific model with our hyperparameter optimization tool. Shorten the time to find a perfect machine learning model and minimize idle time.
Machine learning on scale is not only about building algorithms and tinkering with data. It also involves your IT and ops teams setting up and scheduling the needed computational resources and managing the infrastructure. This is both time consuming and resource draining. The Valohai platform removes the IT department from the equation by automating scheduling and deployment processes from beginning to end.
Managing risks is one of the largest challenges with current machine learning workflows. How do you track changes, build reproducible algorithms and make sure changes in team composition do not mean starting work again from square one?
Reuse the best models and instantly jump back to a previous model version if the need arises.
Valohai offers a layer on top of your data for managing the infrastructure. Your experiments are safe in your storage.
Take care of security in situations where employees leave or access needs to be restricted.
Valohai platform automates your machine learning infrastructure. Book a free demo and we'll show you how to shorten the time-to-business cycle of your machine learning work.
