News Posts matching "NVIDIA DRIVE"

Return to Keyword Browsing

NVIDIA Announces Financial Results for First Quarter Fiscal 2019

NVIDIA today reported record revenue for the first quarter ended April 29, 2018, of $3.21 billion, up 66 percent from $1.94 billion a year earlier, and up 10 percent from $2.91 billion in the previous quarter.

GAAP earnings per diluted share for the quarter were a record $1.98, up 151 percent from $0.79 a year ago and up 11 percent from $1.78 in the previous quarter. Non-GAAP earnings per diluted share were $2.05, also a record, up 141 percent from $0.85 a year earlier and up 19 percent from $1.72 in the previous quarter.

"We had a strong quarter with growth across every platform," said Jensen Huang, founder and chief executive officer of NVIDIA. "Our datacenter business achieved another record and gaming remained strong.

NVIDIA Temporarily Halts Self-Driving Tests in Wake of Recent Crashes

(UPDATE 29MAR2018, 14H34): It has been confirmed that the UBER vehicle that suffered the crash in Arizona, mentioned in this news piece, was indeed running NVIDIA hardware. However, this hardware capability was apparently acquired via of-the-shelf acquisitions by UBER, and didn't employ NVIDIA's DRIVE platform. The autonomous driving capabilities of the UBER vehicle were instead handled by NVIDIA hardware, handled fully via UBER's own, proprietary software stack. NVIDIA, thus, is looking to distance itself from the even as much as possible when it comes to its DRIVE platform, so as to avoid any unwarranted bad press upon the system on which they pin such high hopes for the market.

Even though NVIDIA's CEO Jensen Huang has been delivering keynotes at this year's GDC that mainly focus on AI-driven workloads and system training, the company has decided to put a temporary stop to self-driving tests using its technology. This decision comes in the wake of the UBER crash, which killed a woman in Arizona just last week. To add some more heat to the mixture, it has just been announced that the NTSB is opening an investigation towards the accident involving a Tesla motor vehicle (although at the time, it isn't known whether the car was in self-driving mode or not).

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.
Return to Keyword Browsing