---
title: ScaledML Media Archive - 2020
description: Interested in Machine Learning?  See what happened at the annual ScaledML Conference in 2020. Topics on hardware, AI, scaling machine learning, and more.
---

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- [2020](https://info.matroid.com/scaledml-media-archive-2020)
- [2019](https://info.matroid.com/scaledml-media-archive-2019)
- [2018](https://info.matroid.com/scaledml-media-archive-2018)
- [2017](https://info.matroid.com/scaledml-media-archive-2017)
- [2016](https://info.matroid.com/scaledml-media-archive-2016)
- [ScaledML](http://scaledml.org)
- Gallery

# SCaledml media archive - 2020

February 26 - 27, 2020

Learn from the best minds in the machine learning community.

[![View Gallery](https://no-cache.hubspot.com/cta/default/6212008/4fc8dc4d-c87f-41ba-b538-aa88ac845d36.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/4fc8dc4d-c87f-41ba-b538-aa88ac845d36)

### REZA ZADEH

Matroid & Stanford

Introduction to ScaledML 2020

 

### OREN ETZIONI

Allen Institute for Artificial Intelligence

AI and the Future of Humanity

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/7ae91d11-3722-44f9-b3a3-580170ecb4ad.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/7ae91d11-3722-44f9-b3a3-580170ecb4ad)

### REZA ZADEH

Matroid & Stanford

Turning Machine Learning Research into Products for Industry

### MEGAN KACHOLIA

Google

ML at Google Scale

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/5e2e4fe4-81c8-46ef-88a9-97cda73cce7b.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/5e2e4fe4-81c8-46ef-88a9-97cda73cce7b)

### ANDREJ KARPATHY

Tesla

AI for Full Self-Driving

 

### ILYA SUTSKEVER

OpenAI

The Power of Large-scale Generative Models and RL

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/4f2d15d7-36a7-4f01-bef2-e3a00dee062f.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/4f2d15d7-36a7-4f01-bef2-e3a00dee062f)

### WES MCKINNEY

Ursa Labs

Apache Arrow: Present and Future

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/68a60df7-a18b-4f76-af3c-a5af511815d5.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/68a60df7-a18b-4f76-af3c-a5af511815d5)

### SAVIN GOYAL

Netflix

Human-centric Approach to ML Infrastructure

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/6114b882-1360-414a-9c16-9fb59bef2ec6.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/6114b882-1360-414a-9c16-9fb59bef2ec6)

### PANEL DISCUSSION

AI Products & MLOps

Pete Skomoroch, Jennifer Prendki, Alyona Medelyan, Robert Munro, Peter Bailis

### JOE ISAACSON

Asimov

Optimizing the Design of Genetic Programs for Living Cells

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/6bcd8437-433a-459f-b8a8-49971b02bdb0.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/6bcd8437-433a-459f-b8a8-49971b02bdb0)

### MOHAMED FAWZY

Facebook

Training Models at Facebook Scale with PyTorch

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/ff3cc80f-2972-45c2-b6ff-b5fccf156573.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/ff3cc80f-2972-45c2-b6ff-b5fccf156573)

### DENNIS ABTS

Groq

Ditching the 'C' in CPU: Groq's Tensor Streaming Processor (TM)

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/53456270-37c4-4c1a-bdb8-1a29f13a2d69.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/53456270-37c4-4c1a-bdb8-1a29f13a2d69)

### ION STOICA

UC Berkeley

ML for Systems

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/6beaf930-dfa2-4c73-a609-049cd8c88691.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/6beaf930-dfa2-4c73-a609-049cd8c88691)

### DAVID ARONCHICK

Microsoft

Using MLOps to Bring ML to Production

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/5f0d564f-8fcc-4e65-8344-6a1a95fb71d6.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/5f0d564f-8fcc-4e65-8344-6a1a95fb71d6)

### FRANÇOIS CHOLLET

Google

Keras: The Next Five Years

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/e34fd465-7c69-42be-83d2-90be13e507b5.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/e34fd465-7c69-42be-83d2-90be13e507b5)

### KUNLE OLUKOTUN

SambaNova Systems & Stanford

Accelerating Software 2.0

### JOSHUA BLOOM

UC Berkeley

Towards Physics-informed ML Inference In Astrophysics

### MATEI ZAHARIA

Databricks & Stanford

Scaling Machine Learning Development with MLflow

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/e8abbea3-1762-4db3-8f7d-8c971e18b566.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/e8abbea3-1762-4db3-8f7d-8c971e18b566)

### JIM KELLER

Intel

Moore's Law in the age of AI Chips

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/0e1ac61d-a34e-45f8-8868-958afb7d5c66.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/0e1ac61d-a34e-45f8-8868-958afb7d5c66)

### JOSH ROMERO

NVIDIA

Scaling DL on the Summit Supercomputer

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/adce1175-275f-475e-b6c2-fa0b70663464.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/adce1175-275f-475e-b6c2-fa0b70663464)

### PETER MATTSON

Google

MLPerf: Driving Innovation by Measuring Performance

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/dee4a787-16ad-48dc-aec4-cb2685f7a789.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/dee4a787-16ad-48dc-aec4-cb2685f7a789)

### SEAN LIE

Cerebras Systems

Wafer-Scale ML

[![Download Slides](https://no-cache.hubspot.com/cta/default/6212008/458a8cf8-cf29-4760-8f11-40c80869c1e6.png)](https://cta-redirect.hubspot.com/cta/redirect/6212008/458a8cf8-cf29-4760-8f11-40c80869c1e6)

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