Digital transformation is seizing various industries, and the pressure is on to leverage data in new ways for competitive advantage. CIOs need to connect two different worlds – satisfying their existing customer base while moving fast to deliver instant, data-driven services to customers - or risk losing ground.
The technology landscape in India is rapidly evolving – new trends are driving digital disruption, there is an increased usage of mobile and cloud based services, and broadband connectivity has improved dramatically. These advances are happening primarily because of the current government’s push for digital initiatives and its subsequent investments in projects such as Digital India and Supercomputing Mission. These go to show that we are not far behind when it comes to widespread adoption of technology.
The talent available in India is highly-skilled and holds much promise, a key driver to propel India’s efforts to create radical, ground-breaking technologies in the near future. Looking at the factors that work in our favour, there’s absolutely no reason why technology innovation can’t be serviced locally.
With over two decades of experience in visual computing, NVIDIA is committed to a vision where our work shapes important industries, our products excite our end-consumers, and our technologies power billions of devices. This vision has helped us deliver excellence for our organization, as well as our customers.
In 2015-2016, our business in India grew significantly across the enterprise and gaming units. We witnessed heightened engagement with start-ups involved in deep learning. We also expanded our compute solutions in Higher Education and Research, including the introduction of GPU programming as a subject in academia – this was evidenced by the widespread adoption of a language developed by NVIDIA, Computer Unified Device Architecture (CUDA), in several institutes and universities across the country.
Our professional visualization business (Quadro) has also continued to expand with new product and architecture launch across segments such as manufacturing, media & entertainment, engineering, and design. In addition, a subset of customers with focused business needs in areas such as data security and workforce mobility also began deployment of GRID.
Globally, we reported a revenue of $1.43 billion (for the second quarter ended July 31, 2016), up 24 percent from $1.15 billion a year earlier, and up 9 percent from $1.30 billion in the previous quarter. Strong demand for new Pascal-generation GPUs and rising interest in deep learning has propelled our business.
Our strategy to focus on creating a future with the power of graphics, computer vision and artificial intelligence drove significant growth in Gaming, Pro Visualization, and Datacenter and Automotive segment. In the last few years, we have invested heavily to evolve our GPU computing stack for deep learning. Now, we are very excited about its potential, which will impact every industry and market.
