TRACK A: Hardware & Systems: New Challenges in Datacenter Reliability - From HW Latent Defects to System Performance Degradation | Kisaco Research
Session Topics: 
Chip Design
ML at Scale
Novel AI Hardware
Systems Design
Sponsor(s): 
proteanTecs
Speaker(s): 

Author:

Uzi Baruch

CSO
Proteantecs

Uzi brings nearly twenty years of experience in managing R&D teams and high scale projects at leading, global hi-tech companies. Prior to joining proteanTecs, he held executive roles at Optimal+, first as VP of R&D, where he had been instrumental in driving the company’s big data offering, enabling customers to innovate manufacturing through a data-centric approach. Beginning of 2019, Uzi assumed the lead of Optimal’s new growth business, and led the sales and delivery groups of Optimal+ Automotive and Electronics business unit until the acquisition of the company by National Instruments. Before joining Optimal+, Uzi served as VP of R&D in the Enterprise Group at NICE.

Uzi Baruch

CSO
Proteantecs

Uzi brings nearly twenty years of experience in managing R&D teams and high scale projects at leading, global hi-tech companies. Prior to joining proteanTecs, he held executive roles at Optimal+, first as VP of R&D, where he had been instrumental in driving the company’s big data offering, enabling customers to innovate manufacturing through a data-centric approach. Beginning of 2019, Uzi assumed the lead of Optimal’s new growth business, and led the sales and delivery groups of Optimal+ Automotive and Electronics business unit until the acquisition of the company by National Instruments. Before joining Optimal+, Uzi served as VP of R&D in the Enterprise Group at NICE.

Author:

Judy Priest

Distinguished Engineer & VP, GM
Microsoft

Judy Priest is a Distinguished Engineer in Microsoft's Cloud and AI Group. She drives innovation, integration, and operations in next generation Data Center platforms supporting Azure, AI, and MS's Enterprise software. Judy has over 25 years of experience in developing data centers systems and silicon, high speed signaling technologies and optics, circuit design, and physical architectures for compute, storage, graphics, and networking.

Judy has previously worked at Cisco Systems, Silicon Graphics, Hewlett-Packard, and Digital Equipment Corporation, as well as two startup ventures. She serves on the Board of Directors for Women's Audio Mission, a local SF nonprofit moving the needle for girls, women, and GNC individuals in STEM through music. Judy was awarded Business Insider's 2018 Most Powerful Female Engineers and InterCon Networking's 2020 Top 100 Leaders in Engineering.

 

Judy Priest

Distinguished Engineer & VP, GM
Microsoft

Judy Priest is a Distinguished Engineer in Microsoft's Cloud and AI Group. She drives innovation, integration, and operations in next generation Data Center platforms supporting Azure, AI, and MS's Enterprise software. Judy has over 25 years of experience in developing data centers systems and silicon, high speed signaling technologies and optics, circuit design, and physical architectures for compute, storage, graphics, and networking.

Judy has previously worked at Cisco Systems, Silicon Graphics, Hewlett-Packard, and Digital Equipment Corporation, as well as two startup ventures. She serves on the Board of Directors for Women's Audio Mission, a local SF nonprofit moving the needle for girls, women, and GNC individuals in STEM through music. Judy was awarded Business Insider's 2018 Most Powerful Female Engineers and InterCon Networking's 2020 Top 100 Leaders in Engineering.

 

Author:

Shivam Bharuka

Software Production Engineer
Meta

Shivam is an engineering leader with Meta as part of the AI Infrastructure team for the last three years. During this time, he has helped scale the machine learning training infrastructure at Meta to support large scale ranking and recommendation models, serving more than a billion users. He is responsible for driving performance, reliability, and efficiency-oriented designs across the components of the ML training stack at Meta. Shivam holds a B.S. and an M.S. in Computer Engineering from the University of Illinois at Urbana-Champaign.

Shivam Bharuka

Software Production Engineer
Meta

Shivam is an engineering leader with Meta as part of the AI Infrastructure team for the last three years. During this time, he has helped scale the machine learning training infrastructure at Meta to support large scale ranking and recommendation models, serving more than a billion users. He is responsible for driving performance, reliability, and efficiency-oriented designs across the components of the ML training stack at Meta. Shivam holds a B.S. and an M.S. in Computer Engineering from the University of Illinois at Urbana-Champaign.