Windows ARM laptops

xiaofan

High Supremacy Member
Joined
Sep 16, 2018
Messages
35,613
Reaction score
11,978
I think RTX Spark replaces the N1X/N1 code name and not the same as DGX Spark already, even though they are related.

DGX Spark, AI Workstation, not that really to the consumer market, runs Linux. US$4699 for 128GB/4TB version.
Edit: now got Windows on ARM version
https://marketplace.nvidia.com/en-us/enterprise/personal-ai-supercomputers/dgx-spark/

RTX Spark, consumer or business, runs Windows, initially more for laptops. But later it can be for AI Workstation desktop and mini PC, business/consumer laptop/Desktop.

Initially the price may well be on the high side, say from US$2000 to US$5000 (top end model with 20 core CPU, 128GB RAM, 4TB SSD), more for business and AI enthusiasts.

Later the lower end models may come down to US$1000 to US$2000 market segment say in 2027.
 
Last edited:

stanlawj

Arch-Supremacy Member
Joined
Jul 11, 2021
Messages
10,003
Reaction score
5,395
I'm not the only one who thinks RTX Spark laptops are going to be crazy expensive.

 

stanlawj

Arch-Supremacy Member
Joined
Jul 11, 2021
Messages
10,003
Reaction score
5,395
- 15" Mini-LED touchscreen display
- Up to 2000nits of peak HDR brightness
- Large haptic touchpad
- Nvidia RTX Spark (20-core ARM CPU)
- Blackwell GPU (6144 CUDA Cores)
- Up to 128GB unified memory
- 1 petaflop of AI compute
- HDMI, 3x USB-C, 1x USB-A
- SD card slot | 3.5mm Jack
 

stanlawj

Arch-Supremacy Member
Joined
Jul 11, 2021
Messages
10,003
Reaction score
5,395
Will be DOA.
Too much power consumption especially to run AI agents.
 

stanlawj

Arch-Supremacy Member
Joined
Jul 11, 2021
Messages
10,003
Reaction score
5,395
https://wccftech.com/rtx-spark-vs-m5-in-clang-54-percent-faster/

RTX Spark Gives Decent First Impression Of Its Performance In Developer Workloads Benchmark, Beats M5 By 54%, Marginally Slower Than Base M5 Pro​

RTX-Spark-vs-various-chipsets-in-code-compilation-speeds.jpg



https://chipsandcheese.com/p/analyzing-nvidia-gb10s-gpu

Analyzing Nvidia GB10's GPU​

https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F106a5a2c-42f2-403b-9585-77cf2145d1eb_1192x653.png


FP64 is critical for scientific computing. Looks like regular Nvidia RTX gaming GPU is just better.
RTX Spark GB10 will only be suitable for lower precision AI inference workloads.
 
Last edited:

stanlawj

Arch-Supremacy Member
Joined
Jul 11, 2021
Messages
10,003
Reaction score
5,395
Nvidia's Blackwell GB10 is built on TSMC 5nm process node. Runs too hot.
The next gen GPU will be a big jump to TSMC 3nm node. I will wait for RTX Spark Gen2 for it use TSMC 3nm node, estimated 2028 latest. In the meantime, Apple M5 Max is still much more useful.
 

xiaofan

High Supremacy Member
Joined
Sep 16, 2018
Messages
35,613
Reaction score
11,978
Some more info from Microsoft Build 2026, other than Surface Ultra laptop.

New Windows on ARM64 machines
1) DGX Station (Desktop) -- mostly for Enterprise, AI workstation
2) RTX Spark -- laptops, mini PCs and desktops, for business and individuals

https://blogs.windows.com/windowsde...dows-as-the-trusted-platform-for-development/
  • Introducing Surface RTX Spark Dev Box – purpose-built for developers powered by NVIDIA RTX Spark silicon, delivering up to 1 petaflop of AI compute paired with 128 GB of unified memory shared across the CPU and GPU. Comes with all of the above developer optimized Windows 11 experience so developers can build, test and run AI and agent workloads locally without setup friction or unpredictable cloud costs.
  • Introducing DGX Station for Windows — the world’s most powerful deskside AI supercomputer for developing and running agents on Windows — powered by the NVIDIA GB300 Grace Blackwell Ultra Superchip. It is purpose-built to develop and run up to 1 trillion-parameter frontier AI models locally, as well as connect always-on, frontier AI agents to enterprise applications and workflows, coming in Q4 this year.
 

xiaofan

High Supremacy Member
Joined
Sep 16, 2018
Messages
35,613
Reaction score
11,978
I am actually pretty happy with my Acer Aspire 14 AI laptop (2025 model, at S$1000 plus a bit) with Qualcomm X1 26100 CPU, 32GB RAM and 1TB SSD.

I find that I use this one much more often than MacBook Neo.

Take note my use cases at home are more like a software testers even though I cannot really code, as I am quite involved in some cross platform open source projects. I do not play games or editing photos/videos, rather I am mostly using apps like Chrome, Windows Terminal, Visual Studio, Notepad++, WSL, MSYS2, Python, CMake, etc.

