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Or maybe the Dutch company AMSL. Only issue for TSMC right now is their location in Taiwan. What happens when (not if) China invades?If nobody unseats TSMC I don't see it. They might be the most powerful company in the world right now.
And exactly who pays Dell for this 2TB?Not bad, Dell charging $3K CAD for 2TB right now for a "read intensive" one and it basically doubles if I want "mixed-use" so really $5K is almost a deal for that.
Depends on who’s buying really.And exactly who pays Dell for this 2TB?
Or maybe the Dutch company AMSL. Only issue for TSMC right now is their location in Taiwan. What happens when (not if) China invades?
I can only hope that the long-range planners at TSMC are making plans to move both personnel and equipment to another country. US or Canada? Or somewhere in Europe not too close to Russia.
How to say you don't understand enterprise tech/architecture w/o saying it.Sure, but who are your customers??? Lazy corporate buyers?
And that’s where the L40 comes in."If you can’t use the new specialized features, H100 GPU price-performance has actually gotten worse vs A100, unlike all previous generations. Hoping it is just profit taking on nvidia’s part and not the new normal."
~John Carmack, Founder Id Software
https://twitter.com/AdoredTV/status/1692493100894056473?s=20
NVIDIA Q2 FY2024 Financial Results (GAAP) | |||||
Q2 FY2024 | Q1 FY2024 | Q2 FY2023 | Q/Q | Y/Y | |
Revenue | $13.5B | $7.2B | $6.7B | +88% | +101% |
Gross Margin | 70.1% | 64.6% | 43.5% | +5.5ppt | +26.6ppt |
Operating Income | $6.8B | $2.1B | $499M | +218% | +1263% |
Net Income | $6.1B | $2.0B | $656M | +203% | +843% |
EPS | $2.48 | $0.82 | $0.26 | +202% | +854% |
In an interesting twist of fate, NVIDIA has flipped from being a graphics company to a compute company so quickly that their revenues are now imbalanced in the other direction. 77% of revenue is compute & networking; only 23% comes from graphics
https://twitter.com/RyanSmithAT/status/1694475294021984697?s=20
NVIDIA Reports Q2 FY2024 Earnings: $13B Revenue Blows Past Records On Absurd Data Center Demand
In the span of just a year, NVIDIA has gone from earning $6 billion a quarter in revenue to keeping $6 billion in revenue as profits
https://www.anandtech.com/show/2002...ows-past-records-on-absurd-data-center-demand
this is a quarter for the record books, as NVIDIA has set new records for everything from revenue to net income.
NVIDIA Q2 FY2024 Financial Results (GAAP) Q2 FY2024 Q1 FY2024 Q2 FY2023 Q/Q Y/YRevenue $13.5B $7.2B $6.7B +88% +101%Gross Margin 70.1% 64.6% 43.5% +5.5ppt +26.6pptOperating Income $6.8B $2.1B $499M +218% +1263%Net Income $6.1B $2.0B $656M +203% +843%EPS $2.48 $0.82 $0.26 +202% +854%
Driven by their highly profitable, high-margin data center products, NVIDIA achieved a GAAP gross margin of 70.1% for the quarter. Coupled with their record revenue, this has resulted in NVIDIA booking a blistering $6.1B in net income, an 843% improvement over Q2’22, and even more than trebling their net income versus just the previous quarter.
The company, handily beating their already very bullish $11B revenue projection for Q2, is projecting a further 18%+ jump in revenue for Q3, to $16B in revenue. Which, if NVIDIA’s projections pan out, would afford a 71.5% GAAP gross margin.
NVIDIA Market Platform Results, Q2 FY2024 (GAAP) | |||||
Q2 FY2024 | Q1 FY2024 | Q2 FY2023 | Q/Q | Y/Y | |
Data Center | $10,323M | $4,284M | $3,806M | +141% | +171% |
Gaming | $2,486M | $2,240M | $2,042M | +11% | +21% |
Professional Visualization | $379M | $295M | $496M | +28% | -24% |
Automotive | $253M | $296M | $220M | -15% | +15% |
OEM & IP | $66M | $77M | $140M | -14% | -53% |
They were rumours yesterday that they would beat the absurdly high record expectation (apparently gaming card a la 4060 are selling really well in Asia) but by that much ! Data center alone almost did the $11B they were talking about.
$16 billions in Q3.... that would be %270 of the last Q3 of 5.9B.....
MLID claims that even the gaming GPUs of Nvidia are being grabbed up by China (for AI purposes) before Biden/USA wise up to it !!!the gaming space is so small compared to that enterprise space, a lot of people in this forum make me chuckle when they think nvidia will go down due to bad card sales or when they release terrible overpriced cards (everything other than 4090 has been junk lately)
I cannot help but laugh at stock analysts that interpret Nvidia against most other companies where they think that Nvidia is due for a correction and their P/E is so high blah blah blah. Nvidia is just getting started and companies are beating down Nvidia's door and throwing money at them for AI accelerators. When Jensen sets his mind to do something he goes all out.
Assuming it was $1/share back then (maybe less) it would be more like 700k++Way way back in the late 90s I had just graduated high school and my dad asked me, "If I gave you $1500 to invest what would you put it in to?". I replied with, "I don't know; Nvidia I guess. But I don't want your money dad." That would be worth $350,000+ now.
I'm not thinking Nvidias stock price is a matter of business fundamentals, the analysts might be, which might explain the articles prior to Q2 earnings where some thought Nvidia was going to tank in stock price becuse their P/E ratio is so high. I am saying "no", they will grow into their P/E ratio until they get some serious competition from other companies producing AI hardware.You are thinking like stock price is really a matter of business fundamentals. These days it's mostly about predicting where the money will flock to and flee from, and that seldom has much to do with solid business fundamentals. Infinite price run up requires infinite suckers, finite suckers with infinite money, or helicopter money from the feds. Hell, it could just be that they know that, and are very concerned about being the bag holders on other tech stocks, so they are just spreading some fud to try to stem the bleeding of something else they are holding.
