Apple in China, the rise of iPod

Second post regarding Apple in China: The Capture of the World’s Greatest Company by Patrick McGee. This one is about Apple’s shift from making computers to making handheld devices. (See Apple in China book, Intro if you missed Post #1 about this book.)

… just a month after the launch of iTunes [January 2001], hardware chief Jon Rubinstein—aka Ruby—and procurement head Jeff Williams were in Japan and stopped by Toshiba. The Japanese supplier showed them a new hard drive, just 1.8 inches in diameter, with a massive 5 gigabytes of capacity. Toshiba didn’t really know what to do with it, but to Ruby, the implications were “obvious” immediately: this thing could hold a thousand MP3s! It was the enabling technology they needed. “Jeff,” Ruby quietly said, “we need to get all of these.” Williams negotiated an exclusive supply agreement as Ruby made sure the $10 million check they drew up wouldn’t bounce.

Rubinstein and Fadell would later dispute who the key figure was behind the hit MP3 player, but the truth is that its brilliance had multiple authors, reflecting how each domain in the pyramid structure (ID, PD, MD, and Ops) worked on their specialty simultaneously. Ruby had found Toshiba’s disk drive and realized its potential. Phil Schiller, of marketing, introduced the idea of the scroll wheel—probably the feature most loved by consumers, as it reacted to the velocity of each turn and enabled them to race through hundreds of songs in a matter of seconds. Fadell was the overall architect. He presented to Jobs a prototype made from foam core and stuffed with old fishing weights to give it some heft. Jony Ive’s team made it unapologetically white, with a polished, chrome-like stainless steel back, a remarkably sharp turn from the childlike colors of the iMac. It was an unusually high-end material for a mass-market product, giving it a feel unlike any other handheld device. It was also durable and could dissipate heat more effectively than plastic.

The MP3 player would remain nameless for months, until four people in branding tossed ideas back and forth with Jobs. Vinnie Chieco, a creative director, recalls how the team would write down every permutation and then sort them into three piles: the worst, the ones that suck, and the not horrible. He’d come up with one: Troubadour, named after French poets who went from town to town playing music. This thing, too, was mobile, could travel and play music. The metaphor worked. The name didn’t. Jobs had his own preferred moniker, which Chieco remembers but won’t share. Like MacMan—what Steve wanted to call the iMac—his idea wasn’t very good, and Chieco is hesitant to share something now that Jobs can’t defend. The other three people in the room told Jobs they loved his name for the device, perhaps trying to avoid his infamous wrath. But when Jobs asked Chieco for his opinion, the creative director said, “Well, I understand your name is novel, but…” Feeling as if he were putting his head in a guillotine, Chieco told Jobs the reasons he didn’t like it. Meanwhile, he kept thinking in metaphors. He was struck by the all-white design, which looked space-like. Riffing on Jobs’s idea that a Mac computer was the “hub for your digital life,” he considered how in the future, the ultimate hub would be the mother ship. The only way to escape would be in a pod that flies away for temporary adventures, returning to replenish and recharge. He got the idea from 2001: A Space Odyssey, and hey—now it was 2001! It felt serendipitous, like when the Macintosh emerged in the Orwellian year, 1984. He proposed Pod. Jobs didn’t hate it, and over a few meetings it grew on him until it became the obvious name. It just needed one tweak, one letter, and then it was perfect: iPod.

Why did Apple make a phone? It was obvious to everyone that consumers wouldn’t want an iPod once reasonably capable smartphones were ubiquitous. Profits from Apple computers were insignificant compared to profits from the mass market iPod.

Around mid-2005, another project began to gain traction internally. The interfaces team had been toying with multi-touch technology for roughly two years, aided by a start-up Apple had purchased called FingerWorks. Senior engineers from Project Purple knew about it, but the original concept was about rethinking the Mac’s interface. When Steve Jobs first showed Fadell the technology, asking if it might work for a phone, it was far from obvious that the enormous contraption Jobs pointed to was the future of something that would sit on your desk, let alone be shoved in your pocket. “It filled the room,” Fadell recalled. “There was a projector mounted on the ceiling, and it would project the Mac screen onto this surface that was maybe three or four feet square. Then you could touch the Mac screen and move things around and draw on it.”

