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Deploy Models Into Shared GPUs

Posted Oct 18
# Cookpad
# Shared GPUs
# Model Deployment
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SPEAKERS
Jose Navarro
Jose Navarro
Jose Navarro
Machine Learning Infrastructure Engineer @ Cookpad

Jose Navarro is a Machine Learning Infrastructure Engineer making everyday cooking fun at Cookpad, where its recipe platform has more than 40 million monthly users. He holds a MSc in Machine Learning and High Performance Computing from the University of Bristol. He is interested in Cloud Native technologies, serverless, and event-driven architecture.

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Jose Navarro is a Machine Learning Infrastructure Engineer making everyday cooking fun at Cookpad, where its recipe platform has more than 40 million monthly users. He holds a MSc in Machine Learning and High Performance Computing from the University of Bristol. He is interested in Cloud Native technologies, serverless, and event-driven architecture.

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Prayana Galih
Prayana Galih
Prayana Galih
Machine Learning Infrastructure Engineer @ Cookpad

A machine learning platform engineer at Cookpad.

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A machine learning platform engineer at Cookpad.

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SUMMARY

With 2 open-source ingredients and a tsp of Python Sidecar, you can automate the deployment of your models into accelerated infra and also, control the end-to-end lifecycle of your ML models from a single tool.

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