When asked what the most important technology trends are right now, AI is the first thing that comes to most people's minds. In the past year, the global boom of generative AI has led to the unprecedented development of the artificial intelligence industry, and at the same time, as a highly disruptive technology, generative AI is also rapidly penetrating into everyone's daily life, production and entertainment.
To help people learn more about the AI hardware, software, and tools they are using, and to improve their work, play, and daily lives, NVIDIA, a leader in the AI industry, is launching a new weekly blog series on its official blog called "Decoding AI."
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It is understood that this new column will be positioned as a guide for PC ecosystem practitioners empowered by NVIDIA RTX AI technology, providing them with the most advanced technical guidance in games, creation, development, productivity and daily use, hoping to let users know more about RTX AI PCs.
In addition to news, the program will also help consumers understand AI-related technical terms in a simple way through a series of content, which is equivalent to a series of easy-to-understand popular science content, such as "What is TOPS?" Why should I use RAG? Through these popular sciences, I believe that the public will better understand the benefits of artificial intelligence.
Today, the "Decoding AI" column has launched its first article: "Demystifying AI Hardware, Software and the Tools Behind It".
In this article, NVIDIA focuses on answering a series of questions such as what AI is, how to judge AI, what kind of performance AI PC has, and why RTX's AI PC is good.
First of all, as for what AI is, Nvidia said that the ability of a computer program or machine to think, learn, and act without explicitly coding with commands is AI. This is indeed a much easier to understand explanation.
Meanwhile, Nvidia further explains generative AI in the article, saying that it represents the next stage in the evolution of AI to content generation, with the ability to quickly create new content and iterate on 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 in a new form.
In fact, there are reference standards for how to judge AI. Nvidia gives a good reference value: one way to measure AI performance is to measure it in teraops. teraops stands for "Trillion Operational Seconds" (TOPS). Similar to the horsepower rating of an engine, TOPS serves as a single metric to give users an idea of the AI performance of the PC.
Nvidia then went on to talk about the advantages of RTX AI PCs, which can range from 200 AI Tops to 1300 AI Tops, including laptops and desktops. In comparison, AI PCs without discrete GPUs currently have 10 to 45 tops of computing power.
At the heart of the powerful AI capabilities of GeForce RTX AI PCs and NVIDIA RTX workstations is dedicated AI accelerator Tensor Cores.
The article then goes into an in-depth look at how RTX AI PCs and RTX workstations empower their work and lives from the perspectives of casual users, gamers, creators, and developers.
For example, for ordinary users, RTX Video can be used to upgrade HDR and add it to the stream, or NVIDIA Broadcast can better achieve noise removal, background blur, and block distractions in meetings, and there is also a localized Chat with RTX chatbot that can make the user's PC or workstation serve them smarter and more efficiently. At the same time, not long ago, NVIDIA also optimized Google's new open language model GEMMA, and Chat with RTX will soon support GEMMA.
For gamers, the new DLSS technology can increase frame rate performance by up to 4x with pixel generation, and the Ray Reconstruction feature can further improve the image quality of games, as well as NVIDIA Ace microservices, NVIDIA RTX Remix, and more.
Creators can take advantage of the RTX-accelerated Adobe Premiere Pro Enhanced Voice tool for professionally recorded audio, and developers can quickly create, test, and customize pretrained generative AI models and LLMs with PC-class performance and memory footprint on NVIDIA AI Workbench, and NVIDIA TensorRT to optimize models for ......
Nvidia says they have been at the forefront of artificial intelligence for more than a decade. And starting in 2018, with the introduction of RTX technology and the first consumer-grade GPU (GeForce RTX) built specifically for AI, NVIDIA accelerated the shift to AI computing and has since become the core of AI PCs, bringing a variety of fresh features and top-notch performance to millions of users around the world, and building on the boom in RTX PC and workstation AI, NVIDIA has built an ecosystem of more than 100 million users and 500 AI applications.
In other words, we're on the verge of AI's iPhone moment, and the transformative potential of AI is being unleashed, and the future is exciting.
NVIDIA's new "Decoding AI" blog section will reveal AI-related topics every week, so that more people can master related technologies, and show new hardware, software, tools, and acceleration features for RTX AI PC users.