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2026 m. birželio 1 d., pirmadienis

Nvidia unveils powerful chip for Windows laptops


“Tech giant Nvidia on Monday unveiled a powerful laptop chip for Windows devices, aiming to gain a foothold in the next generation of consumer PCs with built-in artificial intelligence (AI) technology.

 

The move puts the US company in the crosshairs of Apple, Intel and AMD in the PC sector, although the new devices with its chips are likely to be very expensive. [1]

 

It also shows Nvidia – which the AI ​​boom has made the world’s most valuable company – is trying to diversify into the consumer market despite its record profits selling chips to global tech giants for data centers. Microsoft and Nvidia are set to reinvent the computer,” said Nvidia CEO Jensen Huang, unveiling the RTX Spark chip on the eve of the Computex trade show in Taipei. The role of artificial intelligence in communication and media: How it helps understand spreading narratives “If you want to do digital biology, no problem. If you want to do seismic processing, no problem. If you want to do astrophysics, no problem,” added Huang, who called the chip “an incredible computer.” “It’s on the same scale as reinventing the telephone and becoming what we now know as a smartphone,” he said. Nvidia said laptops and desktops with RTX Spark chips, which will be made by companies such as Dell and Lenovo, will be available this fall. This is not the first time that Windows devices will run Nvidia chips. The company’s chips were installed in Windows tablets in the early 2000s.

 

But the new computers are being positioned as tools that can easily run AI functions, such as agents that can perform tasks assigned by the user.

 

Calls it an “existential threat” to rivals

Nvidia is best known for its GPUs, specialized chips originally designed to quickly render game graphics, but more recently as the engine of chatbots and other AI tools. As governments and companies invest hundreds of billions of dollars in AI infrastructure, the company’s value has surpassed $5 trillion — more than the GDP of Japan or India. But Monday’s announcement focuses on the CPU, the central processing unit that acts as the brain of a personal computer. Nvidia is bypassing the traditional PC supply chain to create a complete hardware monopoly,” Stephen Wu, a former AI software engineer and founder of venture capital firm Carthage Capital, told AFP."

 

1. How could you evaluate future price of laptop with „RTX Spark“?

 

Laptops featuring the new Nvidia "RTX Spark" superchip are expected to start above $2,000.

            Because these models pack massive hardware—including a Blackwell GPU, an Arm-based CPU, and up to 128GB of unified memory—heavy memory shortages will initially keep high-end pricing elevated.

           

Current & Future Price Outlook

           Initial Launch (Fall 2026): Expect premium ultrabooks and creator laptops (like the Microsoft Surface Laptop Ultra) to land between 2000 and 3500 dollars.

Maxed-out models and variants with large unified memory pools will cost significantly more.

           1-2 Year Horizon (2027-2028): As the 3nm TSMC manufacturing process matures and memory yields improve, prices will likely drop to around 1500 dollars for entry-level tiers.

           Future Tech: Historically, premium Nvidia "superchips" command a high price premium. Desktop counterparts (like the DGX Station) can reach well over 100000 dollars. While the RTX Spark is tailored for laptops, its high-end variants and local AI capabilities keep its pricing out of budget-tier territory.

What You Are Paying For

 

The RTX Spark is Nvidia's entry into consumer PC chips, designed specifically to run personal AI agents locally.

 

You are essentially paying for:

           An Arm-based 20-core Grace CPU and a Blackwell GPU with 6,144 cores connected by NVLink.

           The ability to locally run massive 120B-parameter models and handle 1-million-token contexts.

           High-end gaming performance (equivalent to an RTX 5070 laptop GPU) while drawing significantly less power in thin, lightweight 14mm-to-16mm chassis.

 


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