Implementation Guide (IG)
Minimize transition time to MLReef with professional services
The implementation guide (IG) is aimed at organizations targeting a self-hosted instance of MLReef on their infrastructure.
Whether your team chose MLReef to accelerate your Machine Learning (ML) transformation, improve collaboration between all the roles in your organization, or facilitate an innersourcing initiative - Now the challenge is to get to that desired end state as fast as possible. Though thousands have deployed our open source tooling throughout the world, we also have a team of professionals here to provide you resources to ensure your MLReef instance will scale with your team.
Optimize your organization's adoption of MLReef. The MLReef Professional Service team has years of experience deploying, scaling and securing MLReef installations for customers. We leverage our repository of infrastructure-as-code to deploy a reference architecture based on your availability, scalability, and disaster-recovery needs. We help deploy to the target of your choice - cloud providers like AWS, GCP, and Azure, or on-premesis data centers. For scaling systems for hundreds to thousands, or even tens of thousands of users - get direct, hands-on assistance from our experts.
Who is this service for?
Customers who have higher aspirational requirements related to availability, scalability, and disaster recovery than the rapid results offering can provide. From large Fortune 100 companies to small start-ups, everyone can benefit from starting their Concurrent DevOps journey on the right foot.
What is included?
- Installation of MLReef
- Backup design and implementation
- Upgrade / maintenance planning and execution
- High Availability / Disaster Recovery architecture design and setup services
Contact email@example.com for general inquires about our professional services.