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Nvidia’s Upcoming Personal AI Computers Have a New Name and a High Price


Nvidia will release two AI personal computers On Tuesday, the company’s GPU technology conference is under a new brand called DGX to help researchers, scientists and developers, previously project figures.

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According to the company, a smaller DGX spark and desktop DGX station will take part in the Blackwell Ultra Platform NVIDIA. These computers are designed to adjust local models of developers, researchers, robotics, data scientists and students. To speed the power of the NVIDIA DGX cloud, it will be possible to accelerate the development of the power in cars. DGX spark is valuable at $ 4,000 and Reservations are already open. Price and availability for the DGX station This year will be produced by the Device, Asus, Boxx, Dell, HP, Lambda and Supermicro, including NVIDIA’s hardware partners.

DGX spark will use NVIDIA GB10 Grap Blackwell Supercip and Fifth Generation Tensor Cores, “Provides 1,000 trillion operations for the second rate and result of AI for a subtle press comment. Nvidia said that this car could handle the latest justification models DeepSeek R1.

DGX Station will use a stronger GB300 GB300 GB300 GB300 GRB300 GRB300 GRB300 GRB300 GRB300 GRB300 GRB Blackwell Ultra Desktop Supercip with a large 784GB compatible memory area for a great training and result.

See that: See NVIDIA’s GTC 2025 Keynote: All points in 16 minutes

When it is inseparable to the development of the AI ​​product, more companies and individuals are looking for solutions. Openai, Google, anthropic and others are a cost associated with the use of AI’s servers. After the use of a very long time, these costs are added quickly. For some, as researchers and creators who are constantly iterating over a project, the presence of a device that can do all these guest work can lead to the main cost. Moreover, there is less concern due to the slowing of servers due to high load. Information stored in local machinery is also more reliable. Local AI computers are preferred for financial institutions or hospitals that prefer to have sensitive information.





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