However, it honestly wouldn't take much to cause a correction, even just a healthier overall market would likely do that. But in addition to that nvidia's revenue at this point is basically just an indicator of their ability to get sufficient HBM supplies. Nvidia can be doing everything right, and rationally their price should be heavily based on the health and decisions of their HBM suppliers unless they pivot to a new bottleneck. Their order queue is insanely deep at this point, and that's a risk, because the math for a competitor isn't is brand X better than nvidia, it's is brand X better than nothing. Then there's the secondary risk in that queue depth, which is how many companies can wait out the queue having nothing and still be able to pay when their slot comes due given current market conditions, interest rates, etc. I mean look at very high end off the shelf networking hardware circa 1999-2005 ish. That stuff was a money press because internet and data centers. And then all the really big names just started rolling their own because the cost and margins and optimizations. Literally every large customer of nvidia for machine learning has joined up in various consortiums to design their own chips and optimizer core software for not just nvidia, that's ignoring the blood in the water for competition that a 10,000% margin will cause. Anything that cuases their growth to be checked will have serious money taking a payday even if they come right back in at a lower price.
It can depend on how the dividend were handled over time, but $1500 of Nvidia bought in january 1999 could be around 1.7 million now, a quarter back than was like 40 millions in revenues. I think the stock splitted 4 time since, you would have 12 of them for every one you bought in 99.Assuming it was $1/share back then (maybe less) it would be more like 700k++
It is bothYou are thinking like stock price is really a matter of business fundamentals. These days it's mostly about predicting where the money will flock to and flee from, and that seldom has much to do with solid business fundamentals.
The GPU-Rich
Access to compute is a bimodal distribution. There are a handful of firms with 20k+ A/H100 GPUs, and individual researchers can access 100s or 1,000s of GPUs for pet projects. The chief among these are researchers at OpenAI, Google, Anthropic, Inflection, X, and Meta, who will have the highest ratios of compute resources to researchers. A few of the firms above as well as multiple Chinese firms will 100k+ by the end of next year, although we are unsure of the ratio of researchers in China, only the GPU volumes.
One of the funniest trends we see in the Bay area is with top ML researchers bragging about how many GPUs they have or will have access to soon. In fact, this has become so pervasive over the last ~4 months that it’s become a measuring contest that is directly influencing where top researchers decide to go. Meta, who will have the 2nd most number of H100 GPUs in the world, is actively using it as a recruiting tactic.
The key here is everyone from Meta to Microsoft to startups are simply serving as a pipeline of capital to Nvidia’s bank account.
They post this like using the latest and greatest of hardware hasn't been a major recruiting tactic for every R&D facility for the past 200 years.Oh I just posted this in the Finance thread in Genmay lol:
https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini
They post this like using the latest and greatest of hardware hasn't been a major recruiting tactic for every R&D facility for the past 200 years.
In my early days, it was Sun Ultra SPARC clusters and electron microscopes... The more things change the more they stay the same.Yeah, but this time it's Nvidia
I think where he get wrong is about how well H100 old their value right now, for a while can probably resale them at a better price on the used market than new
Would it not be the bank job to sell them ?A company with no existing history, business dealings, infrastructure, employees or logistical chains is now going to offload 2.3 BILLION in inventory, which also happens to the collateral for the loan used to buy those chips....yes lets see how they manage to do that.
This is raw hardware margin on sale I think, does not include amortized R&D/software cost that went into them before sale either.Would this number include long term hardware and software support? If not, that would make the profit far less than 1000%.
Come with is a strong word, depending on what you are doing with them you get into their various licenses after that for specific support, and woof, those are not small numbers.This is raw hardware margin on sale I think, does not include amortized R&D/software cost that went into them before sale either.
H100 Gpus come with an 5 years enterprise support.
This was my first thought if we include everything, including paid support, access to their cloud service, etc... margin could end up higher than basic provided customer service cost.what you are doing with them you get into their various licenses after that for specific support
Like I pay about $800 per server GPU per year extra for my Grid licenses.This was my first thought if we include everything, including paid support, access to their cloud service, etc... margin could end up higher than basic provided customer service cost.
Microsoft to Debut AI Chip Next Month That Could Cut Nvidia GPU Costs
Microsoft next month plans to unveil the company’s first chip designed for artificial intelligence at its annual developers’ conference, according to a person with direct knowledge. The move, a culmination of years of work, could help Microsoft lessen its reliance on Nvidia-designed AI chips, which have been in short supply as demand for them has boomed.
The Microsoft chip, similar to Nvidia GPUs, is designed for data center servers that train and run large language models, the software behind conversational AI features such as OpenAI’s ChatGPT. Microsoft’s data center servers currently use Nvidia GPUs to power cutting-edge LLMs for cloud customers, including OpenAI and Intuit, as well as for AI features in Microsoft’s productivity ...
https://www.theinformation.com/arti...ip-next-month-that-could-cut-nvidia-gpu-costs
A report from Reuters details OpenAI's plans to solve the hardware gridlock the AI industry faces.Microsoft could replace Nvidia's GPUs with custom designed hardware, in its data center servers currently powering cutting-edge LLMs for cloud customers, including OpenAI and Intuit, as well as for AI features in Microsoft’s productivity etc.
Except the gaming GPUs are lacking further FP64, ECC, more than 24GB VRAM, etc.The gaming gpus are just as capable as the enterprise ones