Introducing MLServer 1.0: Modern and flexible model serving for machine learning at scale
Introducing ML Server In our mission to democratise access to machine learning (ML) we are pleased to announce the full release of […]
Adaptive Batching & Kubernetes Infrastructure Robustness – Seldon Core 1.11.0 Released!
The Kubernetes MLOps ecosystem continues to evolve at breakneck speed, however it is critical to ensure the foundational features and functionality of […]
Performance Optimizations and MLFlow Integrations – Seldon Core 1.10.0 Released!
Performance of machine learning models is key when teams and organisations are looking to deploy models at scale. Achieving optimal performance for […]
Working at the forefront of AI and powering open source
Calling all software engineers – we’re hiring! Over the last month, we’ve been working hard to shape the future of Seldon by […]
New Machine Learning Monitoring & Interactive Drill-Down Features – Seldon Deploy 1.3 Released!
The lifecycle of a machine learning only begins once it’s deployed to production. This is why this release of our enterprise product […]
ML Progressive Rollouts with Seldon and Iter8
Once you have a machine learning model in production that is providing benefit one of the next challenges you will meet is […]
SLO-Driven Progressive Rollouts for Machine Learning – Seldon Core 1.9 Released!
Organisations have a growing need to adopt architectural patterns that allow them to deploy, promote and monitor their models at scale. This […]
Bridging the Data Science Gap in MLOps – Seldon Core 1.8 Released!
As organisations adopt MLOps into their business-as-usual operations, further standardisation is introduced to ensure governance and compliance. As the MLOps strategy matures […]
Taking MLOps to the next level with metadata management and other great features – Seldon Deploy 1.2 Released!
As organisations utilise machine learning for a growing number of tasks, the ability to ensure proper governance, auditing and discoverability of those […]