Some other relevant discussions and sources … NVIDIA and Microsoft Reinvent Windows PCs for the Age of Personal AI https://news.ycombinator.com/item?id=48352705 NVIDIA DGX Station for Windows Puts a Trillion-Parameter AI Supercomputer on Every Enterprise Desk https://news.ycombinator.com/item?id=48352691 Introducing Surface Laptop Ultra: Made for world makers https://news.ycombinator.com/item?id=48352627 Introducing…
Nvidia RTX Spark
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Re: Nvidia RTX Spark
#32Is this finally Macbook Chip Efficiency coming to Windows or will it just be shittier compatibility for slightly better battery life?
All I care about is if I can get one of these for significantly less than a dgx and get Linux on it for some cuda Blackwell kerneling.
Re: Nvidia RTX Spark
#33Re: Nvidia RTX Spark
#34Re: Nvidia RTX Spark
#35competitor is already on the market and is x86: AMD AI 395+ bechmarks with DGX arnt spectacular for NVIDIAs software and CUDA lead. wouldnt count on this being a price/compute challenger. especially with overpriced VRAM.
Also I heard the tensor core instructions on the dgx are gimped and you’re better off with a rtx pro x000. Is that the same with these machines?
Re: Nvidia RTX Spark
#36Re: Nvidia RTX Spark
#37I really like this, but I think the reason Apple Silicon took off was that Apple sort of forced devs to support ARM. Not sure if Microsoft can do the same for Windows…
Re: Nvidia RTX Spark
#38Earlier quoted context omitted.
Or like a m4 max? This thing has All those CUDA cores in the sparks but they're starved for memory bandwidth. I am still waiting for NVidia to release a system that legit beats 3090 maxxing for the home gamer...
Spark: OS: Windows/Ubuntu Mbw: 300GB/s Cuda cores: 6000 GPU accelerated containers: yes M5 max: OS: macOS Mbw: 600GB/s Cuda cores: 0 GPU accelerated containers: no
The sparks are good if your ultimate plan is to spend even more on NVidia hardware in future to run your dev setups at usable speeds. Or, you're developing for a work cluster.
If you mainly want to run local models at acceptable speeds portably, buy a mac with lots of RAM. If you’re happy with non-portable / racked, buy 3090s (dense) or mac studios (MoEs). Buy newer cards if you are restricted on power or slots. If you are rich, buy a6000 blackwells.
Re: Nvidia RTX Spark
#39Re: Nvidia RTX Spark
#40Earlier quoted context omitted.
That's what they're working on, in theory, with Windows K2.
I would never trust Microsoft. Their next drama is revoking Office 2019 perpetual licenses https://www.youtube.com/watch?v=KRnno9VIZx0 . It never ends with them because they know they have you by the balls.