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[SemiAccurate] upcoming Nvidia chip has a problem that doesn't have a fix as of now

NVIDIA teases “new era of PC” ahead of N1 and N1X laptop chip announcement​


The company has confirmed that Jensen Huang will speak at the Taipei Music Center on June 1 at 11 AM local time. The timing lines up with earlier reports that NVIDIA may use Computex to reveal its first Windows on Arm PC platform.

https://videocardz.com/newz/nvidia-teases-new-era-of-pc-ahead-of-n1-and-n1x-laptop-chip-announcement

Surface Laptop Ultra: Microsoft and NVIDIA reveal the 128GB RAM, mini‑LED, RTX Spark powerhouse redefining Windows on Arm​

News
By Daniel Rubino published 2 hours ago
Uncompromising raw NVIDIA N1x power meets legendary Surface craft, but can people afford it?


Microsoft is offering up to 128GB of unified memory with full CUDA support. This allows the system to dynamically allocate RAM between the 20-core Arm CPU and the GPU wherever the workload requires it most.

Apple does this, and Qualcomm does this with Snapdragon X2 Elite Extreme, and now NVIDIA does, too.

This architecture enables the device to run massive 120B parameter AI models locally without needing to round-trip to the cloud.

As Davuluri noted during the call, the team is laser-focused on ensuring that the operating system takes full advantage of this massive memory pool for both advanced workloads and multitasking. Microsoft has even enhanced how Windows manages page sizes in shared memory regions to ensure that larger memory pages are available for peak performance on heavier workloads.


Microsoft announced that Riot Games is bringing titles like Valorant and League of Legends to the platform natively. KRAFTON is also joining in, bringing the iconic PUBG: Battlegrounds to the list of compatible titles.

This is possible because Microsoft has finally addressed the technical hurdles that once held Arm gaming back. Native anti-cheat solutions from partners like Epic (Easy Anti-Cheat) and BattlEye are now supported.

Furthermore, it says the improved Prism emulation layer has been specifically tuned for the RTX Spark microarchitecture, ensuring that x86 games that are not yet native still run with high performance. With the Blackwell GPU under the hood, players will have access to AAA titles like Alan Wake 2 and Naraka: Bladepoint with performance levels that rival traditional gaming laptops.

https://www.windowscentral.com/hard...-surface-laptop-ultra-announced-computex-2026
 
nvidia roadmap

https://x.com/VideoCardz/status/2061310652027724217?s=20

HJs_HWkXsAAu29e.jpeg
 

Performance and power management​

To get the most out of Windows on RTX Spark’s powerful, heterogeneous architecture, we implemented workload profile scheduling (WPS) and optimized it for RTX Spark, enabling the Windows scheduler to more efficiently scale workloads across all 20 cores.

We also worked with NVIDIA to enable the Microsoft Power and Thermal Framework (MPTF) on RTX Spark, to maximize performance and power on the go. MPTF standardizes one of the most complex parts of a modern PC and will enable RTX Spark based PCs to deliver industry-leading power efficiency while staying cool under intense workloads.

Unified memory optimizations​

To realize the potential of up to 128GB of unified memory on RTX Spark, we have focused on improving how Windows supports unified memory systems, starting with a new higher, smarter limit on total system memory accessible by the GPU. This updated limit increases the memory available to the GPU on high-memory systems, unlocking the ability to load larger local AI models or render more complex projects.

In addition to increasing the memory available to the GPU, we are also enhancing how Windows manages page sizes in shared memory regions on unified memory systems. These changes ensure that larger memory pages are available for greater performance on heavier workloads, while giving developers the flexibility to optimize for the needs of their memory workloads between CPU and GPU.

Prism emulation enhancements​

Prism has been tuned for the microarchitecture of RTX Spark

Delivering a better platform for agents with Windows on RTX Spark​

NVIDIA is bringing NVIDIA OpenShell to Windows, built on new Windows security and containment primitives. Hermes Agent and OpenClaw will be integrating OpenShell and these new Windows primitives inside of their Windows application.

For creatives, top tools like Blender, DaVinci Resolve, Maxon Cinema4D, Maxon Redshift, Topaz Photo, CapCut, Cubase, Bitwig Studio, Affinity by Canva and more all run natively on Arm today, as do the audio, video, MIDI and control peripherals they require. Adobe’s flagship applications including Photoshop and Premiere are likewise native, and have partnered with NVIDIA and Microsoft on additional optimizations for the RTX Spark. Apps for technical creators are also optimizing for this platform, including MATLAB, one of the most popular, which now officially supports Windows on Arm.

