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I assume its still x86-64? What actually makes it an AI platform? Some tight integration of an intel ARC GPU, similar to the Apple M series processors? They claim 2-5x performance for soem AI workloads. But aren't they still limited by memory? The same limitation as always in consumer hardware? I don't think it matters much if you're limited by a nvidia gpu with ~max 16gb or some new intel processor with similar memo…
I assume its still x86-64? What actually makes it an AI platform? Some tight integration of an intel ARC GPU, similar to the Apple M series processors? They claim 2-5x performance for soem AI workloads. But aren't they still limited by memory? The same limitation as always in consumer hardware? I don't think it matters much if you're limited by a nvidia gpu with ~max 16gb or some new intel processor with similar memo…
These processors have NPU (Neural Processing Unit) which is supposed to accelerate some small local neural networks. Nvidia RTX GPUs have much more powerful NPUs, so it's more about laptops without discrete GPU.
I assume its still x86-64? What actually makes it an AI platform? Some tight integration of an intel ARC GPU, similar to the Apple M series processors? They claim 2-5x performance for soem AI workloads. But aren't they still limited by memory? The same limitation as always in consumer hardware? I don't think it matters much if you're limited by a nvidia gpu with ~max 16gb or some new intel processor with similar memo…
These processors have NPU (Neural Processing Unit) which is supposed to accelerate some small local neural networks. Nvidia RTX GPUs have much more powerful NPUs, so it's more about laptops without discrete GPU.
Earlier quoted context omitted.
These processors have NPU (Neural Processing Unit) which is supposed to accelerate some small local neural networks. Nvidia RTX GPUs have much more powerful NPUs, so it's more about laptops without discrete GPU.
But like.....what for example. As a normal windows PC user, what kind of software can I run that will benefit from that NPU at all?
Jokes aside: they really seem to do some things like live captions and translations. Pretty sure you could also do these things on the iGPU or CPU at a higher power draw.
https://blogs.windows.com/windows-insider/2024/12/18/releasi...
The list of claims and what was tested in the comparison can be found here https://edc.intel.com/content/www/us/en/products/performance...
> Today at CES, Intel unveiled Intel Core Ultra Series 3 processors, the first AI PC platform built on Intel 18A process technology that was designed and manufactured in the United States. Powering over 200 designs from leading, global partners, Series 3 will be the most broadly adopted and globally available AI PC platform Intel has ever delivered. What in the world is this disaster of an opening paragraph? From the…
It’s not really meant for consumer. Who would even visit newsroom.intel.com?
Any speculation on what the equivalent TSMC node is for Intel 18A?
Logic Density (may be inaccurate, also it's not the only metric for performance ): Raipidus 2nm ≈ TSMC N2 > TSMC N3B > TSMC N3E/P > Intel 18A ≈ Samaung 3GAP
But 18A/20A already has PowerVia, while TSMC will implement Backside Power Delivery in A16 (next generation of N2)
> Today at CES, Intel unveiled Intel Core Ultra Series 3 processors, the first AI PC platform built on Intel 18A process technology that was designed and manufactured in the United States. Powering over 200 designs from leading, global partners, Series 3 will be the most broadly adopted and globally available AI PC platform Intel has ever delivered. What in the world is this disaster of an opening paragraph? From the…
Intel marketing isn’t the best but I am struggling to understand what issue you’re taking with this. It’s an AI PC platform. It can do AI. It has an NPU and integrated GPU. That’s pretty straightforward. Competitors include Apple silicon and AMD Ryzen AI. They’re predicting it’ll sell well, and they have a huge distribution network with a large number of partner products launching. Basically they’re saying every lapt…
silicon taken up that couldve been used for a few more compute units on the GPU, which is often faster at inference anyway and way more useful/flexible/programmable/documented.