Asus ProArt P16 RTX Spark review verdict: So expensive, but pretty awesome

[Redaktion]

The Asus ProArt P16 2026 combines the new Nvidia RTX Spark N1X with an exceptionally slim and light 16-inch chassis, an excellent tandem OLED panel, and outstanding speakers.

https://www.notebookcheck.net/Asus-ProArt-P16-RTX-Spark-review-verdict-So-expensive-but-pretty-awesome.1428207.0.html

[manameisjeff-gj9oh]

You sure? For comparison:
AI bang for buck performance alternative
For more AI bang for buck performance and upgradable parts, get a consumer desktop PC 96 to 128 GB RAM (a consumer desktop PC uses 128-bit memory interface (aka dual-channel) and the RAM's MT/s is typically between 5600-6200 MT/s, which equals to ~96 GB/s (vs Spark's ~300 GB/s), but the GPU(s) will make up for it (see calculation below) (32 GB VRAM at 1792 GB/s, when running 2 5070 Ti (each at 896 GB/s) in tensor parallel) + 1 GPU (at lest like a 5070 Ti (16 GB VRAM at 896 GB/s, it will have much faster prompt processing and you will have 128+16 GB of total memory) (a 5080 24 GB VRAM is rumored to be released in 2027 Q1)) or may get a motherboard that supports bifurcation (geizhals.eu/?cat=mainboards&xf=2833_AMD+AM5~2873_ab+2&pagesize=30&promode=true) and get 2 GPUs of the same GPU architecture and run them in tensor parallel mode, which will double the VRAM memory in size and speed (reddit.com/r/LocalLLaMa/search/?q=tensor parallel).

Let's calculate an AI score (memory size times memory speed):
N1X Spark:

• 38528 = 128 GB unified memory * 301 GB/s.

Desktop PC build using two 5070 Ti and running them in tensor parallel:

• 69632 = 128 GB * 96 GB/s + 32 GB VRAM * 1792 GB/s.
• 66560 = 96 GB * 96 GB/s + 32 GB VRAM * 1792 GB/s.

The suggested desktop PC build will be cheaper (2000ram128gb+2*1250gpus+400 mobo+300cpu+300psu or less if you already have some of the required parts), have more memory and have a much faster GPU, not only for AI, but also for higher FPS in games.