Deep learning speeds

Deep Learning – The Future

By Mike Gianfagna on April 26, 2018 from

Following up from my last post on our deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation,” I’d like to take a glimpse into the future. Like many such discussions, it’s often useful to take a look back first to try and make sense out of what is to ... continue reading

AI chip vs networking chip

Deep Learning Market Forces

By Mike Gianfagna on March 22, 2018 from

Last week, eSilicon participated in a deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, we explored how our respective companies form an ecosystem to develop deep learning chips for the next ... continue reading

The future of ASICS in AI/deep learning, networking, high-performance computing and 5G

What’s Next?

By Mike Gianfagna on December 21, 2017 from

We just concluded two very successful seminars in Tokyo and Shanghai. Samsung Memory presented their HBM2 solutions, Samsung Foundry talked about their advanced 14nm FinFET solutions, ASE Group reviewed their advanced 2.5D packaging solutions, eSilicon presented our ASIC and 2.5D ... continue reading

ASIC ecosystem analogy

Advanced ASICs – It Takes an Ecosystem

By Mike Gianfagna on November 26, 2017 from

I remember the days of the IDM (integrated device manufacturer). For me, it was RCA, where I worked for 15 years as the company changed from RCA to GE and then ultimately to Harris Semiconductor. It’s a bit of a cliché, but life was simpler then, from a customer point of view at least. RCA did ... continue reading