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From: Frank Sully12/18/2020 12:18:15 PM
   of 992
 
C3.ai Continues To Soar!

I bought 180 shares of C3.ai (AI) on Monday for $105.79/share. Now it's trading for $134.78/share, up 27.4% in a week. Whoopie! I'm in AI for the long-term.

Quote

AS OF 12/18/2020 12:13PM ET

$134.78 +$17.541 (+14.962%)

Cheers,
Sully

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From: Frank Sully12/18/2020 12:33:18 PM
   of 992
 
Nvidia And Arm: All About Control
Sep. 21, 2020 5:05 AM ET
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41 comments
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About: NVIDIA Corporation (NVDA)



Trading Places Research
Long/Short Equity, Value, long-term horizon, Growth



(4,731 followers)



Summary
There is great enthusiasm for this merger both in the Arm developer community and amongst investors.

But questions persist. Foremost among them is the regulatory issues: can this even happen? There is a long road ahead with regulators.

But also, what does Nvidia get out of this merger that they could not have gotten otherwise, much more cheaply, with less regulatory oversight, and without the opportunity costs? Control.

My best guess is that this deal never happens, and Chinese regulators are the reason.

Questions Answered I had a lot of questions about what the NVIDIA ( NVDA)-Arm means before details were announced, and we have at least preliminary answers now.

  • Can this even happen? The regulatory road here is going to be long and hard and involve the UK, US and China. Given the structure of the deal, I believe Chinese regulators will wind up being the ones to squash it.
  • What does NVIDIA get from the acquisition that they couldn’t have also gotten much more cheaply? Only one thing: control of the CPU roadmap.
  • How will the rest of the tech industry respond? The answer to the last question will make them fearful, and many Arm customers will try and block this deal. Some may look for the exit.
  • Before we dig in, first a very quick Arm primer for those unfamiliar.

    What is Arm? Arm graphic

    Arm is a UK-based company that has been making low power systems-on-a-chip (SOCs) since the first Apple Newton. They do not make their own chips, but rather license the instruction set, core designs, and reference designs to other companies. A partial list of customers includes Apple ( AAPL), Qualcomm ( QCOM), Samsung ( OTC:SSNLF), AMD ( AMD), Amazon ( AMZN), Huawei, ZTE and even Intel ( INTC). NVIDIA uses Arm IP in their Nintendo Switch SoC and a range of other dedicated controllers.

    Arm-based chips power almost every single smartphone, soon every single new Mac, and there is a huge push to get them into the data center, starting with Amazon’s Graviton instances.

    This is an extremely slow revolution where Arm-based chips replace the long-dominant x86 platform.

  • Phase 1: Intel and AMD miss out on a huge opportunity in smartphones, and allow Arm-based chips to dominate. This is water under the bridge.
  • Phase 2: Arm-based chips replace x86 in PCs. This is already happening. Apple will have all Macs running on their own Arm-based silicon within a couple of years. They may announce the first ones on Tuesday.
  • Phase 3: Arm-based chips replace x86 in the data center. Again, this is already happening with Amazon’s Graviton2 instances.
  • Over 20 billion chips a year now ship with Arm IP. The total number out there is 180 billion, and 70% of the world’s population own something with Arm IP in it. SoftBank ( OTCPK:SFTBY) purchased them in 2016 for $32 billion. So that is the very condensed history.

    Details of the Deal Let’s start with what NVIDIA is getting, what they paid, and how they are paying.

  • They are not getting the IoT division. Rumor had been that SoftBank wanted to hold on to this, and they have. This brings up more questions.
  • Arm screenshot. NVIDIA does not get what’s highlighted in red.

  • Most importantly, NVIDIA gets the IP to the instruction sets, core designs and reference designs the smartphone, PC, AI, and data center.
  • They also get the best tech company in the UK, one of the most important in the world, and all their talent.
  • They are paying a reported $40 billion, but that’s not exactly true.

