Exciting Updates at NVIDIA GTC 2020: RTX and A100 GPU Innovations

Table of Contents:

1. Introduction
2. The Emergence of Data-Driven Algorithms
3. The Impact of Large Applications on Computing Units
4. Introduction to Nvidia RTX
5. Accelerated Ray Tracing with DLSS 1.0
6. DLSS 2.0: Scaling and Improvement
7. The Advantages of Real-Time Ray Tracing
8. Introducing the Nvidia Omniverse
9. Nvidia Jarvis: A Conversational AI Framework
10. Nvidia A100: The New Data Center GPU
11. Breakthroughs in Ampere Architecture
12. The Power of Tensor Cores
13. Nvidia DGX: The Ultimate AI System
14. The Impressive Performance and Value of DGX A100
15. Optimizing AI Data Centers with A100 GPUs
16. Conclusion

Introduction

Welcome to Nvidia GT C 2020! In this event, Nvidia is unveiling a range of innovative technologies that are set to revolutionize the world of computing and accelerate the progress of machine learning algorithms. Over the years, we have witnessed significant advancements in the field of data-driven algorithms, which have paved the way for new possibilities in accelerated computing. At the same time, the emergence of large applications has necessitated a shift in the way we approach computing units. In this article, we will explore the groundbreaking technologies introduced by Nvidia, including RTX, DLSS, Omniverse, Jarvis, A100 GPU, and DGX.

The Emergence of Data-Driven Algorithms

One of the key drivers behind the advancements in accelerated computing is the emergence of data-driven algorithms. These algorithms, also known as machine learning algorithms, have fundamentally changed the dynamics of computing. Instead of relying on traditional methods of programming, data-driven algorithms leverage the power of large datasets to learn and make predictions. As a result, the processing and movement of data within data centers have become more important than ever.

The Impact of Large Applications on Computing Units

Another significant development that has Shaped the world of computing is the increasing size of applications. Nowadays, applications have grown so large that they cannot be accommodated by individual computers. Instead, the data center has become the new computing unit. To address this shift, Nvidia has introduced a new chip that is specifically designed to meet the processing demands of these large applications.

Introduction to Nvidia RTX

Nvidia RTX is a groundbreaking technology that combines two key innovations: accelerated ray tracing and deep learning. Ray tracing, a technique that simulates the behavior of light in a virtual environment, has been a long-standing goal in computer graphics. With the advent of Nvidia's RTX, real-time ray tracing is now a reality. This technology allows for more realistic and immersive visuals in games, movies, and other applications.

Accelerated Ray Tracing with DLSS 1.0

One of the major advancements in Nvidia RTX is the introduction of DLSS (Deep Learning Super Sampling) 1.0. DLSS leverages the power of deep learning to improve the resolution and visual quality of rendered images. By generating pixels necessary to Create a higher-resolution, anti-aliased image, DLSS enhances the overall visual experience. With DLSS 1.0, there is a noticeable improvement in image quality, although the enhancement may be subtle.

DLSS 2.0: Scaling and Improvement

Building upon the success of DLSS 1.0, Nvidia has introduced DLSS 2.0, which takes scaling and improvement to a whole new level. With DLSS 2.0, the technology is capable of scaling from a lower resolution, such as 720p, to generate the pixels necessary for a higher-resolution, anti-aliased image, such as 1080p. The improvements brought by DLSS 2.0 are remarkable, as it not only sharpens the image but also enhances details and lighting, resulting in a more visually stunning experience.

The Advantages of Real-Time Ray Tracing

Real-time ray tracing, made possible by Nvidia RTX, offers numerous advantages that were previously unattainable. The technology enables the rendering of highly realistic lighting, reflections, and shadows in real-time, immersing users in a visually-rich virtual environment. With the combination of ray tracing and AI-driven technologies, Nvidia has brought real-time ray tracing to the mainstream, delivering a level of visual fidelity that was once considered impossible.

Introducing the Nvidia Omniverse

Nvidia Omniverse is a revolutionary platform that harnesses the power of Nvidia's RTX 8000 GPUs to bring real-time cinematic-quality rendering to the world of virtual production and design. By leveraging the capabilities of the most powerful ray-tracing GPUs and tensor Core processing for AI, Omniverse enables content Creators to achieve beautiful, high-resolution, and high-performance visuals simultaneously. With Omniverse, Nvidia aims to empower artists and designers with a powerful tool that unleashes their creativity.

Nvidia Jarvis: A Conversational AI Framework

Nvidia introduces Jarvis, an application framework that combines the power of AI with the ability to create interactive 3D chatbots. Through the integration with Omniverse, Jarvis allows for the creation of conversational AI models that can understand and respond to questions in real-time. One of the AI models showcased by Nvidia is "Audio to Face," which animates a 3D model Based on audio input. Jarvis simplifies the development of conversational AI services, making it easier for creators to build interactive and engaging experiences.

