From the necessary infrastructure, tuned for modeling and training AI, all the way to production across the most efficient data centers and global cloud environments, getting the AI environment – of cloud, compute and data – right is critical. That was the message in this robust session at the annual Hitachi Digital Summit in Silicon Valley. Irfan Ali joined Raji Rajagopalan on stage for a discussion with Frank Antonysamy to discuss these topics and more. Take a look at this deep dive here: https://go.hitachi/4guJzXKNVIDIAMicrosoftHitachi Digital
You're gonna need one computer and I, I, I use the word computer, but one computing environment that is gonna be where you train the model, you build the model. The next, the next environment is that it's a simulation environment where you actually simulate the operation of that model. We're all Hitachi, Microsoft and NVIDIA are all leading the AI revolution for the industry, for humanity, and I'm very proud to be part of that. I think what can make this successful for the world is. That combination of data that we are getting from sensors with that we're getting from the world married with an efficient AI infrastructure and efficient data center that is large scale with silica that is powerful. The investments that we're making to make sure that our architecture, our pathway is secure, robust because more than anything else, right, our solutions have to be reliable.
Machine Learning Research Intern @Hitachi R&D | Applied Master's student of Data Analytics at @ DSTI-School of Engineering, Sophia-Antipolis | Former Data Science apprentice@ Prognoz.ai | Public Health Expert |
VP of Product in AI Platform at Microsoft, Developer, Author, UN/global Speaker
2moIt was an honor to be part of the panel. Thank you for inviting me to take part in this important conversation, and for organizing an excellent event!