Earlier quoted context omitted.
SuperSpark and then UltraSpark. And then we can get SparkCube, Sparkii, and SparkiiU.
I'm personally waiting for the OpenSpark.
Nvidia RTX Spark
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Re: Nvidia RTX Spark
#172Earlier quoted context omitted.
What about the desktop version? It seemed like it is not a dgx since it has the CPUs cores done by mediatek
desktop is GB300, not GB10 like Spark
GB300 is nominally "available" in desktop form factor workstations priced around $100k. That's a few orders of magnitude away from the ordinary desktop PC market that consumers participate in.
Re: Nvidia RTX Spark
#173What is this product anyway? Is it a general purpose CPU or is it specifically designed for MS Windows? Nvidia stepping back from the open source? "Introducing the NVIDIA RTX Spark™ Superchip. The fusion of NVIDIA AI and RTX graphics in a single chip redefines Windows PCs and delivers amazing creating, AI development, and gaming—on the slimmest, most beautiful RTX laptops ever and small, ultra-efficient desktops."
It’s nivdia attempting to compete with Apple’s M-series
All the news articles in my feed mentioned Nvidia reinventing personal computing which is laughable given the specs are worse than the m series. I’m guessing they saw how well Apple devices were selling and rushed to get something similar out so they can ride the hype train and have something to fall back on if ai DC spend slows down.
Re: Nvidia RTX Spark
#174Re: Nvidia RTX Spark
#175I didn't see this in the article but elsewhere I've seen the memory bandwidth quoted as 600GB/s [1]. For comparison: - 5090/6000 Pro: 1792GB/s - 5080:: 960GB/s - 5070Ti: 892GB/s - M3 Ultra: 819GB/s - DGX Spark: 273GB/s (less than an M5 Pro at 307GB/s) Memory bandwidth isn't everything but it will cap inference rate pretty heavily. Also, the M3 Ultra is for an almost 2 year old Mac Studio. It's widely expected that it…
Yeah and also the quoted 1 PF is only for sparse models (only half that for dense, if that), and the DGX had serious hardware issues: https://x.com/ID_AA_Carmack/status/1982831774850748825
Re: Nvidia RTX Spark
#176ARM64+GPU sure seems like the future. I'm still using my M1 and even that can handle models well, has decent graphics, M5 is a beast, and M6 must surely go even bigger on LLM compute. Now Microsoft has a compelling ARM64+GPU future too.
What does AMD or Intel have here?
Re: Nvidia RTX Spark
#177Re: Nvidia RTX Spark
#178I think this is the first time an ARM windows device gets marketed for gaming. Would be interesting to see what kind of performance hit games have on the x86 to ARM translation layer.
Apple Silicon has a special mode that modified how the ARM chip handles memory transactions to be like x86. Does this nvidia ARM have the same?
What would be interesting to me would be how quickly developers start targeting ARM64 directly.
Re: Nvidia RTX Spark
#179Question is: "Can it run Doom?"
Re: Nvidia RTX Spark
#180"Unified Memory" still means divided address space right? You have to pre-allocate system vs gpu and copy from one to the other?