A Nvidia, Chinese company that is currently a global reference in the chip market, announced the launch of its first GB10 processor for desktops. The novelty will initially be equipped for the Ascente GX10 model, mini-PC da ASUS, aimed at professional use with a focus on artificial intelligence (IA). Therefore, the proposal is to provide high-performance processing capacity for end consumers, something that until then was only accessible on large servers and research centers.
The main innovation of this Nvidia model is the delivery of a petaflop of exclusive computing power for AI applications. Ensuring cutting-edge technology, the processor of the Ascente GX10 will have 1.000 TOPS dedicated to AI. In comparison, This is a performance far superior to current notebook and computer standards, that with about 45 TOPS can already run artificial intelligence on machines.
Other technical details disclosed are that the launch will feature 128 GB of RAM and Nvidia's ConnectX-7 system, an interface that allows integration with other devices and, therefore, optimizes scalability for even more advanced intelligent applications.
Launch on your own device
With this release, ASUS becomes a pioneer in providing end users with a high-performance solution for AI. Nonetheless, Nvidia will also launch the processor for the brand's own device: 0 DGX Spark. Analysts in this market expect the new product to hit the market this month as well.
Although, the exact release date has not yet been announced, should be after the launch of ASUS. Nvidia's GB10 is based on the ARM HPC architecture (High Performance Computing), reinforcing the technology company's intention to provide high-performance computing.
Competition and market expectations
The price of the Ascente GX10 will only be revealed on the day of launch and ASUS reported that sales performance will be announced at the end of the month. About that, other brands are already working on manufacturing similar models: Lenovo and Dell are also developing mini-PCs that use the GB10 processor in conjunction with the GB200 GPU.
