NVIDIA’s message was unmistakable as it kicked off the 10th annual GPU Technology Conference: it’s doubling-down on the datacenter. Founder and CEO Jensen Huang delivered a sweeping opening keynote at San Jose State University, describing the ...

GPU Technology Conference—NVIDIA today announced a collaboration with Amazon Web Services IoT on NVIDIA® Jetson™ to enable customers to deploy AI and deep learning to millions of connected devices.

Most data centers weren’t designed with the explosive growth and unique demands of AI in mind. But NVIDIA DGX POD offers a blueprint for every data center architect who wants to optimize their compute, storage and network infrastructure to meet the ...

NVIDIA is partnering with Amazon Web Services to provide leading-edge infrastructure to startups so they can innovate and grow. Our new collaboration gives some of the industry’s hottest, most innovative AI startups access to advanced technology, ...

GPU Technology Conference--Toyota Research Institute-Advanced Development (TRI-AD) and NVIDIA today announced a new collaboration to develop, train and...

NVIDIA DRIVE Constellation is bringing autonomous vehicle test fleets to the cloud. At the GPU Technology Conference, NVIDIA founder and CEO Jensen Huang announced that the NVIDIA DRIVE Constellation simulation platform is now available. Toyota’s ...

SAN JOSE, Calif., March 18, 2019 GPU Technology Conference -- NVIDIA today announced the NVIDIA DRIVE Constellation™ autonomous vehicle simulation platform is now available. The cloud-based...

GPU Technology Conference—NVIDIA today bolstered its NVIDIA DRIVE™ AV autonomous vehicle software suite with a planning and control layer designed to enable a...

Today at the GPU Technology Conference, NVIDIA founder and CEO Jensen Huang announced NVIDIA DRIVE AP2X — a complete Level 2+ automated driving solution encompassing DRIVE AutoPilot software, DRIVE AGX and DRIVE validation tools. DRIVE AP2X ...

It’s a huge challenge extracting actionable insights from the sea of data created by the world’s billions of cameras and sensors. Bringing all this raw data to the cloud is inefficient because of bandwidth, cost and latency limitations. So NVIDIA ...