The Hot Take: Is ARM going to shine or show it's mid-range performance?
The NVIDIA N1X is surely powerful enough for the Windows-on-Arm market, but the current prototype software prevents it from reaching its full potential. User Puts Microsoft's Unreleased NVIDIA N1X-Equipped Surface Laptop Ultra To Test; Discovers Chip Being Held Back by Unfinished Drivers The NVIDIA RTX Spark laptops will debut in the coming weeks, and if you were wondering about their performance numbers, here is an early sneak peek by a TechPowerUp user, who got his hands on an early prototype from Microsoft. The user "Fouquin" says he found the Microsoft Surface Laptop Ultra with NVIDIA's RTX Spark N1X on the […]Read full article at https://wccftech.com/nvidia-rtx-spark-shows-strong-potential-but-early-prototype-leaves-plenty-of-performance-on-the-table/
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The Hot Take: Still not buying the ARM SoC's are better than discrete system CPUs. We'll have to see how Intel/AMD ACE instructions far against this.
NVIDIA has started using clusters of its own Vera processors to develop future CPUs, GPUs, and AI accelerators. The company says initial electronic design automation testing shows performance improvements of up to 1.
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The Hot Take: Interesting, we'll see if they get the ext GPU with the SoC internal GPU issues worked out but I'm still thinking Risc-V may do it better.
Windows on Arm systems were long regarded as an interesting alternative to conventional PCs, but they were significantly limited when it came to demanding hardware support. A current test now shows that this situation is gradually changing. A notebook with Qualcomm Snapdragon X Elite could be successfully operated with an external NVIDIA GeForce RTX 4060, […]
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The Hot Take: ARM isn't the answer, sorry.
The decision to employ older Cortex-X925 and Cortex-A725 cores on the RTX Spark to form a 20-core CPU configuration will probably haunt NVIDIA because a new Cinebench 2026 leak reveals that the chipset produces subpar multi-core results, despite Microsoft’s Surface Laptop Ultra housing the SoC set to the ‘High Performance’ profile. Fortunately, the RTX Spark manages to retain some dignity in the single-core benchmark. High Performance mode on Surface Laptop Ultra isn’t enabled by default, but hidden configuration allows RTX Spark’s Cortex cores to pull nearly 50W in new test We’ve previously reported that the altered Cortex-X925 cores running RTX Spark were […]Read full article at https://wccftech.com/rtx-spark-cinebench-2026-disappointing-multi-core-results/
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The Hot Take: Interesting...
Qualcomm has introduced its first-ever CPU designed for Data Centers, the Dragonfly C1000, which leverages the Oryon architecture. Qualcomm Enters The Agentic AI CPU Race With Dragonfly C1000 Chip, Oryon-Based With Over 5 GHz Clocks, Over 250 Cores, & Aims To Achieve Single-Core Leadership One of the biggest announcements by Qualcomm today was its first release of a CPU for the data center segment, called the Dragonfly C1000. This is a chip purpose-built for Agentic AI & General-Purpose workloads, delivering best-in-class power efficiency and TCO. As per Qualcomm, the Dragonfly C1000 is based on a custom-designed Oryon core architecture that […]Read full article at https://wccftech.com/qualcomm-single-core-leadership-first-server-cpu-dragonfly-c1000-250-cores-5-ghz-2028/
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The Hot Take: I'm interested in the Surface with this chip to get a decent GPU on an ARM setup and play with ARM Windows more personally. Only professionally worked with it and that was only an inch deep.
Computex 2026 and GTC Taipei will go down in history as the moment NVIDIA used to officially announce its entrance into the PC market. During his keynote at the Taipei Music Center, CEO Jensen Huang announced the RTX Spark – formerly codenamed N1 and N1X – which will power an array of premium laptops and small form factor systems coming this
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The Hot Take: Will have to see what the final products show us.
The N1X reportedly comes in two SKUs: a top-end 20-core option with 6,144 CUDA cores matching the desktop RTX 5070, and a cut-down 18-core option with 5,120 CUDA cores. The standard N1 also has two configs, one with a 12-core CPU and 2,560 CUDA cores and a 10-core model with 2,048 CUDA cores.
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The Hot Take: Have they given up in trying to infiltrate the WinTel market to go for them Ai dollars?
The strategic significance of Arm's current transformation lies in its transition from a volume-dependent mobile component provider to a value-driven infrastructure architect. As the global smartphone market faces structural saturation, the organization is pivoting toward Agentic and Physical AI to redefine its commercial relevance. The core of this strategy is to increase the average selling price per chip by packing higher complexity—measured in core density and orchestration capabilities—into each unit, thereby ensuring revenue growth even as hardware shipment volumes stabilize.
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The Hot Take: So was ARM not breaking into the WinTel market so they shifted to Ai market or are they just chasing the highest dollars?
Investment bank UBS reckons agentic AI will send CPU demand soaring, with Arm and AMD best placed to grab the spoils.
UBS analysts believe the growth of agentic AI software will drive strong demand for CPUs in the AI era. The bank said agentic AI increases processor workloads and favours chips with higher core counts and better power efficiency.
That view gives Arm the biggest potential upside, followed by AMD. Intel could benefit too, since a growing total addressable market tends to lift more than one silicon boat.
In fresh coverage of British chip design house Arm, UBS said CPU demand is surging. The bank said agentic AI computing will favour chips with higher core counts and a bias towards power efficiency.
UBS reckons the total server market could grow five times by calendar year 2030. It put the figure at $170bn, up from $30bn in calendar year 2025.
Within that market, UBS expects Arm to benefit the most. The bank said Arm could potentially grab as much as 40-45 per cent of the total share, which would make the x86 crowd choke on its roadmaps.
The bank’s report cited expert comments behind three main themes explaining the surge in CPU demand. The first is that agentic AI workloads rely more heavily on CPU cores.
That shift is expected to require a three- to fivefold increase in CPU core counts per user and per GPU. Servers with standalone CPUs will need more chips, which is the kind of problem chip sellers enjoy having.
UBS said that demand for agentic AI will push some workloads to local PCs. It pointed to Anthropic’s Claude Code as an example.
The need for higher core counts and power efficiency should tilt demand first towards Arm and then AMD. That sounds grim for anyone still selling yesterday’s watt-guzzling boxes as tomorrow’s AI answer.
Chipzilla could still serve this market through its Coral Rapids platform, according to UBS. The catch is that benefiting from a bigger market and winning the best bits of it are not quite the same trick.
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The Hot Take: Apple to me is starting to look better and better I hate to say it.
It wouldn't be Google if it did not somehow try to hobble its Tensor-class chips. And, this unfortunate trend appears all set to continue with the upcoming Tensor G6 SoC, which is quite likely to sport a GPU that launched all the way back in 2021! A new leak indicates that the Google Tensor G6 chip will sport the PowerVR CXT-48-1536 GPU that debuted in 2021 As our readers would be well aware, we had ripped into Google a few months back for using generations-old ARM CPU cores within the Tensor G5 chip. Thankfully, as per recent leaks, Google has […]Read full article at https://wccftech.com/google-tensor-g6-chip-likely-to-launch-with-an-ancient-gpu-that-debuted-around-5-years-back/
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