  • Only $2 billion in cash is due at signing, which is mostly a breakup penalty. They had $11 billion in cash and investments at the end of July, offset by $2.4 billion in current liabilities.
  • Another $10 billion is also due at closing, estimated in 18 months. That is likely an optimistic timetable. But in any event, they have $5.6 billion in operational cash flows in the TTM, so they have plenty to pay that.
  • The bulk of the deal will be paid in 44.3 million new NVIDIA shares priced around $485 dollars, valued at $21.5 billion, or 89 times TTM earnings.
  • In addition to the 44.3 million shares, Arm employees will get another 3.1 million shares valued at $1.5 million. In total, that was a 7.1% dilution for current shareholders.
  • There is another $5 billion in cash due SoftBank if Arm hits performance targets. We don’t know what these targets are.
  • So adding it up, “$40 billion” really means:

  • $12 billion in cash.
  • $23 billion in shares priced at a 16-year high earnings multiple.
  • Maybe/maybe not another $5 billion in cash.
  • This may turn out to look like an NFL contract where they announce a sky-high total value, only part of which the player will ever see.

    Can This Even Happen? This is going to be one of the most scrutinized deals of all time, because there are so many stakeholders here. The deal cuts a wide swath across the entire industry that will create issues for anyone making chips, smartphones, PCs or servers. Moreover, there are national issues at stake here for, at a minimum, the US, UK and China.

    Vivek Arya from Bank of America (NYSE: BAC) put the question plainly in the conference call:

    My question is on the regulatory and the ecosystem hurdles. So what kind of pushback do you see from regulators, especially in China, given all the trade tensions and then separately, any pushback from Arm’s customers, several of whom are your competitors today? And you know, they have unfettered access to Arm’s technology. So what kind of hurdles do you foresee, right, from both that regulatory and ecosystem perspective?

    NVIDIA CEO Jensen Huang almost completely punted on the regulatory issue and focused his answer on Arm’s customers, who include Apple, Qualcomm, Broadcom, Samsung, Intel, AMD, Huawei, ZTE and pretty much anyone else in the business of designing or manufacturing chips, phones, tablets, PCs or servers. There is a lot of the tech world with a lot riding on this. Apple just bet the future of the Mac on the Arm instruction set. This fact has not escaped the leadership of either company. Will there be briefs filed by everyone I mentioned and more? You can bet on it.

    The bottom line is that Arm has never competed with its own customers before, and now it will be.

    Here was Huang’s answer:

    The customers after they heard the rumors have reached out to Simon [Segars, Arm CEO] and he’s spoken to a lot of customers. And the fact that we're announcing the deal tells you a little something that we believe that the customers are going to be satisfied with our genuine intention to keep the platform open and neutral. We bought the company and we paid as you know, a very significant price, because of the vast network and the vast ecosystem of Arm, we love the business model…

    Open and fair and in fact offer all of those, all of Arm’s customers even more IP, I think is going to be very exciting. Regulatory, they're focused on pro competition, a condition that can ensure pro-competition and pro-customers, pro- customer choice. We are going to bring customers more choice. We are going to, for the very first time have credible plan to turn the Arm CPU core into a full-out data center platform…

    This combination really allows us to focus that energy and capture the value and deliver it to the market, an alternative platform that is going to be very powerful, very capable. And so the regulator's love to see pro-comp, you know, competitive dynamics in the marketplace. And so, we're pro- customer, we're pro-competition, the regulator should be very supportive of it.

    So he’s trying to frame that as x86 vs. Arm, and that would provide more competition, not less. But the combination does not really do that, it just changes the address of corporate headquarters. Nothing he said precludes some nightmare scenarios for competitors. For example, I did not hear him promise:

  • To keep licensing terms unchanged for a period of time.
  • To not force licensees to license an entire suite of IP, much of which is not needed, like Qualcomm does.
  • To license future development under open, fair and nondiscriminatory terms.
  • They talked a lot about AI. Are they going to be willing to license those developments under reasonable terms, not tied to other IP? How will they deal with their main GPU competitor, AMD? If they start developing data center chips of their own, as they have indicated may be in the cards, how will they deal with Amazon, or the much smaller companies like Ampere and Nuvia that are working on competing chips? The phrase “open and neutral” is nice, but there is a lot of wiggle room inside those quotes. Just look at what Facebook ( FB) does with seemingly benign words.

    Stacey Rasgon of Bernstein was also a little skeptical:

    I hear what you're saying about the potential value that customers will have. But at the same time, how does this really work in practice? I mean, it's a practical consideration that you're going to get first look at everything. You're going to control the direction of innovation of the company. You're going to know all of your customers’ roadmaps before they do. So, how are they really going to get comfortable with this, especially in some of these like high-performance computing and servers? And I sort of ask this within the envelope of maybe some of your prior efforts to drive an IP licensing business, which, to my recollection, did not go all that well.