Meanwhile, the fear that the iPod business would be cannibalized by the phone giants continued to fuel anxiety and innovation. “It was an existential crisis,” a senior engineer says. “[We were saying], ‘You realize what’s gonna happen here is this business we built on iPods is going to go away. We need to build a phone.’ ” Jobs eventually canceled the other phone ideas and declared multi-touch the future. He was adamant there’d be no keyboard, so the phone would be as full screen as possible. Apple’s engineers suddenly had to find suppliers that could build multi-touch displays at scale—something that didn’t exist at the time. There was no way Apple could send the specs to some factory and wait for the parts to be built; instead, it sent teams of engineers to Japan, Korea, Taiwan, and China to find hungry vendors it could work with to co-create the processes. “There were a few truly groundbreaking mass production processes we were involved with, where we really had to go around to find the best people in the entire world—the peak of what humans have developed for some of these technologies,” says a product manager. By early 2006, they had a full-screen prototype enclosed in brushed aluminum. Jobs and Ive “were exceedingly proud of it,” journalist Fred Vogelstein would later recount. “But because neither of them was an expert in the physics of radio waves, they didn’t realize they’d created a beautiful brick. Radio waves don’t travel through metal well.”

(I don’t understand how “cannibalized by the phone giants” made it through the purported editing process of this book. In business, cannibalized refers to a reduction of sales of Product A after the company that makes Product A introduces Product B. In the context of Apple, the iPhone might cannibalize sales from the iPod or a notebook-format Macintosh might cut into sales of desktop Macs rather than take sales away from IBM PCs.)

The iPhone required a lot of new manufacturing techniques, mostly developed by vendors in China and Taiwan, often with significant help from Apple engineers who’d fly over from California.

Another important supplier was TPK, which placed a special coating on the Corning glass, enabling the user’s fingers to transmit electrical signals. The Taiwanese start-up had been founded just a few years earlier by Michael Chiang, an entrepreneur who in the PC era had reportedly made $30 million sourcing monitors and then lost it all on one strategic mistake. In 1997 he began working with resistive touch panels used by point-of-sale registers. When Palm was shipping PDAs that worked with a stylus, Chiang worked on improving the technology to enable finger-based touchscreens, even showing the technology to Nokia. But nobody was interested until 2004, when a glass supplier introduced TPK to Apple. An iPhone engineer calls Chiang “a classic Taiwanese cowboy [who] committed to moving heaven and earth” by turning fields into factories that could build touchscreens. The factory was in Xiamen, a coastal city directly across from Taiwan. “The first iPhones 100 percent would not have shipped without that vendor,” this person says. He recalls Chiang responding to Apple by saying, “ ‘We can totally do that!’—even though [what we were asking was something] nobody in the world had ever done before.” Among the techniques Apple codeveloped with suppliers was a way to pattern, or etch, two sides of a piece of glass to do the touch sensor, at a time when film lithography processes were being done on only one side. Another pioneering technique is called rigid-to-rigid lamination, a process for bonding two materials using heat and pressure, which Apple applied to tape a stack of LCD displays to touch sensors and cover elements to create one material. The process was performed in a clean-room environment with custom robotics.

Instead of selecting components off the shelf, Apple was designing custom parts, crafting the manufacturing behind them, and orchestrating their assembly into enormously complex systems at such scale and flexibility that it could respond to fluctuating customer demand with precision. Just half a decade earlier, these sorts of feats were not possible in China. The main thing that had changed, remarkably, was Apple’s presence itself. So many of its engineers were going into the factories to train workers that the suppliers were developing new forms of practical know-how. “All the tech competence China has now is not the product of Chinese tech leadership drawing in Apple,” O’Marah says. “It’s the product of Apple going in there and building the tech competence.”

