211–220 of 444 posts
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Isn't this more a case of supply and demand? Huge ramp on chip demand by every FAAMG, every dev and their grandmothers for AI with a mostly inelastic supply (foundry constrained and very specialized atoms tech involved). It's not like Intel and AMD don't exist, but if everyone is pushing each other at the door for Nvidia chips..
Amazon, Alphabet, Meta. Who are the F and G, and where is apple?
It seems like it would be "easier" now that the path has been cleared and all they have to do is reach parity.
It s come to the point that people are begging competitors to do something in the space. Who knows, maybe some cheap Chinese asic that can do matrix multiplication ends up eating their lunch. You d think that, at the level of capitalization of tech companies, competition would be cutthroat
Capitalization in itself is meaningless. If you have 50% of NVidia outstanding shares, and you try to sell 10% of that, the capitalization would crater. What really counts is the profit. It is pretty huge now, but not 'that' huge (at least yet).
Your point stands but in both directions: The market cap is not "the value of the company" as in, you can neither buy it or sell it at that price.
What's also pretty interesting that they actually didn't sell more chips this quarter - they ... just pretty much doubled the prices (hence the huge margin). This is what having a monopoly looks like ! This is also why companies that manufacture their cards didn't report any uptick in profits. I'm wondering how this play out in some months ? Do they have any pricing power with respect to NVidia ? Or NVidia could just…
For my sake, what number did you look at to come to this conclusion? I'm not used to reading these quarterly reports.
I've seen a regular stream of reports on HN about people "sort of" getting AI done on laptops and non and lowly GPU machines. Is it unreasonable or far-fetched to imagine that someone figures out how to efficiently get it all done without GPUs and pull the rug out from under Nvidia?
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I remember meeting NVIDIA in the late aughts (2007?) first launching their CUDA efforts. Really the product was a re-branded 780GTX or whatever their high end gaming card was at the time more or less, but they already laid out a clear pathway to today (more or less).
I remember meeting with them in the mid aughts when they were first talking to HPC folks about using their cards for science. I'll never forget what the chief scientist from nVidia said. "What is the color of a NaN? That is, when you render a texture with a nan value, what does it look like? I'll tell: it's nvidia green."
>>> struct.pack('f',math.nan)
b'\x00\x00\xc0\x7f'
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I remember meeting NVIDIA in the late aughts (2007?) first launching their CUDA efforts. Really the product was a re-branded 780GTX or whatever their high end gaming card was at the time more or less, but they already laid out a clear pathway to today (more or less).
I remember meeting with them in the mid aughts when they were first talking to HPC folks about using their cards for science. I'll never forget what the chief scientist from nVidia said. "What is the color of a NaN? That is, when you render a texture with a nan value, what does it look like? I'll tell: it's nvidia green."
Up more than 10% after hours compared to close yesterday. I really thought NVDA had hit its ceiling at $1+ trillion, apparently not. Really does feel like a huge opportunity for Intel to me. They have the fab capacity to pump out at least reasonably competitive GPUs if they can figure out the software side of things. P/E still above 50 even after the AI craze 9x'd eps this quarter. Still hard for me to see that valua…
If they can hold the market and not implode for internal reasons, not sure this has any upper limit?
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> This is what having a monopoly looks like ! As someone who has been in the AI/ML space for over a decade, and even had an AMD/Radeon card for more than half of that, I can't help but feel that this is partially AMD's own fault. For many, many years it seemed to me that AMD just didn't take AI/ML seriously whereas, for all it's faults, NVIDIA seemed to catch on very early that ML presented a tremendous potential mar…
Until very recently, AMD was struggling for survival. Rather than making the big bet on AI, they went for the sure thing by banking on revolutionary CPU tech. I'm sure if they were in a better financial position 5 years ago, they would have gone bigger on AI.
I've seen a regular stream of reports on HN about people "sort of" getting AI done on laptops and non and lowly GPU machines. Is it unreasonable or far-fetched to imagine that someone figures out how to efficiently get it all done without GPUs and pull the rug out from under Nvidia?