NVIDIA GTC Europe 2018 - Jensen Huang Keynote

TL;DR

NVIDIA introduces Turing GPU architecture, accelerated computing, and deep learning to revolutionize computer graphics, machine learning, and data analytics.

Transcript

I am a protector exploring the expanses of space to keep our planet safe and all the species that call it home I am giving doctors the vision to create amazing new cures in using the hearts own magnetic field to diagnose itself I am The Guardian searching a mountain of data to keep us safe when you travel to see if people to find a lost child and t... Read More

Key Insights

• ❤️‍🩹 Moore's Law has ended, and computing advancements have slowed down to around 3% per year.
• 🙏 NVIDIA's accelerated computing approach has resulted in a thousand-fold increase in performance over the last decade.
• 🈷️ Deep learning has revolutionized software development by enabling algorithms to learn from vast amounts of data.
• 💝 Turing, NVIDIA's latest GPU architecture, offers real-time ray tracing, photorealistic rendering, high-performance deep learning, and compatibility with various frameworks and applications.
• 👶 NVIDIA is expanding its architecture into new markets such as film rendering, hyper-scale deep learning, and data analytics.
• 👻 The integration of spark and arrow allows for seamless communication between different data science frameworks and enables rapid and efficient processing of large-scale data.

Questions & Answers

Q: What has replaced Moore's Law in computing advancements?

Moore's Law has ended, and computing is now advancing at a much slower pace of 3% per year. However, NVIDIA has introduced accelerated computing as a way to continue scaling computing performance even after Moore's Law.

Q: How has deep learning revolutionized the way software is written?

Deep learning allows software to be written by algorithms that learn from vast amounts of data and run on supercomputers. This has given rise to a new era of AI and has ignited excitement in the computer industry.

Q: How has NVIDIA expanded its architecture over time?

NVIDIA has expanded from the CUDA 1 architecture to the current Turing architecture, with each step expanding the reach of their architecture to different domains, such as computer graphics, material physics, deep learning, and more.

Q: What are the key benefits of NVIDIA's new GPU architecture, Turing?

Turing offers real-time ray tracing, photorealistic rendering, high-performance deep learning, and compatibility with various frameworks and applications. It provides a significant increase in performance compared to its predecessor, Pascal.

Summary & Key Takeaways

• NVIDIA has developed the Turing GPU architecture, which combines artificial intelligence (AI) and computer graphics to revolutionize real-time ray tracing in computer graphics.

• The company has also introduced accelerated computing, which involves focusing on one domain at a time to accelerate computing performance and create new algorithms and architectures.

• Deep learning, written by algorithms created by computer scientists, enables a new era of AI and excites the computer industry with its possibilities.