Personal computers coming from Ai Nvidia have a new name and a high price

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NVIDIA will issue personal computers from artificial intelligence The company said at the GPU Technology Conference on Tuesday that the project numbers that were previously known as DGX, which are the previous project numbers, to help researchers, scientists and developers.

AI AI ATLAS Technical Association

The company said that the smaller DGX spark and the DGX desktop will include the Blackwell Ultra platform from NVIDIA. These computers aim to developers, researchers, robotics developers, data scientists and students to control artificial intelligence models locally. It will also be possible to use the NVIDIA DGX Cloud power to accelerate the development if the energy on the machines is not enough. The DGX spark price is $ 4000 and Reservations are now open. The pricing and availability of the DGX station will come later this year and the device will be manufactured by NVIDIA hardware partners, which include ASUS, Boxx, Dell, HP, Lambda and SuperMicro.

Spark DGX Nvidia GB10 Grace Blackwell Superchip and Tensor Tensor Cores will “provide up to 1000 trillion operation per second from AI to calculate transportation and reasoning,” according to the company’s press statement. NVIDIA said this device can handle the latest thinking models, such as Deepsek R1.

DGX Superchip Grace Grace Blackwell Ultra Superchip will use more powerful with a firm memory space of 784 GB for training and great reasoning.

Watch this: Watch Keynote GTC 2025 Nvidia: All outstanding points in 16 minutes

Since artificial intelligence has become an integral part of the development of products, more companies and individuals are looking for solutions on the site. When taking advantage of the services from Openai, Google, Anthropic, etc., there is a cost associated with the use of artificial intelligence on their servers. After a lot of prolonged use, these costs quickly add. For some, such as researchers and creators who are constantly repeated in a project, the presence of a device can do everything on the site on the site can lead to great cost savings. In addition, there is less concern about the slowdown of servers due to a high pregnancy. Data stored on local machines are also safer. For financial institutions or hospitals that prefer to obtain sensitive data on the site, local computers prefer artificial intelligence.





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