Good battery life is probably the biggest upside, but the Intel Core Ultra Series 3 Zephyrus G16 is just about as good (more on that alternative later).
The downsides are numerous:
- Middling GPU performance compared to discrete RTX mobile GPUs. You’re barely trading blows with an 5070Ti with the top end Spark chip. And yes, Nvidia markets RTX Spark for gaming, so we need to judge them in that context, too. Windows on ARM isn’t amazing for gaming for various reasons including lack of anti-cheat compatibility.
- Compatibility and/or performance issues on Windows ARM. You’re running a lot of stuff non-native
- As you mentioned, the CPU cores are nothing to write home about with very mid single core performance.
- Suffers greatly from “why am I not buying a MacBook Pro?” syndrome
- Poor/no Linux support, in a world where when Linux and Mac get the most attention for AI workflows.
I think there may be a case for being a good performance value for AI training, but for local inference I’m not seeing how that makes sense. Heck, for local inference I think it’s better to run a workstation as a server and then use the laptop as a client. You benefit from a better hardware value as well as putting less of the strain on the laptop, saving battery life. The fact that it’s plugged in means you can run long-running jobs and scheduled tasks, which is often the strength of local AI. The cost of one of these RTX Spark laptops will get you a dual R9700 inference workstation if you’re smart about the build.
You’ve also got projects like Strata that are going to define trends for how people run local AI. Why bother with $6000 integrated graphics machines or trying to squeeze quality models into one or two expensive 24-32GB GPUs when you can get 60 tok/s on Qwen 3.8 Flash Next on a 16GB RX 9060XT ($500) with 64GB of DDR4 RAM?
Want to do local inference on a laptop? Grab a Zephyrus G16, get the 64GB/RTX 5080 spec, run Strata, then as a bonus you can run AAA games at full blast. This costs less than $5000.
Waiting ~1 year for the M7 Pro chip on MacBook Pro models is another option that is almost certainly a better idea if the rumors about that chip are true.
I’m struggling to find a way to find a worse value buying something, anything that isn’t an RTX Spark. For that money there are just so many alternatives.
Even if your game is running natively and your anti-cheat is supported, you’d have gotten better performance on a Zephyrus G14/G16 for less money.
If you want to do local AI a MacBook Pro is either keeping up or going faster (faster memory bandwidth, token output writes faster), with faster single-core CPU performance as a bonus for general purpose snappiness.
In my eyes, the only buyer left is someone who can’t stand a MacBook Pro, or needs Nvidia/CUDA and a lot of VRAM.
To be more generous to the RTX Spark platform, it does seem to be priced head-to-head with Apple. I just think it has an uphill battle.
Well, reading the reviews it's clear these are filling the MacBook Pro gap in windows laptop lineups.
And the answer to "why am I not buying a MacBook Pro?" for many people is because it's a MacBook pro. I've never owned Apple hardware in my life and have no desire to do so now but I do wish there was equivalent quality non Apple hardware (for me that I can run Linux on, but for many people, Windows would be fine). If the price was lower, I'd be in the market for one of these.
So far the only options has been gaming/creator laptops with dedicated GPUs. I currently have an MSI Ge66 and it's a great laptop in many ways but it runs so hot, and the fan is so loud. I'd pay a premium (but not $6000!) to reduce that. Also, the unified memory is a big draw for both Blender and local AI.
Although, the thing is, for the AI tasks advertised, the MacBook Pros have faster memory, so token decode runs faster.
Then by using a Mac you also scuttle the issue of "My platform has a low rate of adoption" that Windows on ARM has had. That issue will get better over time but in the present it's still an issue.
As for the dedicated GPU gaming laptop market, you'd be surprised how it's evolved since the release date of your MSI Ge66. I mentioned the 2026 Zephyrus G16 specifically because it is a laptop with very few compromises, including heat and noise. If you don't specifically need a huge amount of GPU-addressable RAM, and you're just looking for good performance in games and graphics-intensive applications, it is a clearly better buy than these RTX Spark systems. As a bonus, being an X86 system you'll have a much easier getting Linux going on that one.
So, yes, it's good that there is another MacBook Pro alternative, but I think the issue remains that it's unclear who exactly the buyer persona is going to be. I think a lot of people in the venn diagram are going to just go with a MacBook Pro.
This part is more speculation on my part, but if Apple brings out the M7 Pro/Max chips on the rumored 2027 schedule, I think they will really blowpast RTX Spark at a time when it will take Nvidia years to have an equivalent answer.
It will also be curious to see if AMD can catch back up Medusa Halo launching next year. If that is anything close to RTX Spark it will sidestep the Windows on ARM issue entirely and look like a pretty attractive alternative. Hopefully AMD actually gets it put into a wide selection of laptops this time around.
https://www.techpowerup.com/340216/amd-medusa-halo-apu-leak-...
Well, even when I bought the Ge66 I would have loved unified memory for Blender but it's now even more important since the graphics card manufacturers are being so stingy with it and I want to run local models in addition to graphics apps and games.
TBH I think the "separate memory for GPU model" is dead, it's just taking a long time for the industry to catch up. So I'm going to live with my laptop for a few more years until it does.
I think the ones to watch on this area for non-Apple devices is Qualcomm. They just need better iGPUs and Linux support and they'll have genuine Apple M competition.
10 months ago when I got my Spark it was competitive in price with a similarly spec'd out Mac Studio. As RAM prices have gone even more parabolic, so has its price. And so has the Mac's. And the Strix Halo competitors.