There are some issues but not a big problem.
1) Oracle VirtualBox does not really work as of now. I have to use another Acer Swift Go 14 laptop 2024 model (dual boot Windows 11 and Ubuntu 26.04) to use VirtualBox and a few Linux/BSD VMs. I also have a few lower end mini PCs to run Linux and BSDs.

2) Some devices got no Windows ARM64 drivers. Luckily not a big problem for me.
 
Last edited:

xiaofan

High Supremacy Member
Joined
Sep 16, 2018
Messages
35,613
Reaction score
11,978
I set S$1500 as the budget for laptops and mini PCs (eg: Mac Mini). So I guess I will not really look at RTX Spark laptops or mini PCs any time soon.

One potential interesting thing is whether MediaTek will ship the ARM CPUs in the RTX Spark without the nice Nvidia GPUs, for low cost Windows ARM64 laptops, to compete with Qualcomm Snapdragon C series and Intel Wildcat Lake CPUs for lower end laptop market.
 

xiaofan

High Supremacy Member
Joined
Sep 16, 2018
Messages
35,613
Reaction score
11,978
what's the use case for an average joe at home? unlikely no rite?

Indeed, initial launch will be more for enterprise, or tech enthusiasts who want to run local AI workloads.

But later there should be lower cost versions for average users with a 12 core CPU, 16GB/32GB RAM (up to 64GB), targeting consumer market

https://www.guru3d.com/story/mediatek-confirms-cheaper-nvidia-rtx-spark-chips-with-twelve-cores/

MediaTek has confirmed that Nvidia’s RTX Spark platform will include cheaper processor variants, expanding the lineup beyond the previously detailed high-end configuration. The confirmation was given at Computex, where the company stated that multiple SKUs are planned, including a physically smaller chip with up to twelve CPU cores. The twelve-core version is expected to use eight Cortex-X925 performance cores and four Cortex-A725 efficiency cores. Compared with the twenty-core model, this reduces both the CPU configuration and the expected platform power range. The listed specifications point to 2560 CUDA cores, 16GB to 64GB of LPDDR5X memory, and a TDP range of 18W to 45W.
 

WoShiPro

Supremacy Member
Joined
May 6, 2008
Messages
5,589
Reaction score
223

Asus Zenbook A14 Laptop Snapdragon X2 Elite or Lenovo IdeaPad Slim 5x gen 11​


I'm planning to a get lightweight future proof laptop to replace my current 8 years old Asus laptop. Chatgpt recommend the above 2 models.

How is the build quality for the lenovo brand? My experience with Lenovo Thinkpad for office isn't very gd. Very laggy. I saw review on past Lenovo IdeaPad track pad/screen issues after a few years.

I can't find Asus model online in SG yet. I plan to purchase the laptop offline as I want to use atome to split the purchase to earn the maximum miles purchasing online/making full payment will burst my cc rewards limit.

It been years since I last purchase electronic from retail store. Does store offer discount or freebies for purchasing?

Edited: chatgpt ai hallucination. The Asus version is way over my budget at over 3.5k. I will wait for the x2 plus version if any else I will get the lenovo version.
 
Last edited:

stanlawj

Arch-Supremacy Member
Joined
Jul 11, 2021
Messages
10,003
Reaction score
5,395
RTX Spark benchmark: Microsoft Surface Ultra

https://videocardz.com/newz/surface...atches-14-core-apple-m3-max-in-cinebench-2026

The result is almost identical to the 14-core Apple M3 Max, which scores around 5,722 points in the same benchmark. NVIDIA’s chip is ~1% faster in the multi-thread test but ~4% slower than the M3 Max single-thread score.
The 16-core M3 Max remains 14% faster in multi-thread performance with single-thread lead about 4%.

The full NVIDIA N1X configuration combines ten Cortex-X925 cores with ten Cortex-A725 cores. It also includes a Blackwell GPU with 48 Streaming Multiprocessors and 6,144 CUDA cores.

Microsoft has confirmed that the Surface Laptop Ultra will support up to 128GB of unified memory. The system also features a 15-inch mini-LED display and an upgraded cooling system designed for sustained workloads. NVIDIA says RTX Spark laptops are scheduled to become available in fall 2026.

Source: VideoCardz.com
https://videocardz.com/newz/surface...atches-14-core-apple-m3-max-in-cinebench-2026
 

stanlawj

Arch-Supremacy Member
Joined
Jul 11, 2021
Messages
10,003
Reaction score
5,395
I'm using M5 Max as desktop replacement.
Triple monitors: 5K, 4K, 4K+ all 60 Hz.
Macbook power consumption during casual web browsing as measured by AlDente is 10W - 15W with occasional peaks at 26W, fans not on.

Useful to benchmark against Windows ARM laptop.
I think the only Windows ARM laptop that makes sense to me is RTX Spark laptops with 128GB RAM to do things that the Mac can't do well: Local AI and Nvidia gaming.
For 2-in-1, Wintel is still unbeatable for driver stability and application support.
 
Last edited:
Important Forum Advisory Note
This forum is moderated by volunteer moderators who will react only to members' feedback on posts. Moderators are not employees or representatives of HWZ Forums. Forum members and moderators are responsible for their own posts. Please refer to our Community Guidelines and Standards and Terms and Conditions for more information.
Top