NVIDIA founder and CEO Jensen Huang made a series of announcements before an audience of over 8,000 attendees at the company’s ninth annual GPU Technology Conference (GTC), taking place in San Jose, California.
NVIDIA boosts the world’s leading deep learning computing platform, bringing 10x performance gain in six months. NVIDIA unveiled a series of advances to boost performance on deep learning workloads by 10x compared with the generation introduced just six months ago. Advancements include a 2x memory boost to NVIDIA Tesla V100 and a revolutionary new GPU interconnect fabric called NVIDIA NVSwitch, which enables up to 16 Tesla V100 GPUs to simultaneously communicate at a record speed of 2.4 TB per second. The company also launched NVIDIA DGX-2, the first single server capable of delivering 2 petaflops of computational power. DGX-2 has the deep learning processing power of 300 servers occupying 15 racks of datacenter space, while being 60x smaller and 18x more power efficient.
NVIDIA expands its deep learning inference capabilities for hyperscale datacenters. The company announced a series of new technologies and partnerships that expand its potential inference market to 30 million hyperscale servers, while lowering the cost of delivering deep learning-powered services. It introduced a new version of its TensorRT inference optimizer, with support for new capabilities in datacenters, automotive applications, and embedded devices. NVIDIA’s close collaboration with partners such as Amazon, Facebook, Google and Microsoft make it easier for developers to take advantage of GPU acceleration using TensorFlow, ONNX and WinML.
NVIDIA reinvents the workstation with real-time ray tracing. The company announced the NVIDIA Quadro GV100 GPU with NVIDIA RTX technology, delivering for the first time real-time ray tracing to millions of artists and designers. NVIDIA RTX — when combined with the powerful Quadro GV100 GPU — makes computationally intensive ray tracing possible in real time when running professional design and content creation applications.
NVIDIA introduces DRIVE Constellation Simulation System to safely drive autonomous vehicles billions of miles in virtual reality. DRIVE Constellation is a cloud-based system for testing autonomous vehicles using photorealistic simulation – creating a safer, more scalable method for bringing self-driving cars to the roads.
NVIDIA and Arm partner to bring deep learning to billions of IoT devices. NVIDIA and Arm announced that they are partnering to bring deep learning inferencing to the billions of mobile, consumer electronics and Internet of Things devices that will enter the global marketplace.