MLOps - Winder.AI Blog

Industrial insight and articles from Winder.AI, focusing on the topic MLOps

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MLOps Presentation: Buildpacks - The Ultimate ML Container

MLOps Presentation: Buildpacks - The Ultimate ML Container

Wed Jun 8, 2022, by Phil Winder, Enrico Rotundo, in MLOps, Talk

Dr. Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Abstract In this talk, they present the use of cloud-native buildpacks for machine learning containers. Find out how they work and why they are the ultimate ML container solution. You’ll want to attend this if you’ve ever struggled to create shared or golden containers for machine learning. About This Series Welcome to Winder.

Save 80% of Your Machine Learning Training Bill on Kubernetes

Save 80% of Your Machine Learning Training Bill on Kubernetes

Mon Jun 6, 2022, by Phil Winder, in Cloud Native, MLOps, Case Study

Winder.AI worked with Grid.AI to stress test managed Kubernetes services with the aim of reducing training time and cost. A summary of this work includes: Stress testing the scaling performance of the big three managed Kubernetes services Reducing the cost of training a 1000-node model by 80% The finding that some cloud vendors are better (cheaper) than others The Problem: How to Minimize the Time and Cost of Training Machine Learning Models Artificial intelligence (AI) workloads are resource hogs.

MLOps Presentation: When do You Need an MLOps Platform Team?

MLOps Presentation: When do You Need an MLOps Platform Team?

Wed May 11, 2022, by Phil Winder, in MLOps, Talk

Dr. Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Abstract In this talk he presents industry observations of MLOps team size and structure for a range of business sizes and domains. Learn more about how others structure their MLOps teams. Discover which problems you need to solve first. About This Series Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.

MLOps Presentation: Databricks vs. Pachyderm

MLOps Presentation: Databricks vs. Pachyderm

Wed Apr 6, 2022, by Phil Winder, in MLOps, Talk

Dr. Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Abstract In this talk he presents a white paper that discusses the differences between two leaders in the data engineering space – Databricks and Pachyderm. Learn how these two products differ, when to use each, and the pros and cons. At the end of the talk Phil distils this information and presets best practices.

Machine Learning Presentation: Packaging Your Models

Machine Learning Presentation: Packaging Your Models

Wed Mar 16, 2022, by Phil Winder, in Machine Learning, MLOps, Talk

Dr. Phil Winder shares experiences of Winder.AI’s machine learning consulting experience at a variety of large and small organizations. Abstract In this talk he focuses on packaging ML models for production serving. Learn about how the cloud vendors compare, what orchestration abstractions prefer, and how packaging tools seek to find the right abstractions. At the end of the talk Phil distils this information and presets best practices. There’s also some discussion of future trends and some ideas for aspiring open-source engineers.

GitOps for Machine Learning Projects

GitOps for Machine Learning Projects

Fri Mar 11, 2022, by Phil Winder, in MLOps, Software Engineering

Not so long ago, developers used clunky consoles to provision infrastructure and applications. It wasn’t long before someone realized it was better to automate such a process via scripts and APIs. But it wasn’t until Hashicorp showed that APIs were not enough. Their insight was to declare a canonical representation of the infrastructure. You can then reconcile this declaration against the live view of the infrastructure. In 2015-16 we helped WeaveWorks develop their cloud monitoring platform.

MLOps In The Field: Machine Learning Serving Containers

Tue Sep 13, 2022, by Phil Winder, in MLOps

Placeholder Event This is a placeholder for a future event. The details may change and registration is closed. Subscribe to our newsletter to be notified of when we open registration to future events. Event When: Tue Sep 13, 2022 at 16:30 UTC Where: TBC Dr. Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. In this talk you’ll learn about the features exposed by modern ML serving containers including Triton, MLServer, and many more…

Databricks vs Pachyderm - A Data Engineering Comparison

Databricks vs Pachyderm - A Data Engineering Comparison

Mon Feb 7, 2022, by Enrico Rotundo, Hajar Khizou, Phil Winder, in MLOps, White Paper

Winder.AI has conducted a study comparing the differences between Pachyderm and Databricks. Both vendors are prominent in the data and machine learning (ML) industries. But they offer different products targeting different use cases. Modern, production-ready requirements present major challenges where data is evolving, unstructured, and big. This white paper investigates the strengths and weaknesses in their respective propositions and how they deal with these challenges.

MLOps Presentation: How to Build Resilient AI With GitOps

MLOps Presentation: How to Build Resilient AI With GitOps

Wed Jan 12, 2022, by Phil Winder, in MLOps, Talk

Dr. Phil Winder shares experiences of Winder.AI’s MLOps consulting experience at a variety of large and small organizations. Abstract In this talk he focuses on how GitOps is a key ingredient in any ML platform to enhance resiliency and observability. Learn why it is important, what it involves, and how to implement it in this short 30 minute video. About This Series Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.