    Ouch, Stacey Rasgon. Huang’s response was basically, “trust us.” He first described their current licensing approach of allowing customers to choose which layers of the stack they want. Then this:

    In the case of Arm, this will just be one layer, one technology offering, meaning that in the case that a customer would like to have our technology already fixed and hardened in a chip, that's fine. But if they would like to have it be soft and malleable, that's fine too. I think that the business model, the modern business model, this is just not as odd as it seems. You know, we go to the cloud and we have infrastructure as a service, platform as a service, software as a service. And the platforms make themselves available to you however you would like to be – like you to engage it.

    I think fundamentally, NVIDIA is, of course, going to continue to protect our most important thing, which is our enterprise reputation that we have to be a company that customers and our partners can trust… And so, we decided that this business model was something that we want to bring to make part of an extension of our company that we think it's great for business, it's great for economics, that is great for our strategy, and that it's going to be a pillar for extending our computing platform. If we believe that as I do, and we make a commitment to keep it open, we will.

    “Trust us,” is cold comfort for Arm customers and NVIDIA competitors, who are one and the same. The difference between NVIDIA now, and NVIDIA plus Arm is that they would have market-making powers, where they didn’t before. With this comes a whole new set of incentives. Even if they could trust Huang and his team, what about his successor, and his successor’s successor?

    And again, Huang really punted on the regulatory issue. They have promised to keep Arm headquarters in Cambridge, UK, and invest more into it, so this may take care of UK regulators. But that doesn’t mean there won’t be opposition. One of Arm’s co-founders, Hermann Hauser, has very publicly opposed the merger. His three arguments:

  • NVIDIA will reduce UK employment. NVIDIA seems to want to do the opposite.
  • "The sale of Arm to NVIDIA will destroy the very basis of Arm’s business model which is to be the Switzerland of the semiconductor industry dealing in an even-handed way with its over 500 licensees. Most of them are NVIDIA’s competitors. Among them are many UK companies. Assurances to the contrary should be legally binding.”
  • His main argument is that the crown jewel of UK tech will be in the hands of a US company, and subject to the control of the Departments of Treasury and Commerce, particularly the Office of Foreign Assets Control at Treasury.
  • The US will be trickier, as there will be an array of US corporations who are Arm customers, and who will game out a range of bad outcomes for regulators to mull over. Hauser’s second point is even more relevant in the US. If approved, NVIDIA will likely have to sign on to a consent decree or similar that severely limits what they can do. Unless their lawyers are as incompetent as GM’s were in the Nikola deal, I have to imagine they already understand this. But even with a consent decree, Arm customers would still be subject to NVIDIA’s willingness to abide by it, and the Justice Department’s willingness to enforce it.

    Huang tried not to mention China at all in his response, and there is good reason for that. He was pressed again on China by C.J. Muse from Evercore, and gave this non-answer:

    With respect to China, the important thing to realize is that the ownership, the company ownership of the IP is not the relevant issue. The origin of the IP is the relevant factor in export control. The IP of ARM was originated, created, developed over three decades in Cambridge. And so, the amount of soft – the amount of core, the amount of innovation is measured in thousands of human years. And so, the IP will essentially stay in the UK. The headquarters of Arm will be in the UK. We're going to continue to advance the technology in the UK.

    So he answered the question in terms of US technology export controls, rather than address the elephant in the room, which is how the Chinese Communist Party is going to react. This is the most delicate situation of them all. Like so many things in China, explaining it is an entire article unto itself, but I will try and keep it brief.

    In 2018, Softbank sold off its Chinese licensing business (not the IP) to a joint venture with Hopu Investments, a Chinese private equity firm run by Fang Fenglei. Fang has deep ties to both the Chinese Communist Party and Goldman Sachs ( GS). There is a joke in there somewhere. SoftBank retained 49% of the JV, Arm China.

    At the time, China represented a fifth of Arm’s revenue. So essentially, in exchange for $845 million, and a partnership with a connected Chinese big shot to make life easier on the mainland, SoftBank sold off half their Chinese cash flows, or 10% of all their revenue.

