This year’s GPU Technology Conference officially kicks off at 16:00 PT today with early badge pickup, followed by posters & welcome reception at 17:00. Of course that will just be warm up for Tuesday’s opening keynote including a special not to be missed appearance by Elon Musk joining Jen-Hsun Huang on stage for a conversation on self-driving cars and deep learning.
While the amazing keynotes are reason enough for any visual computing fan to attend, GTC is a GPU developer conference at its core. While you don’t have to be a GPU developer to attend, most of the 500+ sessions are technical in nature, covering a diverse range of topics from Astronomy to Web acceleration.
On Wednesday, the Emerging Companies Summit will award $100,000 to one lucky early stage startup. Of course, when you consider the previous companies who have participated, $100,000 seems like small change. Just ask Oculus Rift (acquired by Facebook for $2 billion), Gaikai (acquired by Sony for $380 million), Natural Motion (acquired by Zynga for $527 million), or Keyhole (the progenitor of Google Earth).
This year, the first OpenPOWER Summit is being hosted as part of GTC. This seems only fitting as OpenPOWER was the first processor architecture to adopt NVIDIA’s NVLink technology and also was at the core of the DOE’s $325 million CORAL award and related FastForward 2 projects.
The NVIDIA technology won’t be limited to inside the San Jose Convention Center. The GTC15 Ride and Drive program offers GTC attendees the chance to test-drive NVIDIA powered cars from Audi, BMW, Mini, Tesla Motors, and Volkswagen.
Finally, one of my favorite events is going to be the first ever NVIDIA Iron Chef challenge, Tuesday from 5-7 pm, where the solution architect teams from NVIDIA and VMware battle it out to see who can install a complete NVIDIA Grid vGPU with VMware Horizon and vSphere environment, starting from scratch, in under one hour. If all goes according to plan, in the second hour, the losing team will have to relinquish their servers and watch the winning team double the capacity of their GPU-accelerated desktop virtualization environment.