We might owe most of our current toys to Apple’s 2010 agreement with TSMC, motivated by a desire to reduce its dependence on Samsung:

In 2010, Apple operations chief Jeff Williams reached out to Morris Chang through his wife, Sophie Chang, a relative of Terry Gou. Dinner between them launched months of “intense” negotiations, according to Chang, as Williams pressed TSMC on prices and convinced the Taiwanese group to make a major investment. “The risk was very substantial,” Williams recalled at a gathering for TSMC’s thirtieth anniversary in 2017. “If we were to bet heavily on TSMC, there would be no backup plan. You cannot double-plan the kind of volumes that we do. We want leading-edge technology, but we want it at established technology… volumes.” Williams’s narrative leaves out some of the most interesting facts about the early partnership. One is that Chang wouldn’t commit to Apple’s demands. In a 2025 interview with the podcast Acquired, Chang said that TSMC would’ve had to raise substantial amounts of money, either by selling bonds or issuing more stock. Williams had another idea: “You can eliminate your dividend.” Morris balked at the aggressive suggestion. “If we do what Jeff Williams says, our stock to going to drop like hell,” he recounted. Chang agreed to take only half of Apple’s order. Even this partial commitment forced TSMC to borrow $7 billion, so it could invest $9 billion and devote 6,000 full-time employees working round the clock to bring up a new chips fab in eleven months, according to Williams. “In the end, the execution was flawless,” he said. The partial commitment forced Apple to toggle between Samsung and TSMC, which some in Cupertino saw as a plus—it meant that Apple wasn’t beholden to just one supplier for what serves as the brain within the iPhone. But Srouji’s team found it nightmarish to manage both suppliers. So Apple turned to TSMC on an exclusive basis, establishing over-the-top contract terms to protect itself. A person familiar with the contract characterized it as saying: “We need to make sure that you’re gonna go out of business—if you’re gonna put us at risk of going out of business.” It was a “mutually assured destruction” type of situation, this person says, because if TSMC didn’t perform in any given year, there’d be no iPhone. So the Apple decision was made: “We are going to put all of our eggs in one basket, and then we’re gonna guard the basket.” TSMC’s bet would prove critical for making it the world leader in semiconductor fabrication, with Apple as its

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The long dark winter is finally over

February 2024, regarding a tragedy that began in 2023: Microsoft keyboards back from the dead.

After massive daily injections of healing Paxlovid, the Sculpt keyboard has risen! Amazon now stocks the Incase “Designed by Microsoft” keyboards.

Get yours before the 6,000 percent tariffs kick back in (the case is stamped “Made in China”, almost surely by the same factory that Microsoft used).

The new supplier’s site:

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Learn to Code

I don’t know if Joe Biden is dead or alive right now, but I have fond memories of his 2019 career advice to coal miners:

Suppose that a high school student took Joe Biden’s advice in 2019 but skipped the coal mining phase. He/she/ze/they will graduate from college in 3 months with a CS degree. We randomly selected this person so he/she/ze/they will have median skills as an entry-level computer programmer (“coder”).

Let’s hear from an LLM expert to get some insight into what the demand for a median-skilled programmer is likely to be…

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One year until many of the world’s PCs can be taken over by a 10-year-old?

As the righteous in Tim Walz’s Minnesota, California, and Maskachusetts observe Indigenous Peoples’ Day and deplore the time when a hated Jew inflicted a Nakba on the entirely peaceful Native Americans, let’s look at the 21st century way to conquer a big part of the world.

From Microsoft, back in June:

I think this is because my desktop computer was running a CPU/chipset/motherboard configuration from 2015 that lacks some modern security features, such as a Trusted Platform Module.

I wonder if a lot of people won’t upgrade despite Microsoft’s threats. After all, improvements in computer hardware have slowed to a crawl (see GPU performance improvements since 2015 (and why not just use motherboard graphics?) in which we learn that the 2015 CPU had reasonable performance by 2022 standards. With Microsoft not bothering to continue with security updates and nearly every PC connected to the Internet, will a smart 10-year-old be able to take over a substantial fraction of the world’s computers? This is not an open-source computer program that folks other than Microsoft can debug and patch.

Circling back to Indigenous Peoples’ Day… remember that immigration wasn’t the best thing that ever happened to Native Americans, but Science proves that immigration will be the best thing that has ever happened to Native-Born Americans.

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Why not a simple web site or phone app to determine whether one must evacuate?

