The bubble burst is going to be devastating for these smaller companies caught up in the frenzy. I'm staying invested in companies like Alphabet that are taking part in the race but offer more than just AI hopium.
Nokia today is the combination of the network businesses of Nokia, Siemens, Alcatel and Lucent.
They have substantial operations in North America. T-Mobile uses primarily their hardware. Nokia still operates Bell Labs which came originally from AT&T via Lucent.
As the other global options for network hardware are Ericsson, Samsung and Huawei, Nokia is the closest to a “Made in USA” solution. Its HQ is in Finland but at least it’s a NATO country now.
So they’re more important to US infrastructure than might appear at first glance.
A large number of telecom companies have Alcatel routers like the 7750 . My personal thought was that the control plane OS was likely based on Plan9, though I never had access to any source code to verify that.
What do you imply with "atleast its a nato country"? Its not like finland have ever been anti-west, if this was your point. Nato alone does not imply pro-west (the US/trump leadership being the prime example)
Quietly supplying telecom equipment all this time, it really isn't the Nokia most know. Crazy that Nokia is still even a thing. Who noticed that logo had even changed (two years ago in 2023).
That growing narrative regarding all these AI-centric companies "funding each other" is beginning to look a lot like Attrition.org's (former) sexchart..
The stock of NVIDIA can buy the 230 smallest S&P 500 companies. Which are still quite big companies. I recently learned this fact and I think it is pretty wild.
Its' getting more crazy by the day. Today NVidia added >300B USD in market cap. That's enough more than the valuation of Intel for example. Or more than Toyota. That 1B USD investement was money well spent !
In year 2000, Nokia had a market cap of around $100 billion and Nvidia had a market cap of around $2 to 4 billion.
Nvidia just made graphics cards, at a time when games were still being written for MS-DOS. Nobody was to imagine the real money to be made from repurposing these graphics cards for crypto and now this AI 'application'.
It's the name given to an initiative by telco vendors like Nokia and Ericson to explore using NVIDIA GPUs to supply the core compute needs of next generation Radio Access Networks (RAN).
The radio access network (RAN) is all the RF part of a mobile network: towers, base stations, the signals between our phones and the towers, phone-to-satellite comms (non-terrestrial network or NTN).
AI-RAN uses AI/ML for adaptive behaviors and optimizations in all these links.
For example, fine-grained RF and modulation details, called the channel state information (CSI), is constantly being exchanged between a phone and a base station. The volume of information creates transmission latencies. Using autoencoder models, this information can be semantically compressed to reduce its volume and decoded with high fidelity on the other side.
That's just one example. In the upcoming 6G, RAN will be "AI-native", using AI/ML everywhere. The standards may require AI accelerator chips in most base stations, NTN satellites, phones, and other elements.
AI-RAN is the strategic play here because it's unknown (outside of research lab NDAs ?) what potential real-time physical AI/ML implementation will have on the future of edge processing like organizing the low-layer 6G spectrum contention mechanisms. It's a near certainty that custom AI accelerators are a part of every radio base station in the near future so this is not cash investment but a new product line Joint Venture similar to the Intel story.
Given 5g patent mostly h, usa has missed the boat. Somehow has to find its way back or be dominated. Not necessarily can build an empire or even a duopoly… but at least stay in the game like Intel. Understandable from usa point of view.
Nvidia seems to be operating more like a sovereign wealth fund than a traditional business. They have a very-in-demand product, that is not likely to last forever, and is getting their fingers in as many pies as possible with the money and influence while they have it.
I can’t wait to raise my kids for their mandatory, AI-designated space labor career at NvidiaGoogleZon Corp after they buy the last remaining business and all of North America while I rent out my excess wetware compute in my sleep through my state-sponsored brain implant to pay for credits for my nutrient slop printer.
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[ 3.1 ms ] story [ 56.7 ms ] thread[1] https://www.youtube.com/watch?v=h3JfOxx6Hh4
It's like "if your going to sell chips to China, you have to spend some of the money funding non-Chinese tech".
Nokia's capabilities to deliver 5G networks is a direct competitor to Huawei, right?
Is Nvidia functionally an strategic hedge fund of the US Government? Would this fall under Jeffrey Sach's realm?
Interesting. Trump and the Finnish President meet a few weeks ago and explicitly discussed Nokia: https://www.youtube.com/watch?v=1XmnKjx3LYw
Let's see if this investment leads to the final elimination of an EU tech company. Why does Finland permit this?
They have substantial operations in North America. T-Mobile uses primarily their hardware. Nokia still operates Bell Labs which came originally from AT&T via Lucent.
As the other global options for network hardware are Ericsson, Samsung and Huawei, Nokia is the closest to a “Made in USA” solution. Its HQ is in Finland but at least it’s a NATO country now.
So they’re more important to US infrastructure than might appear at first glance.
That's an amazing trove of IP!
Also, why is Nokia closer to the US than Ericsson?
They also plan to provide AI services in the Edge, that's why Nvidia invested.
AI on IoT devices?
Nvidia just made graphics cards, at a time when games were still being written for MS-DOS. Nobody was to imagine the real money to be made from repurposing these graphics cards for crypto and now this AI 'application'.
It's a potential 6G architecture.
AI-RAN uses AI/ML for adaptive behaviors and optimizations in all these links.
For example, fine-grained RF and modulation details, called the channel state information (CSI), is constantly being exchanged between a phone and a base station. The volume of information creates transmission latencies. Using autoencoder models, this information can be semantically compressed to reduce its volume and decoded with high fidelity on the other side.
That's just one example. In the upcoming 6G, RAN will be "AI-native", using AI/ML everywhere. The standards may require AI accelerator chips in most base stations, NTN satellites, phones, and other elements.