Friday, October 6th 2023
OpenAI Could Make Custom Chips to Power Next-Generation AI Models
OpenAI, the company behind ChatGPT and the GPT-4 large language model, is reportedly exploring the possibility of creating custom silicon to power its next-generation AI models. According to Reuters, Insider sources have even alluded to the firm evaluating potential acquisitions of chip design firms. While a final decision is yet to be cemented, conversations from as early as last year highlighted OpenAI's struggle with the growing scarcity and escalating costs of AI chips, with NVIDIA being its primary supplier. The CEO of OpenAI, Sam Altman, has been rather vocal about the shortage of GPUs, a sector predominantly monopolized by NVIDIA, which holds control over an astounding 80% of the global market for AI-optimized chips.
Back in 2020, OpenAI banked on a colossal supercomputer crafted by Microsoft, a significant investor in OpenAI, which harnesses the power of 10,000 NVIDIA GPUs. This setup is instrumental in driving the operations of ChatGPT, which, as per Bernstein's analyst Stacy Rasgon, comes with its own hefty price tag. Each interaction with ChatGPT is estimated to cost around 4 cents. Drawing a comparative scale with Google search, if ChatGPT queries ever burgeoned to a mere tenth of Google's search volume, the initial GPU investment would skyrocket to an overwhelming $48.1 billion, with a recurring annual expenditure of approximately $16 billion for sustained operations. For an invitation to comment, OpenAI declined to provide any statements. The potential entry into the world of custom silicon signals a strategic move towards greater self-reliance and cost optimization so further development of AI can be sustained.
Source:
Reuters
Back in 2020, OpenAI banked on a colossal supercomputer crafted by Microsoft, a significant investor in OpenAI, which harnesses the power of 10,000 NVIDIA GPUs. This setup is instrumental in driving the operations of ChatGPT, which, as per Bernstein's analyst Stacy Rasgon, comes with its own hefty price tag. Each interaction with ChatGPT is estimated to cost around 4 cents. Drawing a comparative scale with Google search, if ChatGPT queries ever burgeoned to a mere tenth of Google's search volume, the initial GPU investment would skyrocket to an overwhelming $48.1 billion, with a recurring annual expenditure of approximately $16 billion for sustained operations. For an invitation to comment, OpenAI declined to provide any statements. The potential entry into the world of custom silicon signals a strategic move towards greater self-reliance and cost optimization so further development of AI can be sustained.
41 Comments on OpenAI Could Make Custom Chips to Power Next-Generation AI Models
techcrunch.com/2022/11/16/microsoft-and-nvidia-team-up-to-build-new-azure-hosted-ai-supercomputer/?guccounter=1
In fact, people will complain about pretty much everything, whether it's a diamond ring, roll of toilet paper, eggs, gasoline (petrol), vintage French champagne, sack of fertilizer, 80" OLED television, whatever.
We live in a free market economy. Nvidia (and other chipmakers) can charge what the market will bear. In this sense, Nvidia is no different than that bee farmer charging (insert price) for a jar of organic honey.
Hell, a lot of people who saw the first Model A roll out of Henry Ford's factory said, "Too expensive, I'll stick with my horse and wagon."
Even if the government dictates the price of something, there will be a grey or black market that is closer to a free market system. People will find a way to make a buck whether it's spices, liquor, pharmaceuticals, cigarettes, ASICs, whatever.
Ask any economist whether or not the Western world is basically a free market economy. The short answer will always be a "Yes, but..." reply. There are more things in the "Yes" portion than what follows after "but..."
Anyhow, there's a finite number of silicon wafers. Chip manufacturers will allocate more wafers to high margin products because they can. In the context of this particular thread, this is definitely a free market. Nvidia could quit the machine learning market and just make really cheap GPUs for gaming. But they don't.
And as an indirect shareholder of all of the major chip designers (AMD, Intel, Nvidia, Apple, Qualcomm, etc.) I am glad that they behave like it is a free market economy. My retirement plan depends on them doing so.
And if you are an American with a retirement plan, undoubtedly you will benefit from this as well at some point.
The US government certainly isn't telling Nvidia how much to price their AI accelerators.
Right now it's basically this:
AI customer: "How much is this?"
Nvidia: "How much you got?"
AI customer: "I don't like your attitude."
Nvidia: "We have competitors. Ask them about pricing and availability."
AI customer: "But your stuff is better. And you have a better dev platform. And our staff is already familiar with your products."
Nvidia: "Don't worry, we'll sell what we have to someone."