    They put Allen Wu in charge of the operations, and he turned out to be very problematic. Wu started his own fund in the image of SoftBank’s VisionFund. He began hitting up Chinese Arm customers for investments, offered up reduced Arm licensing fees as a sweetener, and made licensing more difficult for those who refused. When this all became apparent over the winter and spring of 2020, SoftBank and Fang tried to oust Wu, and he refused to step down. He has retained the company seal, which is a centuries-old legal token of control. Just the other day, a front company for Wu sued the Arm China board over his attempted ouster.

    NVIDIA is acquiring SoftBank’s minority interest in Arm China, and they are also acquiring a bit of a mess there, even if SoftBank were to sort it out first. But the bigger issue is how the Communist Party will view this deal. Given the last 4 years, and the recent US actions with TikTok and WeChat, they may not be eager to let a US company control a key piece of everyone’s tech stack. So Hauser’s third point is especially relevant for China.

    There is a long road ahead here, and the deal, in the end, may wind up getting squashed, or the regulatory terms become too onerous for NVIDIA to take. If I had to bet on it, I would say that is what happens, and China winds up being the fly in the ointment.

    What Does NVIDIA Get That They Couldn’t Have Gotten A Lot Cheaper? Here is the big question for me. Let’s start with their explanation, from CEO Huang on the conference call:

    The age of AI is driving a tremendous acceleration in the demand for computing, precisely at a time that Moore's Law has slowed. This requires a new approach in computing, as legacy architectures are not keeping up. Accelerators – NVIDIA’s accelerated computing platform has risen to the challenge, and is leading the path forward. And it's the backdrop to why this deal is so compelling and complementary for both businesses. There are several exciting growth drivers in our combination. First, Arm’s vast ecosystem. We can bring NVIDIA's GPU and AI Technology to large end markets, including mobile and PCs.

    Second, in the data center, NVIDIA will turbocharge Arm’s R&D and meet cloud computing customers demand for a higher velocity Arm’s CPU – Arm’s server CPU roadmap. NVIDIA AI would be an excellent support for all data center CPUs, x86, power and Arm. And third, we can accelerate our Edge AI and IoT roadmap and growth trajectory for the next wave of computing.

    The combination will boost our ecosystem of developers who are the cornerstone of our computing platform. Arm expands NVIDIA’s developer reach from 2 million to over 15 million.

    And then later in the call, he tied in Mellanox acquisition, and their new Bluefield data processing units (DPUs).

    The CPU is fantastic and low latency, single-threaded, really, really, really predictable latency type of processing. The GPU is really fantastic at high throughput data processing. And the DPU is really good at network and serial data movements, security processing. These three type of processors will define the future of computing. It is exactly the reason why we're so excited about this acquisition that with Arm and NVIDIA and Mellanox we have three computing platforms, one for networking, one for high throughput computing, accelerated computing, and AI computing, and one for CPUs and single-threaded computing.

    There’s a lot there. But as we look at it, ask yourself: could NVIDIA have gotten this for less than $40 billion or whatever it actually winds up costing?

    The first point he made is bringing NVIDIA to Arm customers. This set everyone’s hair on fire in more than a few places, including AMD and Qualcomm. He leaves open the question of how forceful they will be. Could they try and force Apple to license GPU technology they do not need along with the instruction set they use? Qualcomm is doing something similar to Apple, and Apple is, well, displeased by this, and are spending billions of dollars to not be a Qualcomm customer anymore.

    The second point, focus on the data center, will be met with mixed reactions. Companies like Amazon, Ampere and Nuvia that are working on Arm data center CPUs will be excited on the one hand that the data center cores will be getting a lot of attention, but wary that a competitor, NVIDIA, will at least be getting first crack at it, if not more.

    Then there is Qualcomm, Huawei, Samsung, and every handset maker not named Apple, who screamed out in unison, “But what about us?” The entire smartphone industry, aside from Apple who only licenses the instruction set, is highly dependent on Arm pushing those cores forward. NVIDIA has talked very little about smartphone SoCs through all of this.

    His next point on IoT brings up even more questions, so many that it gets its own section below, so hold on to that for a moment.

    Then he brings up Arm developers.

    But the nut of the argument centers around Moore’s Law, which states that CPU transistor count doubles every two years. It no longer works its magic for Intel and everyone else. A silicon atom is 0.2 nm across. The smallest transistor in a commercial product was just announced at Apple’s September event at 5 nm, meaning 25 atoms across. This can only go so far. For a long time, this problem has been solved with multiple cores, but single-core performance has not grown nearly as fast as it once did.

