Nvidia N1X officially confirmed to arrive as the RTX Spark

[Redaktion]

Nvidia's first consumer-grade laptop chip, the RTX Spark, is finally here. It is essentially a modified version of the DGX Spark launched last year, but with Windows support.

https://www.notebookcheck.net/Nvidia-N1X-officially-confirmed-to-arrive-as-the-RTX-Spark.1312010.0.html

[sus]

Sorry, the quotes are a reply to:

Nvidia has not shown off any performance metrics of the RTX Spark

[Nv]

Nvidia just killed desktop Snapdragon CPUs. Arm architecture with proper GPU performance and support.

[sus]

Alright, let's make it clear:

Nvidia has not shown off any performance metrics of the RTX Spark

Very sus, isn't it? But no problem, the gaming / AI performance talk for this N1X / NV Spark is here: notebookchat.com/index.php?topic=310661.0.

In short, the memory bandwidth determines everything: The prompt processing (pp) (because that's 3D-performance / FPS-based and that, again, is bandwidth-based) and token generation (tg) speeds:

• AMD Strix Halo: 256 GB/s = 256-bit * 8000 MT/s / 8 / 1000.
• NVIDIA Spark (GB10 chip): 273 GB/s = 256-bit * 8533 MT/s / 8 / 1000.

(en.wikipedia.org/wiki/Blackwell_(microarchitecture)#Blackwell_dies)

3dmark.com/search - Steel Nomad:

• AMD Strix Halo' Radeon 8060S iGPU: 256 GB/s: "Average score: 2031".
• NVIDIA RTX 4060 (notebook): 224 - 256 GB/s: "Average score: 2262".
• NVIDIA RTX Spark: 6.6% faster than Strix Halo, so.., but let's wait for official, or better, independent benchmarks. The 3 nm TSMC node + 6,144 CUDA cores might show, to a certain degree, that this Spark is faster than what 273 GB/s would suggest. Let's say it's 15-30% faster than that, that's 5060 Laptop ("Average score: 2632") to 5070 Laptop ("Average score: 3005") performance, not bad and it aligns with performance rumors.

If it's 5070 Laptop performance, then it's weird that NV wouldn't talk about it, because that's pretty good. Of course, price determines Spark's success. For proper AI performance, building a simple desktop PC may still give the most AI performance bang for buck.

Nvidia just killed desktop Snapdragon CPUs. Arm architecture with proper GPU performance and support.

IDK, several posts in a span of almost 24h apart in reddit/r/hardware have 0 upvotes, as also the comments suggest.

The Snapdragon X Elite / X2 Elite are 128-bit wide memory bus APUs, while the Spark is a 256-bit wide one, totally different animals and price-points.

[davidm]

This is not a "mac studio killer" since its memory speed is a fraction. It will be interesting if they supports eGPUs. Without an eGPU, its processing for key LLM functions will be a fraction of a dedicated GPU. With an eGPU, it would be a truly interesting local AI solution.

[Picard facepalm]

If it's 5070 Laptop performance, then it's weird that NV wouldn't talk about it, because that's pretty good.

...

"The company also told the site that RTX Spark can offer graphics performance close to a GeForce RTX 5070 Laptop GPU depending on the application."

[Picard facepalm]

Spark is faster than what 273 GB/s would suggest. Let's say it's 15-30% faster than that, that's 5060 Laptop ("Average score: 2632") to 5070 Laptop ("Average score: 3005") performance, not bad and it aligns with performance rumors.

Yes. But why are you moving the goalposts now? Thought this was impossible according to your "bandwidth calculations" that spam in every thread. Don't they determine everything you've said only like 25 times already on this site?

People told you multiple times previously. You never listen.