Visual Computing For Mobile Cloud

Two pivotal announcements this week indicate that mobile cloud architectures are moving into the realm of visual computing. Either as consumers, or a employees, today’s mobile users are no more likely to be content with simple text box interfaces to their corporate data than they are to play mobile games with clunky yellow ducks. With mainstream phones supporting displays  of 1440 x 2560 pixels or greater, we want retina quality visual computing no matter what task we are doing. As I spend much of my time away from NVIDIA offices but still on corporate tasks, I’m super-excited by the newly announced VMware, NVIDIA, and Google partnership to deliver high-performance virtual desktops and workstation-class graphics to Google Chromebooks. The video below makes it pretty clear why.

The second is Amazon’s announcement earlier this week of their plans to purchase Twitch for nearly $1B. Now while a lot of corporate folks may never have heard of Twitch, not so at NVIDIA. Twitch, which has quickly become the fifth largest source of Internet traffic, lets its nearly 45 million unique viewers per month stream their gaming sessions for a few friends or a few million friends to watch. And you don’t need a GeForce powered PC or laptop to stream to Twitch, the new Shield Tablet from NVIDIA lets you stream directly from a tablet.

With both of these announcements, it is becoming increasingly clear that mobile cloud architectures must support not just the consumption of visually rich content but also the creation. While perhaps several hundred million PCs can connect to one or more clouds, billions of mobile devices will soon be connected and capable of visual computing. And when you get that new mobile phone, Chromebook, or Shield Tablet that has a display resolution several times greater than your old workplace VGA monitor, and runs all your high performance desktop apps, the power of visual computing for mobile cloud will become clear.

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About Marc Hamilton

Marc Hamilton – Vice President, Solutions Architecture and Engineering, NVIDIA. At NVIDIA, the Visual Computing Company, Marc leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA’s customers and partners to deliver the world’s best end to end solutions for professional visualization and design, high performance computing, and big data analytics. Prior to NVIDIA, Marc worked in the Hyperscale Business Unit within HP’s Enterprise Group where he led the HPC team for the Americas region. Marc spent 16 years at Sun Microsystems in HPC and other sales and marketing executive management roles. Marc also worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems”. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
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