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Introduction

Date: June 23, 2021
Time: 10:00am – 11:00am PST
Duration: 1 hour

AI is driving innovation across businesses of every size and a complete MLOps solution is essential to operationalize the ML pipeline at scale. ClearML and NVIDIA Triton Inference Server bring automation and governance to AI from development to deployment.

In this webinar you will learn:
  • Why Triton, designed for MLOps teams, is the top choice for Inference
  • How ClearML can be used to implement entire MLOPS stack
  • How ClearML & Triton integration optimizes model deployment across frameworks on GPUs and CPUs

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Moses Guttman

CTO & Co-founder, Allegro AI

Moses is a computer vision and deep learning guru and a serial entrepreneur. Moses has more than 20 years of experience making visionary technologies a reality. Prior to ClearML, he co-founded several startups in the computer vision and embedded processing spaces. Moses is an alum of the Israeli Defense Force’s most elite technology unit and has 40 patents and patent applications and five academic publications in his name. Moses holds an M.S. cum laude in computer science from Tel Aviv University in Israel.

Shankar Chandrasekaran

Product Marketing Manager, NVIDIA

Shankar is a senior product marketing manager in the data center GPU team at NVIDIA. He is responsible for GPU software infrastructure marketing to help IT and DevOps easily adopt and seamlessly integrate GPUs in their infrastructure. Before NVIDIA, he held engineering, operations, and marketing positions in both small and large technology companies. He holds business and engineering degrees.

Mahan Salehi

Deep Learning Software Product Manager, NVIDIA

Mahan is a deep learning software product manager at NVIDIA, focused on Triton Inference Server. Before NVIDIA, he was the co-founder and CEO of an AI startup and also previously worked in the medical device industry. He holds an engineering degree from the University of Toronto.

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Date & Time: Wednesday, April 22, 2018