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NVIDIA Announces Q4 and Fiscal 2018 Results

NVIDIA (NASDAQ:NVDA) today reported record revenue for the fourth quarter ended January 28, 2018, of $2.91 billion, up 34 percent from $2.17 billion a year earlier, and up 10 percent from $2.64 billion in the previous quarter. GAAP earnings per diluted share for the quarter were a record $1.78, up 80 percent from $0.99 a year ago and up 34 percent from $1.33 in the previous quarter. Non-GAAP earnings per diluted share were $1.72, also a record, up 52 percent from $1.13 a year earlier and up 29 percent from $1.33 in the previous quarter.

For fiscal 2018, revenue was a record $9.71 billion, up 41 percent from $6.91 billion a year earlier. GAAP earnings per diluted share were a record $4.82, up 88 percent from $2.57 a year earlier. Non-GAAP earnings per diluted share were $4.92, also a record, up 61 percent from $3.06 a year earlier. "We achieved another record quarter, capping an excellent year," said Jensen Huang, founder and chief executive officer of NVIDIA. "In a powerful sign of our progress, attendees at NVIDIA's GPU Technology Conferences reached 22,000, up tenfold in five years, as software developers working in AI, self-driving cars, and a broad range of other fields continued to discover the acceleration and money-saving benefits of our GPU computing platform.

Aquantia to Deliver Multi-Gig Ethernet Capabilities on NVIDIA DRIVE Platforms

Aquantia Corp., a leader in high-speed, Multi-Gig Ethernet connectivity solutions, today announced that its automotive networking portfolio is the 10 Gbps Ethernet connectivity solution for the NVIDIA DRIVE Xavier and DRIVE Pegasus platforms for autonomous vehicles. The high-performance NVIDIA AI computing platforms featuring Aquantia Multi-Gig networking will be available to automotive partners starting in the first quarter of 2018.

NVIDIA DRIVE AI car computers use deep learning to process data from multiple cameras, radar, LIDAR and other sensors throughout the vehicle. To deliver Level 4 and Level 5 driving - which is categorized as a fully autonomous vehicle - hundreds of trillions of deep learning operations per second (TOPS) need to receive and process sensor data and immediately communicate critical decisions throughout the vehicle's systems. For example, the DRIVE Xavier processor parses all the information to understand a full 360-degree perception around the vehicle, and determine the presence and movement of pedestrians, other vehicles and objects as it plans a safe path forward. The Aquantia Ethernet products communicate the data and decisions back and forth throughout the system at 10 Gbps over automotive Ethernet cables to help provide a seamless autonomous experience.
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