    Core packing will continue. Ampere will have a dual-socket server design early next year with 256 Arm cores. That is not a typo.

    But the bigger project is moving beyond the CPU in the data center, though it remains the base of the stack. On top of that, you put GPU accelerators for high-throughput tasks, and add to that DPUs that push data around the center at very high speeds. Binding that all together and making the whole thing work is AI, already an NVIDIA core competency.

    But back to that question: did they need to spend $40 billion or whatever it winds up being? For almost all of it, the answer is “no.”

    Imagine that instead of this, they announced a program to move hard into Arm development.

  • Go on a hiring spree and poach top talent.
  • Announce an annual conference just for Arm developers modeled around Apple’s annual Worldwide Developers Conference.
  • Produce a roadmap of where they see the CPU-GPU-DPU-AI stack going.
  • Make it an emphasis in corporate communications.
  • This would cost significantly less than $40 billion, or even $12 billion, the cash price. NVIDIA could fly the developers into the conference, and put them up in nice hotels, and it would still be cheaper. Matt Ramsay of Cowen asked this question very directly:

    You guys have license for essentially all of Arm’s core technology plus and architectural license for V8 and I'm sure V9 as it comes out, so I guess Jensen the question that I've been getting from folks is, why buy the whole company, right? What things are you looking forward to in close collaboration of CPU and GPU in the datacenter or putting your IP on clients and Edge devices? Could you’ve not have accomplished by just being an influential member of the Arm partnership and doing your own architectural license implementation of chips?

    Huang gave the same non-answer I already quoted, because he can't say the real reason. What does NVIDIA get from an acquisition that they cannot get from this much cheaper strategy? Control of the roadmap, and first access to it. At the end of the day, that is why it is worth it to NVIDIA, and why the prospect is so scary to so many stakeholders.

    IoT, and the RISC-V Risk NVIDIA did not get the Arm IoT unit, which SoftBank held on to. One of the very interesting tidbits that came out of the deal is that Arm’s EBITDA margin rose from 15% to 35% with the exclusion of the IoT unit, so right now it is a big drag on the consolidated company.

    But the split opens up even more questions about how this is going to work and what it means for the platform. For that, we need to discuss RISC-V.

    RISC-V is an open-source instruction set that is very robust and is becoming an important competitor with Arm in the IoT space. Because IoT SoCs are dedicated controllers that do not require third-party buy-in like smartphones, Arm’s ubiquity advantage vanishes. Companies save millions in licensing fees by choosing RISC-V over Arm. Like in the Linux space 25 years ago, companies like SiFive are filling the support gap in the open source ecosystem.

    Arm’s response was, in the first place, to allow smaller companies to start playing around with lower levels of IP for free, with payments coming only at production. In addition, they have made the lower level instruction sets open and editable by customers, one of RISC-V’s advantages.

    So there are three issues brought up here.

  • NVIDIA bought the instruction sets, which the IoT division is reliant on. What are the terms here? Does SoftBank get a free license? Will they fork the instruction set, or is the plan to fork it at the deal’s completion? Doing so would hurt one of Arm’s advantages, which is the common instruction sets across a wide range of device types.
  • If the deal goes through, NVIDIA and SoftBank will be competitors in the IoT space. How that works out in conjunction with point number 1 is anyone’s guess.
  • But there is a low-probability risk here that Arm customers will be so turned off by this deal, and afraid of being reliant on NVIDIA’s goodwill, that they will turn to RISC-V. Again, the probability is low, and nil in the short and medium terms, but it still exists.
  • This portion of the picture has been largely overlooked, but also has the potential to cause the most future problems for everyone involved should IoT really take off.

    Opportunity Costs Opportunity costs are one of those things that people talk about a lot, but don’t always factor into their thinking. These costs are the things you can’t do, because you did something else. The cost of my vacation was $5,000, but because of it, I couldn’t pay my mortgage and lost my house. That’s an opportunity cost in extreme.

    Any deal this big has huge opportunity costs. It’s not just the money NVIDIA is spending here, which at the end of the day is not all that much, but the attention and focus it will suck from other things they want to do. This likely precludes any more big moves by NVIDIA for a while.

    But the bigger opportunity risk here is that they spend 18 months trying to get this deal approved by regulators, only to be thwarted in the end. The $2 billion is mostly breakup fee, and they will have wasted 18 months, and a huge portion of leadership’s focus on a deal that never happened.

