DisEnchantment
Golden Member
Speculate at will
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What I meant is that Krackans MSRP is the same as Hawk Points MSRP when it was new, has nothing to do with what Hawk costs now. It's a 1:1 price tier replacement, nothing more, nothing less.
I hate this NPU stuff so much
Even for gaming, NPUs open up a whole bunch of cool opportunities.
Legal-friendly spelling of KrakenBtw. anybody knows what's the meaning behind "Krackan"? Searching for it outside of AMD makes it looks like little more than a misspelling.
Cheapest Yoga Lenovo presented at MWC (Slim 7) is also STARTING at 999€, with AI 7 350 being the top config. Also Krackan is said to be at least the same size if not bigger than Hawk Point, why would they sell it cheaper?We can't make that assumption off one questionable offering, though if that's going to be the case for all of Kraken then that's a mistake. Kraken was supposed to occupy the new price point for Hawk Point, not the launch price point.
One that M$ attempted with Qualcomm was DLSS-like functionality what could be a fallback option if the GPU is unable to handle this itself, probably it's not suitable if you have physically separate memory pools (like with dGPUs) but devices like Strix Halo, could care less since the frame-buffer sits anyway in unified memory.I’m curious what opportunities you see for NPUs in gaming.
For example you can have properly acting like "real" players of your team in games like eFootball, EA Sports FC.I’m curious what opportunities you see for NPUs in gaming.
uh, no?For example you can have properly acting like "real" players of your team in games like eFootball, EA Sports FC.
there are ~none~.I’m curious what opportunities you see for NPUs in gaming.
Incorrect, unless you mean currently.uh, no?
there are ~none~.
DirectML != D3D. Has nothing to do with vidya.Incorrect, unless you mean currently.
A few articles to get you digging:
Go read the links. Microsoft is investing heavily in this area. I did a bit of reading on this a while ago. Enhanced AI, accelerated level generation, etc. there are many uses that have been named. The software is still very much WIP. If I have time later, I may post more. For now, Zoom call.DirectML != D3D. Has nothing to do with vidya.
NPUs are a tumor.
Maybe something crazy like real AI for the NPC and enemies in a game...I’m curious what opportunities you see for NPUs in gaming.
That's a lot of words to say "it's useless".Go read the links. Microsoft is investing heavily in this area. I did a bit of reading on this a while ago. Enhanced AI, accelerated level generation, etc. there are many uses that have been named. The software is still very much WIP. If I have time later, I may post more. For now, Zoom call.
Go read the links. Microsoft is investing heavily in this area. I did a bit of reading on this a while ago. Enhanced AI, accelerated level generation, etc. there are many uses that have been named. The software is still very much WIP. If I have time later, I may post more. For now, Zoom call.
I’m curious what opportunities you see for NPUs in gaming.
That might be completely true, but I don't see it being useful for me as a normal basic customer in the next few Years. If you work with it and actually know you can use it it is possibly great.You really shouldn’t. Ignore the AI LLM hype. NPUs have legitimate uses and can accelerate many workloads. Saying you hate NPUs is like someone saying they hate FPUs.
Even for gaming, NPUs open up a whole bunch of cool opportunities.
Cheapest Yoga Lenovo presented at MWC (Slim 7) is also STARTING at 999€, with AI 7 350 being the top config.
To compete with Intel dumping product at reduced margin. Strix Point is taking over for Hawk Point/Phoenix at the high end, so Kraken needs to slide in underneath it.Also Krackan is said to be at least the same size if not bigger than Hawk Point, why would they sell it cheaper?
there are ~none~.
I wonder what will be said when PS6 will ship with an NPU and devs will use it "heavily" in next gen games...None right now, but there are obviously hypotheticals. There's a scenario where NPUs make sense to free up GPU resources when games start to incorporate local AI models while *also* wanting to look pretty. Even if the GPU has enough compute to spare, memory capacity is tricky.
Now, whether on the system level it would just make sense to have more a powerful GPU with gobs more memory, or move towards gigantic APUs with shared memory, is an open question. But from the perspective of selling CPUs that "boost your frames" (or free up enough VRAM so that your frames don't tank), then sure.
None right now, but there are obviously hypotheticals. There's a scenario where NPUs make sense to free up GPU resources when games start to incorporate local AI models while *also* wanting to look pretty. Even if the GPU has enough compute to spare, memory capacity is tricky.
Now, whether on the system level it would just make sense to have more a powerful GPU with gobs more memory, or move towards gigantic APUs with shared memory, is an open question. But from the perspective of selling CPUs that "boost your frames" (or free up enough VRAM so that your frames don't tank), then sure.
The big, unanswered question for me with APUs equipped with nontrivial NPUs is about memory bandwidth. Most APUs out there are living in a cost controlled environment that heavily constrains memory bandwidth. Strix Point has a decently beefy iGPU and is saddled with lower spec "dual" channel DDR5. Similar goes for Arrow Lake H. Even Strix Halo with it's 256 but memory interface is still getting saturated with a 40cu iGPU. Where's the extra memory bandwidth going to come from to keep the NPU properly fed? When the NPU gets used for anything but the most trivial tasks, does the frame rate collapse because it's fighting with both the iGPU and the CPU cores for what scraps of bandwidth are available?
This is one area where I see Apple having a slight advantage as they tend to provide a bit more memory bandwidth compared to the capabilities of their processor specs. Performance should fall off a bit more gracefully there as all three subsystems get loaded.