Nvidia A100: The New Data Center GPU

The Nvidia A100 represents a major breakthrough in data center GPU architecture. Built on the Ampere architecture and utilizing TSMC's 7-nanometer process, the A100 delivers exceptional performance and efficiency. With advanced packaging technology and high-bandwidth memory (HBM), the A100 boasts 1.5 terabytes of frame buffer bandwidth. Its tensor core architecture, with new numerical formats and sparsity acceleration, further enhances performance for a wide range of applications.

Breakthroughs in Ampere Architecture

The Ampere architecture, the backbone of the Nvidia A100 GPU, introduces several groundbreaking features. Firstly, it utilizes TSMC's 7-nanometer process, optimized specifically for Nvidia's requirements. Additionally, the A100 employs cutting-edge packaging technology called COAS (Chip on Wafer on Substrate), which allows for high-speed interconnections between the memory and the GPU chip. These advances in architecture enable the A100 to deliver exceptional performance and take data center computing to new heights.

The Power of Tensor Cores

Tensor cores are a critical component of the Ampere architecture and play a crucial role in accelerating AI-related workloads. With the introduction of Tensor Float32, which combines the precision of FP32 with the range of FP16, the A100 can deliver exceptional performance for AI training. Furthermore, the Ampere architecture leverages sparsity acceleration, effectively compressing neural networks and improving processing efficiency. These advancements in tensor core technology greatly enhance the capabilities of the A100 GPU.

Nvidia DGX: The Ultimate AI System

The Nvidia DGX is a fully integrated AI system designed to meet the needs of AI researchers. With the latest generation, DGX A100, Nvidia has created the ultimate instrument for AI research and development. The DGX A100 offers unparalleled performance, featuring a staggering peak FP16 performance of 5 petaflops and a peak TF32 performance of 2.5 petaflops. Its optimized design and ease of use make it the go-to choice for researchers looking to accelerate their AI workloads.

The Impressive Performance and Value of DGX A100

The Nvidia DGX A100 delivers highly impressive performance while offering exceptional value. With its powerful GPUs and optimized software, the DGX A100 is capable of processing complex AI workloads in Record time. Despite its exceptional performance, the DGX A100 comes at an affordable price, making it accessible to a wide range of researchers and organizations. The combination of performance and value makes the DGX A100 a game-changer in the field of AI research.

Optimizing AI Data Centers with A100 GPUs

By leveraging the power of the Nvidia A100 GPUs, AI data centers can be optimized for maximum performance and efficiency. The high throughput and scalability of these GPUs, combined with advanced software solutions, allow for the consolidation of various server architectures into a single platform. This consolidation reduces costs and power consumption significantly, offering a more cost-effective and environmentally-friendly solution for AI data centers.

Conclusion

In conclusion, Nvidia GT C 2020 has showcased a range of groundbreaking technologies that are set to revolutionize the world of computing and accelerate the progress of artificial intelligence. From Nvidia RTX with accelerated ray tracing and DLSS to Nvidia Omniverse, Jarvis, A100 GPU, and DGX A100, Nvidia is pushing the boundaries of what is possible in AI and data center computing. These innovations will empower artists, researchers, and organizations to create, develop, and deploy AI applications with unprecedented performance and efficiency.

Highlights:

• Nvidia GT C 2020 unveils groundbreaking technologies for accelerated computing and machine learning algorithms
• Data-driven algorithms and large applications have transformed the dynamics of computing units
• Nvidia RTX introduces accelerated ray tracing and DLSS for enhanced visual experiences
• Real-time ray tracing is now a reality, revolutionizing the world of computer graphics
• Nvidia Omniverse combines the power of RTX 8000 GPUs with AI-driven technologies for real-time cinematic-quality rendering
• Nvidia Jarvis simplifies the creation of interactive 3D chatbots with conversational AI capabilities
• Nvidia A100, built on the Ampere architecture, delivers exceptional performance and efficiency in data center GPU computing
• Tensor cores play a pivotal role in accelerating AI workloads, improving performance and efficiency
• Nvidia DGX A100 is the ultimate AI system, offering unmatched performance and value for AI researchers
• A100 GPUs optimize AI data centers, reducing costs and power consumption while maximizing performance and scalability

FAQ:

Q: What does Nvidia RTX offer? A: Nvidia RTX offers accelerated ray tracing and DLSS technology for enhanced visual experiences in games, movies, and more.

Q: What is Nvidia Omniverse? A: Nvidia Omniverse is a platform that combines the power of RTX GPUs with AI technologies for real-time cinematic-quality rendering.

Q: What is Nvidia Jarvis? A: Nvidia Jarvis is an application framework that simplifies the creation of interactive 3D chatbots with conversational AI capabilities.

Q: What is the Nvidia A100 GPU? A: The Nvidia A100 is a data center GPU based on the Ampere architecture, offering exceptional performance and efficiency.

Q: What is the Nvidia DGX A100? A: The Nvidia DGX A100 is a fully integrated AI system designed to meet the needs of AI researchers, offering unparalleled performance and value.