As the AI revolution continues to accelerate, NVIDIA founder and CEO Jensen Huang took the stage at GTC China 2017 to unveil groundbreaking technologies that are set to transform the way artificial intelligence is adopted on a global scale. The event, which drew over 3,500 scientists, engineers, and media professionals, marked the beginning of the GTC Global Tour.
In his keynote speech, Huang highlighted how major internet companies are integrating deep learning into services used by billions of people. He emphasized the exponential growth of AI inference workloads, citing examples from various fields: daily inference calculations in video processing reach up to 300 billion times, in speech recognition they exceed 50 billion, and in language translation, they surpass 700 billion.
To address this growing demand, NVIDIA introduced TensorRT 3, the world’s first programmable AI inference software. This powerful tool optimizes neural networks for production environments, significantly improving performance across cloud and edge devices, including autonomous vehicles and robots, while also reducing costs.
When paired with the latest NVIDIA GPUs, TensorRT 3 enables ultra-fast and efficient AI reasoning across all frameworks. It powers a wide range of AI-driven services such as image and speech recognition, natural language processing, and personalized recommendations. Huang demonstrated that with the Tesla V100 GPU, the system can recognize up to 5,700 images per second, compared to just 140 images per second using traditional CPUs.
This platform not only delivers speed but also efficiency. A single server equipped with NVIDIA's latest GPU outperforms 150 CPU servers, effectively replacing the computing power of 13 CPU-only data centers.
In addition to TensorRT 3, Huang announced several other AI acceleration tools, including the DeepStream SDK for large-scale real-time video analytics and CUDA 9, an advanced computing platform that boosts high-performance computing and deep learning applications.
NVIDIA also revealed that major Chinese cloud service providers like Alibaba, Baidu, and Tencent have deployed Tesla V100 GPU accelerators in their cloud infrastructures. Leading OEMs such as Huawei, Inspur, and Lenovo have adopted NVIDIA’s HGX server architecture, leveraging the Tesla V100 to build next-generation accelerated data centers.
Huang also showcased NVIDIA’s open autopilot computing platform, DRIVE, which has been embraced by 145 autonomous driving startups. DRIVE AV integrates sensory data from cameras, radar, and lidar, combined with deep learning and computer vision algorithms, to support L4 and L5 level autonomy.
NVIDIA’s Xavier chip, the world’s first self-contained processor, was also highlighted. As the most complex system-on-chip to date, it will be available to early partners in Q1 2018 and fully launched in Q4 2018. JD.com has already adopted the Jetson platform to enhance its AI-driven logistics and delivery systems.
With annual package deliveries exceeding 30 billion and growing at 50% annually, JD.com is developing both the JDrover and JDrone, capable of delivering packages and carrying up to 30kg, respectively. The company aims to deploy a fleet of 1 million drones by 2022.
NVIDIA also announced new partnerships under its Metropolis initiative, including Hikvision, the world’s leading intelligent video solutions provider. With over 50 top companies already using NVIDIA Metropolis, Alibaba and Huawei have joined the program. By 2020, NVIDIA plans to leverage over one billion city cameras to improve traffic management, emergency alerts, and missing person searches.
Looking ahead, NVIDIA will continue its global journey, sharing its AI innovations with developers in cities like Munich, Tel Aviv, Taipei, Washington, and Tokyo.
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