If you ask what the most important technology trend is right now, I believe the first thing that comes to most people's mind is AI. In the past year, the boom of generative AI in the world has led to the unprecedented development of the AI industry, and at the same time, as a highly disruptive technology, generative AI is also rapidly infiltrating into the daily life of everyone, production and entertainment, so it can be said that to recognize AI, to understand AI, and to be able to use AI are the new requirements that this era puts on everyone. It can be said that knowing AI, understanding AI, and being able to use AI are the new requirements for everyone in this era.
To help people learn more about the AI hardware, software, and tools they are using to improve their work, play, and daily lives, AI industry leaderNvidiaA new weekly blog series called "Decoding AI" is now available on its official blog.
Blog Link:Click here to go
It is understood that this new section will be positioned as a guide for practitioners of the PC ecosystem empowered by NVIDIA's RTX AI technology, providing them with state-of-the-art guidance on the technology for gaming, creativity, development, productivity, and day-to-day use, in the hopes of making users more aware of RTX AI PCs.
In addition to news, the program will help consumers understand the technical terminology inherent in AI in a simple way through a series of content that amounts to a series of easy-to-understand popularization content, such as "What is TOPS?" and "Why should I use RAG? "Through these popularizations, we believe the public will better understand the benefits of AI.
Today, the "Decoding AI" column has launched its first article: "Uncovering the mystery of AI hardware, software and the tools behind them".
In this article, NVIDIA focuses on answering a number of questions about what AI is, how to judge AI, and what kind of performance AI PCs have, and why AI PCs for RTX are good.
First of all, as to what AI is, NVIDIA says that the ability of a computer program or machine to think, learn, and act without having to explicitly code using commands is AI. This is really a much easier explanation to understand.
Meanwhile, NVIDIA further explains generative AI in the article, saying it represents the next stage in AI's evolution toward content generation, with the ability to quickly create new content and iterate over it based on a variety of inputs, including text, images, sounds, animations, 3D models, or other types of data. Generative AI then generates new content in the same form or a new form.
There are actually reference standards for how to judge AI. NVIDIA gives a good reference: one way to measure AI performance is in teraops, or "trillion operations per second" (TOPS). Similar to the horsepower rating of an engine, TOPS can be used as a single metric to give users an idea of a PC's AI performance.
NVIDIA then went on to talk more about the benefits of RTX AI PCs. In terms of TOPS, this generation of GeForce RTX GPUs delivers from 200 AI TOPS to 1300 AI TOPS, including a wide range of options for laptops and desktop PCs. This compares to 10 to 45 TOPS for current AI PCs without discrete GPUs.
While GeForce RTX AI PCs and NVIDIA At the heart of the RTX workstation's powerful AI capabilities is a dedicated AI gas pedal, Tensor Core.
Immediately following, the article takes a look at the average user, gamer, creator, and developer, respectively, and delves into how RTX AI PCs and RTX workstations are empowering their work and lives.
For example, for the average user, HDR can be upgraded and added to the video stream with RTX Video, or NVIDIA Broadcast can be used for better noise cancellation, background blurring, and interference blocking in online meetings, and there are also localized Chat With RTX chatbots that make users' PCs or workstations smarter and more efficient for them. service. NVIDIA has also optimized Google's new open language model, Gemma, and Chat with RTX will soon support Gemma.
For gamers, the new DLSS technology allows them to improve their game's frame rate performance by up to 4x through pixel generation, while the light reconstruction feature further enhances the game's image quality, as well as NVIDIA ACE microservices, NVIDIA RTX Remix, and more, all of which can be used to make the gaming experience even more immersive and fun through the efforts of developers.
Creators can utilize RTX-accelerated Adobe Premiere Pro "Enhanced Speech" tools to achieve professionally recorded audio, and developers can quickly create, test and customize pre-trained, generative AI models and LLMs on NVIDIA AI Workbench with PC-class performance and memory footprints Generative AI models and LLMs can be optimized using NVIDIA TensorRT ......
NVIDIA says they've been at the forefront of AI for over a decade. And starting in 2018, with the introduction of RTX technology and the first consumer GPU built for AI (GeForce RTX), NVIDIA accelerated the shift to AI computing and has since become the centerpiece of AI PCs, bringing a wide range of fresh features and top performance to millions of users around the globe, and based on the booming growth of RTX PCs and workstation AI, NVIDIA has been built an ecosystem of more than 100 million users and 500 AI applications.
In other words, we're on the verge of the iPhone moment of AI, and the transformative potential of AI is constantly being realized, with a future to look forward to.
NVIDIA's new Decoding AI blog will reveal AI-related topics every week to make it easier for more people to master the technology and show off new hardware, software, tools, and acceleration features for RTX AI PC users, so interested parties can stay tuned to the blog for more information.