https://en.wikipedia.org/wiki/Project_Denver
The ARM core performance hasn't been spectacular vs the latest and greatest from Samsung and Apple but combined with CUDA and tensor cores it can provide pretty incredible results considering the cost, form factor, and power consumption. Carmel is also at least two years old at this point...
Their project Denver announcement from 2011 discusses plans for server and HPC applications:
https://blogs.nvidia.com/blog/2011/01/05/project-denver-proc...
They're capable of pretty great performance in the right contexts, and the industry definitely needs more consumer-accessible HPC-focused ARM competition what with Apple leading the charge on "everything to ARM". Microsoft has also shown interest, with the SPX, but we need processors more capable than what Qualcomm is producing; I'm hopeful Nvidia can help fill that gap in the next five years.
I'd expand this further to say Nvidia has an enthusiastic, highly-charismatic CEO who literally has groupies (e.g., when you see him at conferences.) For a big-time CEO, he is also surprisingly nice and approachable -- I've now interacted with him on three separate occasions. It makes me like him, his company, what he does.
I realize that is touchy-feely but I wonder how common this sentiment is.
Never met him, but seems very impressive and approachable - how many CEOs would give a talk to students sitting on the steps of a university entrance? [1]
Just to add though that having groupies is not necessarily a positive for investors!
Definitely a well intentioned gesture but as always in SV corporate world, just becomes weirder by the minute :)
He gives me creepy vibes. But every CEO does that, so I’m not sure it’s a bad thing. At least I actually liked him.
Dr Lisa Su is a product CEO as well. She had a much tougher time with AMD's debt and lack of resources, but still manage to pull things off. And small Fun Fact. Jensen and Dr Lisa Su are actually family relatives.
Source: I know people who work there.
I agree, I've seen many companies cut perks and yet not save any money, they just reduce morale.
reducing perks is also a danger sign that a company is in a death spiral. If the company is to the point where it's worrying about $200 a week in fruit across N thousands employees then that can be indicative of other internal problems
Many companies reduced pay by 10%-20% or stopped 401k match or even pay raise when C suite still made profits from recent stock moves.
If the lunchroom is like the orphanage in Oliver Twist, and you have 12 inch VGA monitors, well, that's just the way it is.
At another company, if one day you notice that the coffee in the break room is no longer organic, even if it's of good quality, and the string cheese is only restocked twice a day instead of three times, that's a bad sign. Somebody is trying to save money. That may not mean the company is in trouble but it's a sign something isn't as good as it once was.
and/or that money is tight and things are likely to get worse
What makes you think they are better prepared for this than, say, Qualcomm... or even Intel?
Despite Apple's decision to switch to ARM, I'm still not convinced it's the right architecture for the servers of the future. It more likely indicates Apple's convergence to a single platform, away from the classic desktop.
If anything AWS' Graviton2s are competitive on multithreaded workloads and it looks like the Neoverse cores are only going to improve there.
However, being able to provide decent ML to cars, cell towers, buildings etc at a reasonable price/power budget has the potential for much larger volume albeit at a smaller profit margin. NVIDIA is largely uncontested in ML acceleration so they have a unique selling point in an embedded market that's waiting for big disruption.
EDIT: Downvotes? Really?
Plus if you're looking at the medium-long horizon you have to consider the possibility that the chips will stagnate or die out entirely and you'll be forced to abandon them anyway.
Everybody wants to wait until there have been some people working with the technology at scale and working out he bugs, finding problems, fixing the docs, populating StackExchange, etc... In order to get people to make the leap you need to offer them something significantly better than the current offerings so they'll be willing to do the extra work. If you are offering marginal power efficiency improvements that is not going to cut it.
They evaluated vs Cortex A-53 through rather than Cortex-M.
https://riscv.org/wp-content/uploads/2016/07/Tue1100_Nvidia_...
I was so close to actually upvoting you, and then I had to go and downvote... and by this point you were back in the black, so to speak.
It's baffling to me how smart people like yourself, knowing the HN rules or at least being able to read them, still complain about downvotes. I really don't get it.
AM386 SX was a fully static cpu with a much lower power consumption, way better for laptops that Intel offerings at the time.
https://elinux.org/Jetson_AGX_Xavier
Eight Nvidia ARMv8 cores, 512 Volta cores, 64 tensor cores, and 2 DLAs - all connected to 32 GB of shared RAM.
It was announced over two years ago and the price has fallen to $800. For another $200 you can add a USB-C to DP cable (for a second display) and 1TB of NVMe storage.
If I had a $1,000 compute budget it's what I'd get. You'd have a more than functional dual 4K daily driver for dev work, browsing, etc plus the ability to run ML workloads. Oh yeah, and it tops out at less than 50 watts from the wall with all but the heaviest tasks coming in at 25-50% of that.
One has to wonder if at some point Nvidia will produce a PCIe carrier board or something for souped up Jetson modules or some variant. I have no idea how the connectivity (PCIe device?) would work out but it's definitely within the realm of possibility.
As a matter of fact I have yet to see a single Intel Acquisition in its history that has created synergy or additional value.
They'll move into shadier tactics like subscriptions to unlock cores/overclocking, etc.
Despite what cloud providers and NVIDIA want you to believe, no you most likely don't need a lot of compute power for your industry problem. Basic knowledge of statistics would help though.
In inferencing a lot more models are deployed on GPUs than before and this trend is likely to continue. NVIDIA is alone there.
That is why it is taking a decade to train your models. If you upgraded to a GPU, you could train them much faster :)
No, not the whole time, just these last couple of years :)
I am still waiting for Nvidia to make their play in CPU Market. May be a move in ARM Server CPU space. They have AI/ML with GPGPU, High performance networking with Mellanox. Surely the next logical step should be HPC CPU? Or at least reselling ARM's N1 blueprint solution.
Nvidia has a Forward Earning Ratio of about 41. Which seems reasonable ( Comparatively Speaking in today's market ).
Meanwhile Intel has limited upside. On the Client Computing Side Around 7% of revenue will vanished due to Apple switching to their own Silicon. And for the first time ever they have real competition in Notebook market ( AMD was never really in the Notebook market segment in its entire history ). In DataCenter they will be facing threats from Zen 3 and ARM. And I am very skeptical of their GPU moves. The market is still expanding so there is the possibility for them to sustain their revenue, I just dont see how they could grow its current record revenue in the next few years.
[1] https://news.ycombinator.com/item?id=23772245