00:00 - Intro
01:29 - Remotely Executing Task
06:49 - Model Repository
09:10 - Workers and Queues
17:27 - Workers on K8s
19:14 - Pipelines
31:20 - Triggerscheduler
39:05 - Github CI/CD Templates
39:36 - Outro
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End-to-end enterprise-grade platform for data scientists, data engineers, DevOps and managers to manage the entire machine learning & deep learning product life-cycle.
ClearML helps companies develop, deploy and manage machine & deep learning solutions. With ClearML, organizations bring to market and manage higher quality products, faster and more cost effectively. Our products are based on the Allegro Trains open source ML & DL experiment manager and ML-Ops package.
Why ClearML?
- Scale Smarter: Abstract away all the building blocks of the ML/DL lifecycle: data management, experiment orchestration, resource management, and feedback loop.
- Bridge Science & Engineering: Empower your team to leverage models created by data scientists with unprecedented ease and accessibility. Seamless handoff.
- Effortless ML-Ops: Let us manage & scale the platform to meet your needs, cloud or on-prem. Let us also optionally build a customized, automated data pipeline for you, complete with integration to your current systems.
- Cut Costs: Empower your researchers and teams to be profoundly more productive. Complete tasks in a fraction of the time and focus on the data that brings the highest ROI.
ClearML’s customers hail from over 55 countries and span almost all industries, such as automotive, media, healthcare, medical devices, robotics, security, silicon & manufacturing.