Nvidia launches PC chip to bring AI directly to personal computers

[littlemissmartypants]

Source: Reuters

Nvidia CEO Jensen Huang, who is in Taiwan for the Computex conference, said the RTX Spark PC chip is part of Nvidia's effort with Microsoft (MSFT.O), opens new tab to "reinvent the PC" ​for the AI era, after three years of collaboration between the companies.

The chip is designed to run AI ​agents locally rather than relying solely on cloud computing. Huang said that it was developed ⁠with Taiwan's MediaTek (2454.TW), opens new tab on the RTX Spark PC chip.

"The RTX Spark looks to transform the traditional app-centric PC to ​a real useful Agentic AI personal computer which will eventually be in every home in coming years as private edge ​AI agents become pivotal," said Neil Shah, Counterpoint Research co-founder.

"This is going to be the 'RTX Spark' moment for the personal computing segment like how iPhone, ChatGPT or DeepSeek have been."

Read more: https://www.reuters.com/world/china/nvidia-ceo-kick-off-dominate-computex-gathering-taipei-2026-05-31/

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By Max A. Cherney and Wen-Yee Lee
May 31, 20267:05 PM EDT
Updated 18 mins ago

Nvidia is the world's most valuable company.

[AZJonnie]

1. Well, sure. They want to offload the work to YOUR PC, e.g. YOUR electrical bill

I don't think these will be any such revolution because there's not that much benefit to a consumer. Even the BS AI you get in "Google Answers" will still be capable of way more than what you can do running an LLM locally, even with one of these gadgets. Also, people already HAVE this ability. It's called a GPU, or graphics card. I have Ollama running on my GPU right now, locally, unconnected to the internet.

If they put these in people's computers, I'd guess they'll afterwards tell you that what you REALLY should use them for is as part of an "AI Net", so that your computer can be leveraged as just part of one big answer machine, rather than really being a local copy that's just for your use. The AI companies will offer you small discounts in your subscription if you use them this way, that type of thing.

Nothing would be better for their business model that getting people to make their own homes and PC's an actual part of the AI network. Distributed data centers, that the CONSUMER pays the bills on.

[lapfog_1]

2. No... this isn't a play to create a distributed replacement for datacenters.

RTX Spark: A desktop/laptop system-on-a-chip that pairs Blackwell graphics with an Arm CPU. It is highly efficient, drawing just single-digit wattage at idle and scaling up to 80W at full load.

80 watts is probably less than a current laptop CPU with attached laptop GPU.

much less than a deskside CPU... and a deskside CPU paired with a GeForce gamer GPU... try well over 1000 watts.

This isn't for LLM training, but AI inference... and for GPU graphics / CPU general math.

Running AI learning at the edge makes no sense... latency will kill you. So forget doing training operations with a million laptops burning electricity that you pay for.