    So regardless of how this plays out, NVIDIA has set their course for the next year-plus at a minimum, and the opportunity costs to that will be large.

    Arm Financials SoftBank only reports limited financials on its divisions, so we know only a little bit about what it is NVIDIA is buying on the financial side. This is further confounded by SoftBank changing how they report their segments almost every year, so it’s hard to put a time-series together.

    Furthermore, the IoT division is a huge drag on the rest, and SoftBank is keeping that.

    NVIDIA reported that Arm would be immediately accretive to gross margin and EPS. The first part is obvious, but the second part not entirely because of the dilutive effects of the new shares. What they are telling us is that NVIDIA net income will rise by 8% or more with the consolidation. This is very good news for current shareholders.

    SoftBank changed how they reported out segment net sales and “income” (EBT) for fiscal 2018, so we only have the last two years to look at:

    Image from SoftBank FY 2019 annual report

    That 2018 segment income is actually a loss of ¥42.3 billion, as it includes the ¥176.3 billion cash they got from setting up the Arm China JV. So how does that square with the acquisition being accretive to EPS? Again, the IoT division proves to be a huge drag on profit measurements, and SoftBank is keeping that. SoftBank seems to tire quickly of profit-making companies.

    The other interesting metric they provide is royalty units, which is the number of chips that shipped with Arm IP on board, so many devices will have multiple royalty units. Royalties were 57% of Arm net sales in FY 2019, ended in March 2020, with 31% from licensing, rounded out by 12% from their fast-growing software and services division. But beyond the income, it’s a pretty good measurement of what is happening on the ground with Arm technology.

    What’s being reflected here is the flattening of global smartphone sales. But two big caveats:

  • They saw a marked uptick in all their YoY metrics in Q4, ending last March. Customers have a quarter to report, so that reflects the December quarter and the surge in 5G phone sales beginning then. That should continue.
  • Many people, including me, think they are on the cusp of a new wave of growth centered around PCs and the data center.
  • So if the deal goes through, the Arm NVIDIA gets may already look quite different than the Arm of today.

    What is Goodwill? Data by YCharts

    When you see a chart like that it is a bit of a red flag that an acquiring company likely overpaid on a deal. What you are seeing there is the effect on NVIDIA’s balance sheet from their acquisition of Mellanox. The total tab there was $7.1 billion, but 48% of that, $3.4 billion, went into goodwill. What is goodwill? Here’s how NVIDIA explains it in their most recent reporting:

    We allocate the fair value of the purchase price of an acquisition to the tangible assets acquired, liabilities assumed, and intangible assets acquired, including in-process research and development, or IPR&D, based on their estimated fair values. The excess of the fair value of the purchase price over the fair values of these net tangible and intangible assets acquired is recorded as goodwill. [emphasis added]

    I will translate for you: “This is about how much we overpaid by, but we don’t want to take a write-down, not for a few years.”

    So this is NVIDIA admitting they overpaid for Mellanox by about 92%. It was an all-cash deal. You can bet that goodwill will be the first thing I look at when NVIDIA reports if the deal is consummated. Most of Arm should wind up in intangibles, because this is where IP and brands go. But if a huge chunk shows up in goodwill like the Mellanox deal, we will know they overpaid, by their own admission. Though again, $40 billion was for the headline, not the real number.

    For what it’s worth, SoftBank reported 79% of their Arm acquisition as goodwill, booking only 21% as tangible and intangible assets. Their description of goodwill is much more colorful and SoftBank-y:

    Goodwill reflects the excess earning power expected from future business development, congregative human resources related to research and development, and the synergy between the Company and the acquiree.

    Extra points for “synergy.”

    What Does This All Mean For Arm Tech? People with whom I speak regularly have been subjected to articles of this length in rant form since about 2008 after Apple bought PA Semi and started their own chip design. I started writing at Seeking Alpha in October 2018, and two months later wrote my first Arm Is Going To Take Over The World screed for publication here. It was my most-read article at that point, and it was because Intel and AMD fans lined up from far and wide to tell me what a moron I was to suggest that Arm would replace x86 in the data center.

    How much has changed in less than two years. Whether this deal goes through or not, it is a bellwether event for Arm. There is just a ton of momentum here with Amazon, Apple and now NVIDIA having huge Arm announcements in a year’s time. Soon, I won’t have to write the “What is Arm?” section, because everyone will already know.