An American faced with hazardous weather who wants to know whether to evacuate his/her/zir/their house or apartment must first do a web search to find a site that maps flood or evacuation zones, typically A through E. Then the citizen, documented immigrant, temporary protected status migrant, or undocumented migrant must scour various state and county web sites to try to figure out what the latest evacuation orders are by city, county, or state. Here’s part of a story from our local newspaper:

There are many ways for the above process to go wrong. Why not a phone app that gets GPS data from the phone hardware and operating system and does all of the above work reliably? The server just needs to have a database of evacuation and flood zones and a canonical up to date list of evacuation orders. Why is it a human’s job to do something that can be done much more reliably by a computer?

For Floridians during hurricane season the app could run continuously in the background and send alerts as necessary.

One wrinkle is that people who live in mobile homes are often ordered to evacuate even if they aren’t in a surge-prone zone. The ideal app, therefore, would know about trailer parks and maybe get loaded with a database from Zillow or similar regarding the housing type at a given address.

What about people who aren’t competent users of smartphones? Nearly all of them have an app-capable TV and I think those TVs can and do run software when the TV appears to be off. Some code could be built into TVs to connect to the same server that the phone apps connect to. In the event of an applicable evacuation order, the TV would wake up and display/speak “Time to evacuate!”. This would be a little more complex to set up because TVs don’t include GPS receivers and the street address of the TV might have to be entered.

As an added bonus to this app infrastructure, a resident of the U.S. could register his/her/zir/their address and phone/email with the server. The server could then put the registrants into a geospatially indexed database and query to find those affected by a newly issued alert and then email/text the relevant subscribers: “If you’re at 1141 George Perry Floyd Memorial Boulevard right now, which you said was your home address, your county has issued an evacuation order covering your neighborhood. Click here for more information, including a list of county-run shelters.” No matter how fast the U.S. population grows via open borders the computational capability of server CPUs should grow yet faster and, therefore, it would never be impractical to issue personalized alerts to every resident of the U.S.

With all of the hundreds of billions of dollars spent by the federal government on disaster-related projects over the years, why hasn’t something like this been built by the government? Google, Apple, or Amazon could probably build it pretty easily given that those companies already know our addresses, phone numbers, and email addresses. If the above capabilities were built into Android and iOS that would cover almost everyone. Maybe these big companies wouldn’t want to implement this capability, though, due to fear of liability in case they happen to miss an evacuation order. (Maybe they could be protected from liability as the COVID-19 vaccine manufacturers were?)

Here’s a concrete example from Tampa (wiped out in 1848 and hit badly again in 1921), starting with the “evacuation zone map” for Hillsborough County:

The official evacuation order says “Hillsborough County has issued a mandatory evacuation order for Evacuation Zones A and B…”, but the the legend doesn’t mention “zones”. The legend refers to an “evacuation level” of either A or B:

If we look at a satellite view of the city we can see that a lot of people shouldn’t have to run away:

My favorite steakhouse, Bern’s, is in the center of the city and Zone C. Same deal for Columbia Restaurant in Ybor City. The art museum, on the other hand, is in Zone A. Need to go to the hijab store in Brandon, Florida (suburban Tampa)? That’s not in any evacuation zone (i.e., the hijab inventory should be safe). The Tampa Zoo, on the other hand, seems to be in Zone A, which is not great news for the animals. Busch Gardens is not in any evacuation zone. The big airport? Zone A.

During the Tampa evacuation it seems that some people ran away who didn’t need to and some people stayed despite an order to evacuate because they didn’t know what zone they were in. Once on the road, things got more chaotic with shelters that filled up and traffic jams. Officials were saying “You don’t have to go more than 10 or 20 miles”, but residents didn’t know which shelter was the most sensible destination so some folks might have driven 100+ miles away to a hotel or relative’s house. Ships always have muster stations so that people know where to go in the event that the whistle blows 7 times and then there is a long horn sound. Maybe the app could have a preplanned idea of which shelter people in which blocks of a city should go to first, adjusted for the pet ownership status of the app user (it’s more complex to evacuate with a pet than one might think; only some shelters are pet-friendly and the owner is required to have and bring a crate big enough for the pet and the owner can’t stay with the pet while in the shelter). This could be refined if information is received that a shelter is full and turning people away.

