Apr 2018 - Market Perspective - Doc # US43744418
GPUs and GTC 2018: NVIDIA's Love Letter to Graphics, AI, and Deep Learning
By: Chwee Kan Chua, Ritu JyotiProgram Vice President, Systems Infrastructure Research Portfolio, Shannon KalvarResearch Manager , IT Service Management and Client Virtualization, Shinya KatoMarket Analyst, Enterprise Infrastructure, IDC Japan, Yanxia LuSenior Research Manager, Carrie MacGillivrayGroup Vice President, Internet of Things & Mobility, Ashish NadkarniGroup Vice President, Infrastructure Systems, Platforms and Technologies, Shane RauResearch Vice President, Computing Semiconductors, Peter RuttenResearch Manager, Server Solutions, John SantagateResearch Director, Service Robots, David SchubmehlResearch Director, Cognitive/Artificial Intelligence Systems, Richard L. VillarsResearch Vice President, Datacenter & Cloud
This IDC Market Perspective examines and provides an overview of the NVIDIA 2018 GPU Technology Conference held in San Jose, California. The event highlighted a range of new GPU acceleration products and services by NVIDIA and its partners to help companies develop the next generation of graphics and AI-enabled products.
According to Dave Schubmehl, research director for IDC's Cognitive/AI Systems and Content Analytics research, "The world of deep learning and AI-enabled products is exploding. NVIDIA's 2018 GPU Technology Conference highlighted the ways that NVIDIA and its partners are offering capabilities that are fueling this expansion of computing based on graphics, deep learning, and AI."
Asia/Pacific Big Data and Cognitive/Artificial Intelligence Systems and Content Analytics , China Big Data and Cognitive/Artificial Intelligence Systems , Cognitive/Artificial Intelligence Systems , Datacenter Trends and Strategies , Enabling Technologies: Processors and Architectures , Enabling Technologies: Wireless and Mobile Connectivity , IDC Manufacturing Insights: Robotics: Industrial Robots , IT Service Management and Client Virtualization Software , Infrastructure: Cognitive/Artificial Intelligence, Big Data and Analytics Workloads , Internet of Things Ecosystem and Trends , Robotics: Service Robots , Servers and Computing Platforms