With the rise in traffic cameras, autonomous vehicles, and smart cities, there's a demand for faster and more efficient object detection and tracking models. Learn how to design, train, and deploy building blocks of a hardware-accelerated traffic management system based on parking lot camera feeds.

Every March US chip giant NVIDIA hosts its GPU Technology Conference in Santa Clara, rolling out new chip designs and products while showcasing its latest tech and AI breakthroughs. GTC 2019 runs next Monday through Thursday (March 18–21), and while we can only speculate what surprises NVIDIA CEO Jensen Huang might have in store for us, we can get some sense of where the company is headed by looking at what it's been up to for the last 12 months. NVIDIA is steadily expanding its foothold in artificial intelligence and in 2018 contributed numerous noteworthy research results to the machine learning community, including StyleGAN, video-to-video translation, WaveGlow, and more. The company's AI-related efforts make sense, as NVIDIA is a major supplier of graphics cards to AI researchers and developers. Because GPUs remain the dominant option for training machine learning models, NVIDIA sales will obviously benefit from AI development and deployment.

With NVIDIA's 2019 GTC event right around the corner, our thoughts focus on the extreme innovation for which NVIDIA has become known, and how to solve the resource challenges that sometimes accompany these groundbreaking advancements. Advancing IT workloads like AI and analytics requires cutting-edge hardware and specialized skills, not only from the teams who use them, but from the data centers and platforms which host them. These compute- and data-heavy workloads are designed to provide answers to some of our world's biggest challenges. To get there, a new generation of tools bring increased requirements for physical resources like power and cooling, in addition to coming in smaller form factors, which results in greater overall density. This combination of capability and resource demand is often met by data center constraints as facilities struggle to meet airflow, power, and cooling requirements.

It's 2019 and AI is well past the hype phase. The technology has advanced, with faster computing chips, smaller form factors, and improved power efficiency. As a result, there has been explosive growth in online AI training courses to get developers and data scientists started and advance their skills. Inboxes now flood with invitations to the newest AI conferences you "must attend." They offer a chaos of information on the newest advancements and resources to stay up to date.

We are hosting an interactive, informal meetup at GTC 2019 for attendees using or interested in using NGC. This event is a great opportunity to collaborate and network with artificial intelligence, machine learning, and HPC experts from different companies and industries around the globe. Attendees will also have the chance to listen to NGC use cases, learn about the product portfolio, participate in a live Q&A, and sign up for the NGC User Group. Food and drinks are included! Space is limited – please RSVP for this exclusive event now to secure your spot.