    That this slow revolution is continuing is almost certain now. In fact, it is picking up steam.

    Is This a Good Deal for NVIDIA? If they were paying with $40 billion in debt-financed cash, I would say this is a terrible idea. But they are not. They are mostly paying with stock priced at 89 times TTM earnings, and so the dilution is pretty minor in the end. An eighth of the reported price is dependent on performance targets, unknown to us.

    So if this gets past regulators, which frankly I do not think will happen, it looks like a great deal for NVIDIA to me. That may surprise you if you’ve read the 5000 words that preceded this paragraph, but I am mostly playing devil’s advocate here, and trying to poke holes in their story. There are many, many holes.

    But in the end, NVIDIA is trying to do what Apple does regularly, and is so very successful with: control the core technologies behind its products. NVIDIA wants to build a data center behemoth built around the CPU-GPU-DPU-AI stack. They control three of the four layers, and the Arm acquisition would give them the fourth, and most important layer in the stack. They can build this Goliath licensing Arm technology, but they would be dependent on someone else’s roadmap. That someone else is mostly in the business of selling smartphone SoC IP, and is most interested in the future of IoT.

    But again, this is precisely what is going to scare Arm’s customers so much. The entire smartphone ecosystem is dependent on the continued development of those cores, and if the company is shifting its attention to the data center, the rest may languish down the road. Those customers may even start looking at RISC-V. They have at least 18 months to mull it over, which is a lifetime in tech.

    To be clear, the neutral rating on NVIDIA reflects the regulatory uncertainty surrounding this deal, and the large opportunity costs should it fail.

    Disclosure: I am/we are long AAPL. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

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    From: Frank Sully12/18/2020 1:00:07 PM
       of 992
     
    Nvidia price target raised to $625 from $605 at Wells Fargo
    Wells Fargo analyst Aaron Rakers raised the firm's price target on Nvidia to $625 from $605 and keeps an Overweight rating on the shares. Rakers views Nvidia as remaining the strongest secular growth and platform story in semis driven by accelerating GPU server attach rates, the company's positioning for DPUs and an anticipated NVIDIA + Arm server CPU strategy. The analyst expects Nvidia to see continued positive GeForce RTX 3xxx-series product cycle through 1H21.

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    From: Frank Sully12/20/2020 7:09:11 AM
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    Nvidia’s Chips Have Powered Nearly Every Major AI Breakthrough
    etftrends.com

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    From: Frank Sully12/20/2020 8:39:27 AM
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    RISC Versus CISC: NVIDIA AI chips are based on ARM RISC while Intel PC chips are entrenched in X86 CISC. What's the difference?

    youtube.com

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    From: Frank Sully12/20/2020 8:54:01 AM
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    The Future of Computation: AI, ARM, and RISC-V | CogX 2020: youtube.com

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    From: Frank Sully12/20/2020 9:36:44 AM
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    World Biggest Chip: Blowing Moore's Law out of the water:

    popularmechanics.com

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    From: Frank Sully12/20/2020 9:44:07 AM
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    OT: Is mathematics Invented or Discovered? As a Naive Realist Platonist, I believe mathematics is discovered.

    youtube.com

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    From: Frank Sully12/20/2020 10:19:20 AM
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    OT: What is a Julia Set? The behavior of a complex polynomial P(z) (a polynomial of a complex variable z = a + bi, where i is the square root of -1) viewed as a iterated dynamical system is determined by an embedded chaotic repellor called a Julia set, after the French mathematician Gastow Julia who first studied these mathematicaly at the turn of the 20th Century (amazingly before the advent of computers). These are very beautiful as well as having many interesting mathematical properties. My doctoral dissertation in the mid-1980's was based on relating three quantities with a simple equation" The fractional Hausdorff dimension of the Julia set J, HD(J), the exponential expansiveness of the polynomial P(z) or Lyapunov exponent, lambda(P), and the randomness or entropy of the polynomial P(z), h(P): the equation is:

    h(P) = HD(J) x lambda(P).

    Amazing! Here is a basic video on Julia sets.

    youtube.com

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    To: Frank Sully who wrote (981)12/20/2020 10:34:26 AM
    From: Frank Sully
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    OT: Julia Set Zoom: Besides the fascinating mathematical properties of Julia sets, the advent of powerful digital computers and their graphical abilities enabled the study of the fractal properties via "zooms".

    youtube.com

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