


GPU manufacturer Nvidia recently launched a new service that allows customers to access its DGX AI supercomputer in the cloud. The company also released a new set of cloud-based tools for building generative AI systems. Since OpenAI launched the ChatGPT chatbot, this type of AI model has gained widespread popularity, and Nvidia has been profiting from it.
Nvidia CEO Jen-Hsun Huang revealed the details of the new product during a telephone earnings conference call on February 22. In the fiscal quarter, Nvidia's revenue was US$6.05 billion, slightly higher than the expected US$6.01 billion, but down 21% year-on-year.
Although the global economic slowdown is hurting profits, the company expects revenue to reach $6.5 billion in the first quarter of this year, up from the previous forecast of $6.33 billion, driven in large part by AI The craze drives GPU demand.
NVIDIA introduces GDX supercomputer into the cloud
Huang Renxun revealed that the service will be officially launched at the GTC Developer Conference held by the company in March this year. He said, “Nvidia DGX Cloud is the fastest and easiest way for developers to have their own DGX AI supercomputer. Users only need to open a browser to use it. This product is already available on Oracle Cloud Infrastructure and will soon be available. Used on Microsoft Azure, Google Cloud Platform and other platforms.”
Huang also discussed the company’s new AI cloud service at the meeting, which will be provided directly to customers by Nvidia and hosted on Microsoft Azure and Google Cloud and other major cloud platforms.
Huang Renxun pointed out that customers can use Nvidia’s AI cloud services on AI supercomputers, acceleration library software or pre-trained AI model layers. This move will provide customers with the world's most advanced AI platform while leveraging the storage, networking, security and cloud services provided by today's most advanced cloud platforms.
This means that customers will be able to use the platform to train and deploy large language models or other AI systems. In addition, Nvidia will also provide pre-trained generative AI models NeMo and BioNeMo - which Huang describes as "customizable AI models for enterprise customers who want to build proprietary generative AI models and services for their business."
"Through our new business model, customers can use NVIDIA's full range of AI computing services from their private cloud to public cloud." Huang added.
Customer interest in generative AI surges
Nvidia’s announcement may not go down well with some big customers, such as Google and Microsoft, both of which are Buy Nvidia chips to support their own AI products and services.
Nvidia currently dominates the GPU market for accelerating AI workloads, so as more and more enterprises buy its chips. The success of ChatGPT, along with the emergence of other generative AI models like Google Bard, has significantly improved the company's financial health.
Huang said that demand for GPUs and other processors is a major factor in improving the company's financial prospects. He described the emergence of such systems as "a new era of computing," noting that "this type of computer is completely revolutionary in its application because it democratizes programming for more people."
Talking about the ability of such models to write accurate code, he added: “This is an AI model that can write code for any application. For this reason, everyone who develops software is either starting to be alert, Either shocked, or actively developing products like ChatGPT and integrating it into their applications or services.” Activity, and activity around inferring large language models using Hopper (another of Nvidia’s GPU microarchitectures) and Ampere has surged in the past 60 days. There’s no doubt that the AI industry has undergone considerable changes in the past 60 to 90 days. changes," he added.
The above is the detailed content of Spurred by the popularity of ChatGPT, NVIDIA launches generative AI and supercomputing cloud services. For more information, please follow other related articles on the PHP Chinese website!

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