Sambanovasystems.com Website Review

We are a computing startup focused on building the industry’s most advanced systems platform to run AI applications from the datacenter We are excited to have as*embled a talented team of technical leaders, investors, and advisors to drive the development of our innovative Rodrigo is CEO of SambaNova Systems. Prior to joining SambaNova, Rodrigo was responsible for SPARC Processor and ASIC Development at Oracle. He led the engineering organization responsible for the design of state-of-the-art processors and ASICs for Oracle’s enterprise Rodrigo is CEO of SambaNova Systems. Prior to joining SambaNova, Rodrigo was responsible for SPARC Processor and ASIC Development at Oracle. He led the engineering organization responsible for the design of state-of-the-art processors and ASICs for Oracle’s enterprise Kunle is Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. He founded Afara Websystems, acquired by Sun in 2002. He is a Pioneer of Chip Multiprocessor Designs, Director of the Stanford Pervasive Parallelism Lab, and Co-leader of the Data An*lytics for What’s Next (DAWN) research program. Kunle is Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. He founded Afara Websystems, acquired by Sun in 2002. He is a Pioneer of Chip Multiprocessor Designs, Director of the Stanford Pervasive Parallelism Lab, and Co-leader of the Data An*lytics for What’s Next (DAWN) research program. Christopher (Chris) Ré is an as*ociate professor in the Department of Computer Science at Stanford University in the InfoLab who is affiliated with the Statistical Machine Learning Group, Pervasive Parallelism Lab, and Stanford AI Lab.  He co-founded a company based Christopher (Chris) Ré is an as*ociate professor in the Department of Computer Science at Stanford University in the InfoLab who is affiliated with the Statistical Machine Learning Group, Pervasive Parallelism Lab, and Stanford AI Lab.  He co-founded a company based