I was one of the lucky ones to attend the GPU Technology Conference last week, in Amsterdam. This was NVidia’s first GTC in Europe, and boy was it a success. The event wasn’t even announced until after the US event, and the organisers “conservatively” anticipated 1,000 attendees; 1,700 showed up.
The focus of the conference was NVIDIA's contribution to the next Industrial Revolution - coined Industry 4.0 - and specifically, on Deep Learning and the AI revolution. The keynote of Jen-Hsun Huang, the CEO and Co-Founder of NVIDIA was extremely compelling; he had us hanging on to his every word for two hours.
At the event, NVIDIA showcased how the company has transformed from being a simple manufacturer of graphics processing units (GPUs) in desktops and workstations, to a major player in the area of deep learning and artificial intelligence. This is why NVIDIA now calls itself; "the AI Computing Company."
The transformation for NVIDIA began in 2012, when across the world, deep learning researchers started to discover GPUs. These researchers believed that GPU deep learning was the new computing model, and that NVIDIA was well-placed to become the GPU technology of choice.
In the meantime, more than 1,500 new deep learning companies had sprung up around the world, proving that deep learning was more than just hype; it would have a profound impact on our daily lives.
At the conference, NVIDIA announced strategic partnerships with IBM (Cognitive computing) and SAP (for deep learning enterprise solutions). Continuing on this path of growth, NVIDIA has built up several ecosystems:
• Consumer Services (e.g. Facebook, eBay, Flickr)
• AI as a Service (e.g. IBM cloud, MS Azure, AWS)
• AI for Enterprise (e.g. Cisco, Dell, HPE, IBM, Lenovo)
• GPU Server Builders
In his keynote presentation, Mr. Huang stated that AI would revolutionize transportation, healthcare, and society. And, NVIDIA is focusing heavily on the automotive / transportation market, which is seen as a $10 trillion industry. Recently, NVIDIA announced Driveworks ALPHA 1 as an OS for self-driving car, and the company cooperates closely with a number of manufacturers that are developing the self-driving car; nuTonomy, Volvo, TomTom, WEpods.
As deep learning shares so much common ground with HPC and visual computing, it was no surprise to see the major HPC players exhibiting at the event. NVIDIA had attracted more than 50 exhibiting sponsors, ranging from the big IT players to the nascent start-ups.
Overall, the appeal and popularity of this event highlights that Bright's strategy to support deep learning makes absolute sense. After recently announcing Bright for Deep Learning, we now play an important role in the enablement of deep learning; helping companies to achieve their deep learning objectives, to maintain competitiveness and make progress.
At Bright, we make it easy for organizations to use deep learning techniques in their businesses. Our customers can quickly and easily deploy new deep learning techniques to create predictive applications in various domains. It’s an exciting market and an exciting time to be involved!