What about after the hurricane arrives? The app/server combo could send an SMS or push notification reminding people to put their phones into low-power mode. The software could then notify people when it was safe to return to their individual neighborhoods (this can be complicated after a hurricane because sometimes bridges to barrier islands are destroyed and/or roads are blocked by trees). Using data from poweroutage.us, the software could include SMS information about whether power was likely to be available at a user’s home (maybe someone would choose to remain with friends or relatives until power was likely back).

Separately, here were our neighbors’ Hurricane Milton preparations as of yesterday, which may or may not meet FEMA standards:

Related:

  • “NY governor slammed for saying black children don’t know what computers are” (BBC). If Democrats don’t think that Black people can use computers and Democrats run the U.S. (which they do right now), why hasn’t the above-described app already been built and released by FEMA?
  • “FEMA Scrambles to Confront Two Storms—and Misinformation” (WSJ): “Instead, federal officials’ efforts to save lives are being complicated by an unusual level of politically charged misinformation, which authorities say risks leading people to disregard evacuation orders…” (the authorities are sure that the problem is that Americans are allowed to speak their minds on Twitter and not that people in a country where IQ is falling might not have the brainpower and diligence to get through the multiple web sites that are required to make an evacuation decision. (If the “authorities” are correct maybe Twitter and Facebook need to be shut down any time that an emergency has been declared? If “misinformation” is killing people and saving lives from COVID-19 justified suspending the First Amendment right to assemble then surely it would make sense to suspend the First Amendment as a hurricane approaches the U.S.)
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Checking on the Snowflake stock price

On April 1, 2021 I began questioning the value of Snowflake (SNOW) stock relative to Oracle (ORCL). I did a follow-up two years ago, How is Snowflake stock doing?:

SNOW is down nearly 30 percent while the S&P 500, thanks to Joe Biden’s careful stewardship of the U.S. economy, is down 10 percent (but actually that 10 percent over 1.5 years is more like 25 percent once inflation is factored in, a stunning loss of wealth for Americans).

In April 2021, SNOW was valued at roughly 30 percent of the value of Oracle (ORCL), the backbone of business data processing. What is the company’s market cap today, as a percentage of Oracle’s market cap? SNOW is worth $54 billion. Oracle is worth $165 billion. So I think the philip.greenspun.com fact checking department must rate my April 2021 claim as #False. SNOW turned out to be a loser for an investor, but not because 30 percent of Oracle’s valuation was absurd.

Let’s try to figure out how an investor who shorted SNOW on April 1, 2021 to buy ORCL would have done. It’s a touch tricky because Oracle has paid investors a dividend of $1.28-$1.60 per year during this period while Snowflake hasn’t paid dividends (the company has been losing money every quarter so where would the funds for a dividend come from?). It seems that Google Finance and Yahoo! Finance have been stripped of features so I can’t figure out how to get a custom-date-range chart out of either. If we look at the five-year chart on Google, though, we can see that Snowflake has gone down from $236 to about $111 (Sept 26 price) while Oracle has more than doubled (in nominal dollars) from $72 to $168. In other words, Oracle stock has kept pace with inflation in the cost of buying a house (house prices up 50 percent and mortgage rates up to the point that a monthly mortgage payment has roughly doubled) while Snowflake stock, um, hasn’t.

Since there is more to corporate life than delivering profits to shareholders, let’s also check in on “Snowflake’s commitment to diversity, equity and inclusion” (from the apparently white male CEO):

“While diversity, equity and inclusion has long been a focus for Snowflake, we are committed to doing more. We have the responsibility to lead, and we will do so. Snowflake, under my personal leadership, will undertake a comprehensive review across our company of all of our diversity, equity and inclusion efforts to help ensure that we are taking appropriate steps. We have a Diversity, Equity and Inclusion council at Snowflake, and I am proud of the work they have done.”

“Diversity, equity and inclusion are not causes — they are important pillars that are central in what we do as a company. This important effort continues, and we will do our part to lead.”

So… Snowflake is a leader in diversity, but was not a great stock to buy if you wanted to preserve your purchasing power.