It's important to note that Apple makes their own machine learning silicon (the Neural Engine in their marketing speak), but for their own use. They have already done what the original post basically describes since about 2017. And they probably started working on in earnest back in 2010.
There are no Nvidia Tensor cores in my iPhone, iPad, and Mac. Apple is not affected by the market's demand for Nvidia's AI products.
Silicon Valley was built by people who left larger companies to start their own thing, hoping to do better than the status quo. There's nothing new about OpenAI's thoughts. Google, Meta, Amazon, they all have teams working on custom silicon designs.
"Robots building robots, now that's just stupid"
Can't wait for OpenAI's custom chips to allow advertisers to stuff my face with food ads at an unprecedented 2 nanoseconds after I realize I'm hungry. Verily I say unto you we have entered the next golden age of technology :banghead:
America has bailed out both the big car manufacturer's and big banks. America is a mixed market but really it's the poster child for corporate socialism. The government is always there for big business, meanwhile everyone else has to foot the bill. Companies that constantly exploit the "free market" to jack up prices precisely when people are struggling the most, meanwhile stealing tax dollars from those people's pockets while lowering their own tax bill to as little as possible. This is not always true, there has to be demand for said product outside conditions set by the government. For example, if the government sets prices on non-controlled drugs it's unlikely that a black market will form given that it's the governments controls that are making those more affordable. There are also instances where the risk factor or additional cost overhead of black market goods doesn't make sense. The profit has to be there in order for people to take the risk is selling something illegally. The short answer is nearly every 1st world country is a mixed market. There's no real world example of a free market, doesn't exist because it would quickly kill itself. A free market must operate independent of any government regulation but companies inherently rely on the government to protect it's IP and trademarks in order to operate and they rely on the government to ensure reasonable market conditions. In addition a free market requires that none of the participants wield influence over the market itself, which is almost never the case. A Free Market is not something that could exist in real life because it's an idea that ignores reality. Inherently not a free market due to government regulations, tax breaks, public money, protection of IP, ect. In addition, certain chip vendors wield significant influence over the market (Nvidia, Intel) and have used that influence in the past to leverage their own market positions while hindering competition. CUDA in particular but any of Nvidia's proprietary technologies inhibit new competitors from entering the GPU market and competing on free market values. On top of that Nvidia and AMD hold a ton of patents that cripple even the possiblity of designing a GPU without getting sued out of existence. Ditto goes for Intel and AMD's x86 CPU patents.
Out of all the markets you could have chosen to call a free market, you probably picked the least free. From memory, CPUs, to GPUs these related markets have all had frequent issues with anti-competitive practices, entrenchment, and pricing issues.
But like always they'll find these get-rich-quick schemes evaporate some year and imperil their stock's consistency and I sincerely hope that they turn around and find gamers have left them both behind this time, too, because a viable alternative finally arrived.
That said CNBS did a piece on all the AI compute consumers starting their own AI chip projects. MSFT and OpenAI are jined at the hip so they're in it together. Amazon and Google are doing it as well. AMD is releasing their accelerators in Q4. And of course Tesla who saw this coming years ago wasn't mentioned by CNBS (no surprise) and are already ramping their AI chip Dojo up. Nvidia best enjoy their captive market while it can.
that is unbelievably expensive.
i can understand they want their very own asic to run the mature model for the plebs that does things a bit more efficiently.
i doubt an O365 account would cover the cost of its doing windows search.
Other than that, I agree. People like to complain. But sometimes, there is a valid reason behind the complaints.
They want their own AI chip because they SEE that Elon's Dojo is providing the same performance as a 10K gpu cluster at 1/6th the cost and 1/4 the footprint.
People must think AI is free or something. There are huge costs for this level of compute and that's not even mentioning that the whole industry is compute constrained.
What is actually happening is NVIDIA is telling these companies "we can't get capacity but if you're willing to buy some of Apple's allocation at TSMC for <stupid price>, we'll happily make those GPUs for you" and these companies are going "HOLY SHIT THAT'S EXPENSIVE" and NVIDIA is going "yeah, now you see our problem". Then these companies shit out press releases subtly threatening NVIDIA, who's sitting back going "why are we getting blamed when Apple is the one taking all the capacity"?
I'm more and more surprised every day that NVIDIA is still making consumer GPUs. Switch all your production to server GPUs, let the consumer market sit it out a few generations, it's not like we won't be waiting a couple of generations down the line. Especially given how AMD is barely competitive and Intel isn't in any way shape or form. You mean the Dojo that also uses 10,000 NVIDIA GPUs?
chipsandcheese.com/2022/09/01/hot-chips-34-teslas-dojo-microarchitecture/