We’ve built significant enhancements into our platform to further empower data science teams in accelerating time-to-market and optimizing operational costs. These enhancements tackle model iteration speed, efficient resource utilization, and dataset management.

Valohai’s Model Registry is a centralized hub for managing model lifecycle from development to production. Think of it as a single source of truth for model versions and lineage.

We designed our new Kubernetes support so that Data Science teams can effortlessly manage and scale their workflows on top of Kubernetes and enhance their overall machine-learning operations.

We're excited to announce that Valohai now supports Slurm, an open-source workload manager used in HPC environments. Valohai users can now scale their ML workflows with Slurm-based clusters with unprecedented ease and efficiency.