For completeness, let’s also look at the S&P 500 on the five-year chart:

The S&P 500 has gone up from about 4,000 on April 1, 2021 to 5,750 today. In other words, someone who bought and held the S&P 500 would have experienced an erosion of purchasing power during this period (up in nominal dollars; down in real dollars adjusted for the cost of buying a house). The erosion is more severe when one considers that the S&P 500 investor owes capital gains taxes (24 percent federal plus up to 13.3 percent California state tax) on what are entirely fictitious gains (due solely to inflation).

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What good are the AI coprocessors in the latest desktop CPUs for users who have standard graphics cards?

Intel is supposedly putting an AI coprocessor into its latest Arrow Lake desktop CPUs, but these don’t the 40 trillion operations per second (TOPS) minimum performance to run Windows 11 Copilot+. Why is valuable chip real estate being taken up by this mental midget, relative to a standard graphics card?

“Intel’s Arrow Lake-S won’t be an AI powerhouse — 13 TOPS NPU is only slightly better than Meteor Lake, much less than Lunar Lake” (Tom’s Hardware, July 9, 2024):

Arrow Lake-S will be the first Intel desktop architecture with a neural processing unit (NPU), but it won’t be as fast as people might expect. @Jaykihn on X reports that Arrow Lake-S will include an NPU that is only slightly more powerful than Meteor Lake’s NPU, featuring just 13 TOPS of AI performance.

Having an NPU in a desktop environment is virtually useless; the main job of an NPU is to provide ultra-high AI performance with a low impact on laptop battery life. Desktops can also be used more often than laptops in conjunction with discrete GPUs, which provide substantially more AI performance than the best NPUs from Intel, AMD, or Qualcomm. For instance, Nvidia’s RTX 40 series graphics cards are capable of up to 1,300 TOPS of AI performance.

The bottom-of-the-line Nvidia RTX 4060 has a claimed performance of “242 AI TOPS” and is available on a card for less than 300 Bidies. Is the idea that a lot of desktop machines are sold without a GPU and that Microsoft and others will eventually find a way to “do AI” with however much NPU power is available within the Arrow Lake CPU? (Software that evolved to require less hardware would be a historic first!)

AMD already has a desktop CPU with distinct NPU and GPU sections, the Ryzen 8000G.

AMD Ryzen 8000G Series processors bring together some of the best, cutting-edge AMD technologies into one unique package; high-performance processing power, intense graphics capabilities, and the first neural processing unit (NPU) on a desktop PC processor.

Based on the powerful “Zen 4” architecture, these new processors offer up to eight cores and 16 threads, 24MB of total cache, and AMD Radeon™ 700M Series graphics. Combining all of this into one chip enables new possibilities for customers, in gaming, work, and much more; without the need to purchase a discrete processor and graphics card, customers can keep their budget lower, while enjoying outstanding performance.

“The Ryzen 7 8700G leads the pack …The processor has a combined AI throughput of 39 TOPS, with 16 TOPS from the NPU.” (source) If the 39 TOPS number is correct, it seems unfortunate given the Windows 11 Copilot+ demand for 40 TOPS.

Why not just build more GPU power and let it be used for graphics or AI depending on what programs are running? The big advantage of the NPU seems to be in power efficiency (source), but why does that matter for a desktop computer? Even at California or Maskachusetts electricity rates, the savings converted to dollars can’t be significant.

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Why doesn’t anyone want to buy Intel’s Gaudi AI processors, supposedly cheaper than Nvidia’s H100?

Intel claims to have a faster and more cost-effective AI system than Nvidia’s H100. It is called “Gaudi”. First, does the name make sense? Antoni Gaudí was famous for doing idiosyncratic creative organic designs. The whole point of Gaudí was that he was the only designer of Gaudí-like buildings. Why would you ever name something that will be mass-produced after this individual outlier? Maybe the name comes from the Israelis from whom Intel acquired the product line (an acquisition that should have been an incredible slam-dunk considering that it was done just before coronapanic set in and a few years before the LLM revolution)?

Intel claims that their Gaudi 3-based systems are faster and more efficient per dollar and per watt than Nvidia’s H100. Yet the sales are insignificant (nextplatform):

Intel said last October that it has a $2 billion pipeline for Gaudi accelerator sales, and added in April this year that it expected to do $500 million in sales of Gaudi accelerators in 2024. That’s nothing compared to the $4 billion in GPU sales AMD is expecting this year (which we think is a low-ball number and $5 billion is more likely) or to the $100 billion or more that Nvidia could take down in datacenter compute – just datacenter GPUs, no networking, no DPUs – this year.

