Nvidia wants to make it easier for automotive companies to build self-driving cars, so it's releasing a brand new supercomputer designed to drive them. The chipmaker claims its new supercomputer is the world's first artificial intelligence computer designed for "Level 5" autonomy, which means vehicles that can operate themselves without any human intervention. The new computer will be part of Nvidia's existing Drive PX platform, which the GPU-maker offers to automotive companies in order to provide the processing power for their self-driving car systems. Huang announced Nvidia will soon release a new software development kit (SDK), Drive IX, that will help developers to build new AI-partner programs to improve in-car experience.
Then researchers found its graphics chips were also good at powering deep learning, the software technique behind recent enthusiasm for artificial intelligence. Longtime chip kingpin Intel and a stampede of startups are building and offering chips to power smart machines. This week the company released as open source the designs to a chip module it made to power deep learning in cars, robots, and smaller connected devices such as cameras. In a tweet this week, one Intel engineer called Nvidia's open source tactic a "devastating blow" to startups working on deep learning chips.
Then researchers found its graphics chips were also good at powering deep learning, the software technique behind recent enthusiasm for artificial intelligence. This week the company released as open source the designs to a chip module it made to power deep learning in cars, robots, and smaller connected devices such as cameras. While his unit works to put the DLA in cars, robots, and drones, he expects others to build chips that put it into diverse markets ranging from security cameras to kitchen gadgets to medical devices. In a tweet this week, one Intel engineer called Nvidia's open source tactic a "devastating blow" to startups working on deep learning chips.
For months now, major companies have been hooking up--Uber and Daimler, Lyft and General Motors, Microsoft and Volvo--but Intel CEO Brian Krzanich's announcement on Monday that the giant chipmaker is helping Waymo, Google's self-driving car project, build robocar technology registers as some seriously juicy gossip. Krzanich said Monday that Waymo's newest self-driving Chrysler Pacificas, delivered last December, use Intel technology to process what's going on around them and make safe decisions in real time. And last year, Google announced it had created its own specialized chip that could help AVs recognize common driving situations and react efficiently and safely. "Our self-driving cars require the highest-performance compute to make safe driving decisions in real-time," Waymo CEO John Krafcik said in a statement.
The firms have established a startup support programme at Volkswagen's Data Lab to provide technical and financial support for international startups developing machine learning and deep learning applications for the automotive industry. Volvo Cars, Autoliv and Zenuity will use Nvidia's AI car computing platform as the foundation for their own advanced software development. Nvidia has partnered with automotive supplier ZF and camera perception software supplier Hella to deploy AI technology on the New Car Assessment Program (NCAP) safety certification for the mass deployment of self-driving vehicles. The firms will use Nvidia's Drive AI platform to develop software for scalable modern driver assistance systems that connect their advanced imaging and radar sensor technologies to autonomous driving functionality.
In other words, GPU delivers better prediction accuracy, faster results, smaller footprint, lower power and lower costs. What is fascinating about Nvidia is that it has a full stack solution architecture for DL applications, making it easier and faster for data scientist engineers to deploy their programs. As part of a complete software stack for autonomous driving, NVIDIA created a neural-network-based system, known as PilotNet, which outputs steering angles given images of the road ahead. In addition to learning the obvious features such as lane markings, edges of roads, and other cars, PilotNet learns more subtle features that would be hard to anticipate and program by engineers, for example, bushes lining the edge of the road and atypical vehicle classes (Source:Cornell university CS department).
The graphics specialist has been applying its graphics processing units (GPUs) to train AI models, setting itself up to tap an AI chip market that could be worth $16 billion in 2022, according to Markets and Markets. The company launched its first-generation DRIVE PX platform two years ago, hoping to partner with automakers and develop self-driving cars. All of these partnerships have pushed NVIDIA's automotive revenue from just $56 million at the end of fiscal year 2015 to $140 million in the first quarter of fiscal 2018. NVIDIA saw this trend early and launched its Tesla GPU accelerators around five years ago for supercomputing applications.
In 2015, the company revealed the Nvidia Drive PX -- the world's first in-car super computer. "That has now snowballed into them being basically the leader for autonomous driving hardware for the auto industry," said Egil Juliussen, director of research and principal analyst for automotive technology at IHS Markit. Intel, so far Nvidia's biggest competitor in self-driving cars, plans to have autonomous BMWs powered by Intel processors in production by 2021. Nvidia already has more than 80 automakers, software firms, transportation network providers and other companies using its chips to develop self-driving car technology, and last month Nvidia added Volvo as one of its newest partners.
Today NVIDIA and Baidu today announced a broad partnership to bring the world's leading artificial intelligence technology to cloud computing, self-driving vehicles and AI home assistants. Speaking at Baidu's AI developer conference in Beijing, Baidu president and COO Lu Qi described his company's plans to work with NVIDIA to: Today, we are very excited to announce a broader and deeper strategic partnership with NVIDIA," said Lu Qi, Baidu president and COO, at Baidu Create 2017 in Beijing. Combined with Baidu's PaddlePaddle deep learning framework and NVIDIA's TensorRT deep learning inference software, researchers and companies can harness state-of- the-art technology to develop products and services with real-time understanding of images, speech, text and video. To accelerate AI development, the companies will work together to optimize Baidu's open- source PaddlePaddle deep learning framework on NVIDIA's Volta GPU architecture.
Chinese search giant Baidu announced Wednesday it will work with Nvidia on initiatives focused on artificial intelligence. Our collaboration aligns our exceptional technical resources to create AI computing platforms for all developers -- from academic research, startups creating breakthrough AI applications, and autonomous vehicles." In the past, both companies have collaborated on Baidu's Apollo open platform for self-driving and autonomous cars. Baidu's partnership with Nvidia also comes as the search company significantly bolsters its self-driving car research efforts.