Nvidia definitely isn’t Enron. It’s all of Nvidia’s customers that are mini-Enrons.
Enron crashed because they were cooking their books and faking income, declaring potential profit where none existed.
That’s not Nvidia. Nvidia is selling actual product as fast as they can make it at whatever price they want to charge.
Nvidia’s customers, on the other hand, are the ones who have to justify buying billions of dollars of product from Nvidia and explaining how they plan to make a profit from that.
Nvidia sells plenty of GPUs for actual money, they are good for it.
No, the real issue is the depreciation for the people owning GPUs. Your GPU will be usable for 4-6 years, and 2-4 of those years will be spent as ”the cheap old GPU. After that time, you need new GPUs. (And as the models are larger by then, you need moahr GPU)
How the actual fuck do these people expect to get any ROI on that scale with those timeframes? With training, maybe the trained model can be an asset (lol), but for inference there are basically no residual benefits.
Calculate the total power cost of running it at 100% load since 2014
Calculate Flops/Watt and compare with modern hardware
Calculate MTTF when running at 100% load. Remember that commercial support agreements are 4-5 years for a GPU, and if it dies after that, it stays dead.
In AI, consider the full failure domain (1 broken GPU = 7+ GPUs out of commission) for the above calculation.
You’ll probably end up with 4-6 years as the usable lifetime of your billion dollar investment. This entire industry is insane. (GTX 1080 here. Was considering an upgrade until the RAM prices hit.)
That’s Michael Burrys thesis. Higher depreciation for GPU owners is a positive for Nvidia because they end up buying more GPUs.
I’m highlighting the the future revenue of those customers that Nvidia has booked in terms of equity. That is equivalent to Enron. Here the SPVs are named companies like OpenAI and other model developers.
Nvidia definitely isn’t Enron. It’s all of Nvidia’s customers that are mini-Enrons.
Enron crashed because they were cooking their books and faking income, declaring potential profit where none existed.
That’s not Nvidia. Nvidia is selling actual product as fast as they can make it at whatever price they want to charge.
Nvidia’s customers, on the other hand, are the ones who have to justify buying billions of dollars of product from Nvidia and explaining how they plan to make a profit from that.
Sell chips to X
Receive stock in X
Value of stocks = discounted sum of future (fake) income
Booked as an asset on the balance sheet
This is exactly like Enron but the underlying commodity isn’t energy, it’s compute.
Nvidia sells plenty of GPUs for actual money, they are good for it.
No, the real issue is the depreciation for the people owning GPUs. Your GPU will be usable for 4-6 years, and 2-4 of those years will be spent as ”the cheap old GPU. After that time, you need new GPUs. (And as the models are larger by then, you need moahr GPU)
How the actual fuck do these people expect to get any ROI on that scale with those timeframes? With training, maybe the trained model can be an asset (lol), but for inference there are basically no residual benefits.
I’m still rocking a GTX970 from 2014
Do this:
You’ll probably end up with 4-6 years as the usable lifetime of your billion dollar investment. This entire industry is insane. (GTX 1080 here. Was considering an upgrade until the RAM prices hit.)
That’s Michael Burrys thesis. Higher depreciation for GPU owners is a positive for Nvidia because they end up buying more GPUs.
I’m highlighting the the future revenue of those customers that Nvidia has booked in terms of equity. That is equivalent to Enron. Here the SPVs are named companies like OpenAI and other model developers.
enron sold plenty of gas and real things too: it’s the double handling that’s the problem; not the nature of the goods or services
The relative size of the double handling is the potential problem. I think Nvidia is just trying to extend the gold rush for a bit longer.