Game developers have also laid a strong foundation for RTX Spark’s arrival. Today, native anti-cheat solutions from partners like Epic’s Easy Anti-Cheat and BattlEye, expanded Prism emulator compatibility, and XBOX PC app support means players will have access to a deep catalog of Windows PC games. RTX Spark will bring even higher levels of gaming performance to AAA titles on Arm. Riot Games, one of the world’s leading game developers and publishers, has announced that League of Legends and VALORANT are coming to the platform. PUBG: Battlegrounds, the iconic battle royale title from KRAFTON, will also be joining the expansive catalog of compatible titles including Pragmata, Alan Wake 2, Naraka: Bladepoint, War Thunder and more.

our partnership with NVIDIA on RTX Spark plans to bring additional exciting technologies like CUDA-accelerated PyTorch, Ilama.cpp, TensorRT, Hugging Face frameworks, Unsloth, Kohya and more.

https://blogs.windows.com/windowsex...-windows-pcs-accelerated-by-nvidia-rtx-spark/
 

NVIDIA CEO Jensen Huang promises new 'RTX Spark' Windows on Arm chips will run every Windows app ever made​

News
By Zac Bowden published 4 hours ago
In an attempt to quell people's concerns around app compatibility with Windows on Arm, NVIDIA's CEO says that its new RTX Spark chips won't have any app compatibility problems.

CEO Jensen Huang was quick to confirm during the NVIDIA Computex 2026 keynote that RTX Spark is compatible with any app or game you might want to run on these powerful devices, though he did not provide technical details around how this is being ensured.

"Every single application that Windows has ever run, meticulously optimized so that this computer literally runs everything the world has ever created" said Huang on stage.

https://www.windowscentral.com/hard...rm-chips-will-run-every-windows-app-ever-made
 
nvidia roadmap
commitment to do 3 generation/5 years of them over is the announcement here,, for both the hardware partners but also the software world that important.

Could be a bit of a fast pace for the competition here, if they use the yearly refresh (a la apple) on the whole stack and not just datacenter.
 
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I'd rather steer clear of this stuff, even if its faster.

I like having standard, x86_64 stuff for compatibility and expansion etc.
Wonder how this will fair on the market.
 

View: https://youtu.be/suhxvEb5l2s

Curious about lower end sku if they make them, the 128GB full version is such a big amount of computer, the market for such workstation in a laptop format must be a bit small, like for full StrixHalo affair.

Local agents change that math for who can use 128gb of ram of course, but like Strix Halo before it get worth it versus renting the cloud at that price point..... need quite the power user (but that does not mind not running it that fast....).
 
How much for 128GB? My guess is most won’t realize the difference making talking points due to cost.
 
How much for 128GB? My guess is most won’t realize the difference making talking points due to cost.
For those top of the line, over $4400..... probably, it is the same SOC than the DGX Spark and the same a lot of memory with a nice monitor.

They can remove the multi-node NVLink, 400gbps connectX Mellanox), those laptop will have regular cheap wifi-7/10 gbps or less ethernet port in comparison, cheaper standard nvme controller versus server class present in the spark, but nice chassis-high resolution monitor to make up fully for it, a windows license has well. Less power, but thinner chassis.

Apple laptop with 128GB of memory are above $5000 it seem right now with the cheapest config for it.
 
For those top of the line, over $4400..... probably, it is the same SOC than the DGX Spark and the same a lot of memory with a nice monitor.

They can remove the multi-node NVLink, 400gbps connectX Mellanox), those laptop will have regular cheap wifi-7/10 gbps or less ethernet port in comparison, cheaper standard nvme controller versus server class present in the spark, but nice chassis-high resolution monitor to make up fully for it, a windows license has well. Less power, but thinner chassis.

Apple laptop with 128GB of memory are above $5000 it seem right now with the cheapest config for it.
Yeah so as MSFT and Nvidia put it : it is “ a new era of PC.” Where no one can afford anything with compute worth anything and have to settle with a less expensive terminal into some one else’s subscription based cloud service. Noice.
 
Yeah so as MSFT and Nvidia put it : it is “ a new era of PC.” Where no one can afford anything with compute worth anything and have to settle with a less expensive terminal into some one else’s subscription based cloud service. Noice.
Models are getting more and more capable at 32GB/64GB has well, the N1X 650 and lowers, but will still be a fortune in the current memory world

https://videocardz.com/newz/nvidia-n1x-650-and-n1x-675-appear-in-lenovo-yoga-pro-7-listings

If you want to talk to your computers that use blender-a cad program-vscode for your project, it can get complicated-expensive via cloud and the computer become quite valuable as a tool has well for the employer/self-employee, it depend on how well it work, so how much more money you can make from the new computer, lot of time is lost from people not good at using tools/programs with computer right now, lot of money to be made.

The Rubin and the following one will be interesting, specially how much groq sram like silicon on hybrid hierarchy will be on them (~500/0 token on serious model locally change the computing experience quite a bit), small enterprise could use those (like they do to run their own openClaw on apple computers), for an entreprise $20,000 for 3 years of local compute is good money but a bit like having a pick-up for the same amount of time, same for self employed accounting/laws/anything and a $6000 computers.

That what people were paying for a PC in the early 90s (doing way less with them) or many for a smarthphone/dataplan if you keep it for 4 years than resale and both were not considered something no one can afford.
 
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