Nvidia’s tools are great, no doubt, but if Intel is truly delivering 2x the performance per dollar, shouldn’t that yield a market share of more than 0.5 percent?

Here’s an article from April 2024 (IEEE Spectrum)… “Intel’s Gaudi 3 Goes After Nvidia The company predicts victory over H100 in LLMs”:

One more point of comparison is that Gaudi 3 is made using TSMC’s N5 (sometimes called 5-nanometer) process technology. Intel has basically been a process node behind Nvidia for generations of Gaudi, so it’s been stuck comparing its latest chip to one that was at least one rung higher on the Moore’s Law ladder. With Gaudi 3, that part of the race is narrowing slightly. The new chip uses the same process as H100 and H200.

If the Gaudi chips work as claimed, how is Intel getting beaten so badly in the marketplace? I feel as though I turned around for five minutes and a whole forest of oak trees had been toppled by a wind that nobody remarked on. Intel is now the General Motors circa 2009 of the chip world? Or is the better comparison to a zombie movie where someone returns from a two-week vacation to find that his/her/zir/their home town has been taken over? Speaking of zombies, what happens if zombies take over Taiwan? Humanity will have to make do with existing devices because nobody else can make acceptable chips?

Related:

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Six months with the Apple Vision Pro augmented reality headset

A friend was one of the first to order and receive an Apple Vision Pro headset. He’s had it for about six months. He’s a great programmer and a sophisticated user of technology. I asked him what he’s done with the $3500 device. “I use it to watch streaming movies,” he responded. Does it have a full two hours of battery life? “I don’t know,” he said, “because I always use it plugged in.”

AR is the technology of the future and always will be? Apple claims to be the company that makes everything useful. (They’re bringing us AI next, which is upsetting when you reflect on the fact that the iPhone isn’t smart enough to correctly oriented a picture of an English-language museum sign nor can it fill out an online shopping form with the owner’s name and address, despite having seen hundreds of similar forms that all get filled in with the same info.)

Readers: Have you figured out what to do with one of these?

One possibility: ForeFlight Voyager, a free “playground for aviation enthusiasts” from the flight planning nerds who were acquired by Boeing. It includes real-time traffic. This was purportedly being demoed in the Boeing pavilion at Oshkosh, but I didn’t see anyone with the headset on. The ForeFlight folks were happy to talk about it, but didn’t offer to demonstrate it. I wonder if it is too cumbersome to get a new user into and out of a Vision Pro. Or maybe people throw up as soon as they are in the VR world?

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How were you CrowdStruck yesterday?

I felt sorry for myself on Thursday because Spirit was four hours late FLL to ORD (impressive considering that they had no mechanical or weather problems). On Friday, however, CrowdStrike managed to disable the entire U.S. airline industry. Can we agree that there should be a new word in English: CrowdStruck, meaning a systemic meltdown caused by a diversity, equity, and inclusion-oriented enterprise? From CrowdStrike’s web site:

It seems fair to say that they achieved their goal of “challenging the status quo” (the status quo being servers that had been up and running for years).

Considering that the U.S. Secret Service was apparently more focused on DEI than on keeping Donald Trump alive, the word could be used in the following sentence: “Donald Trump might need a new ear after being CrowdStruck in Pennsylvania.” (Loosely related… I received the photo below from a deeply closeted Trump-supporting academic.)

Readers: Please share your stories about being CrowdStruck in the comments. How did you experience the meltdown of IT services (except for Elon Musk’s X!).

My own CrowdStruck experience was limited to not being able to check in at the Doubletree here in Milwaukee. They couldn’t make keys for any new guests all day and had to send employees up to open doors for any guest who wanted to get into a room. They finally got their systems back by around 9 pm and will spend the weekend catching up.

Speaking of Milwaukee, here are some of the billboards that the righteous paid for on a highway leading into town:

The Third Ward and some other parts of town that we’ve seen so far are quite pleasant. I can understand why some Chicagoans are considering fleeing here (though I can’t understand why or how they’d stay through the winter!).

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