Category: Tech

Google Unveils Custom Axion Chips in Cloud Computing Arms Race

Posted on by slightbourne@noblecapitalmarkets.com

In the cloud computing battle among tech titans like Amazon, Microsoft and Google, the latest salvo comes from the internet search giant. Google (GOOG, GOOGL) has unveiled its custom Axion chips based on Arm (ARM) designs to try to reduce costs, boost performance for AI workloads, and cut reliance on outside vendors like Nvidia (NVDA).

The move puts Google in the company of rivals who have rolled out their own in-house processors in recent years. Amazon introduced its Graviton Arm chips in 2018, while Microsoft launched Arm-based chips just last November. Even smaller player Alibaba got into the custom silicon act back in 2021.

The economics have become compelling for the hyperscalers to design their own chips instead of relying on x86 processors from Intel (INTC) and AMD (AMD). Amazon has claimed its Graviton chips can provide up to 40% better price/performance compared to standard x86 instances. Google says its Axion chip offers 30% better performance than the fastest general-purpose Arm cloud VMs and a 50% boost over comparable x86 VMs. The chips also provide around 60% more energy efficiency than x86 instances for certain workloads.

Arm’s instruction set architecture allows for more compact and efficient chip designs compared to the complex x86 architecture. While Arm chips have traditionally been used in smartphones and other mobile devices, the cloud titans are now tapping Arm to power their data center workloads. The parallel computing performance of Arm chips also gives them an edge for AI applications which can leverage massive parallelism.

For Google, the new Axion CPUs are just the latest addition to its in-house chip portfolio. The company has designed its own Tensor Processing Units (TPUs) for years, with the latest Cloud TPU v5P unveiled in December being a powerhouse for AI training and inference. It has partnered with Broadcom (AVGO) to build the TPUs, with Broadcom’s CEO Hock Tan boasting last month that Google had bought “a ton” of chips from them.

Google plans to initially use the Axion CPUs for its internal workloads like the YouTube ads business, BigTable and Spanner databases, and BigQuery analytics before making them available externally. Companies like Snap (SNAP), Datadog, Elastic and OpenX are among the initial customers interested in tapping Google’s Arm silicon.

While Google’s cloud business still lags behind Amazon Web Services and Microsoft Azure, representing just 7.5% cloud infrastructure market share in 2022 compared to 62% for the leaders, every bit of performance and cost advantage helps. Custom Arm chips could give Google Cloud a pricing edge to win over more customers in the relentless cloud wars.

For investors, the Axion chips are worth watching as part of Google’s broader strategy to compete more effectively against Amazon and Microsoft in the rapidly growing cloud computing market. While Google generates over 75% of revenue from advertising currently, cloud is growing faster and is already profitable. Any assets like custom silicon that can help Google grab more cloud market share could pay off for the company and its shareholders over time.

The chip ambitions also have implications for other players in the semiconductor space like Arm, Nvidia, AMD and Intel. As cloud heavyweights increasingly go their own way with custom designs, it potentially limits their future chip demand from traditional providers. Arm could be a bright spot as its instruction set architecture becomes more embedded in data centers. But greater in-house chip efforts cast a cloud over prospects for current data center CPU vendors.

Snail (SNAL) – Underlying Trends Appear Favorable

Posted on by slightbourne@noblecapitalmarkets.com


Tuesday, April 02, 2024

Snail is a leading, global independent developer and publisher of interactive digital entertainment for consumers around the world, with a premier portfolio of premium games designed for use on a variety of platforms, including consoles, PCs and mobile devices.

Michael Kupinski, Director of Research, Equity Research Analyst, Digital, Media & Technology , Noble Capital Markets, Inc.

Patrick McCann, CFA, Research Analyst, Noble Capital Markets, Inc.

Refer to the full report for the price target, fundamental analysis, and rating.

Noisy Q4 results. The company reported Q4 revenue of $28.6 million and missed our estimate of $31.6 million. Adj. EBITDA for the quarter was $3.6 million, substantially below our estimate of $12.4 million. Figure #1 Q4 Results illustrates the company’s recent performance. Notably, the results were driven by higher than expected deferred revenue, related to DLC packages included in the sale of ARK: Survival Ascended (ASA). 

Deferred revenue recognition. The deferred ASA revenue will be split evenly across the five DLCS that are included in the game and recognized as the DLCs are released. Three of the DLCs included in ASA will be released in 2024 (Q2, Q3, Q4) with the remaining two expected in 2025. 


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This Company Sponsored Research is provided by Noble Capital Markets, Inc., a FINRA and S.E.C. registered broker-dealer (B/D).

*Analyst certification and important disclosures included in the full report. NOTE: investment decisions should not be based upon the content of this research summary. Proper due diligence is required before making any investment decision. 

Amazon Doubles Down on AI Revolution with $4 Billion Anthropic Investment

Posted on by slightbourne@noblecapitalmarkets.com

The artificial intelligence (AI) revolution is in full swing, and tech giants are racing to secure their footholds in this transformative space. Amazon’s recent $4 billion investment in Anthropic, a leading AI research company, is a bold move that underscores the e-commerce giant’s commitment to staying at the forefront of this technological shift.

The investment, which includes an initial $1.25 billion investment made last September and an additional $2.75 billion announced recently, is part of a broader strategic collaboration between the two companies. This collaboration aims to bring Anthropic’s advanced generative AI technologies, including the powerful Claude AI models, to Amazon’s cloud computing platform, Amazon Web Services (AWS).

The AI revolution is disrupting industries across the board, from healthcare and finance to manufacturing and entertainment. Companies that can harness the power of AI stand to gain a significant competitive advantage, and Amazon recognizes the immense potential of this technology.

By partnering with Anthropic, Amazon is positioning itself as a leading provider of AI solutions for businesses of all sizes. The company’s cloud computing platform, AWS, will serve as the primary cloud provider for Anthropic’s mission-critical workloads, including safety research and future foundation model development.

Moreover, AWS customers will gain access to Anthropic’s advanced AI models, such as the Claude 3 family, which has demonstrated near-human levels of responsiveness, improved accuracy, and new vision capabilities. This partnership promises to unlock exciting opportunities for customers to innovate with generative AI quickly, securely, and responsibly.

The tech sector has been experiencing a remarkable rally driven by the AI boom, and Amazon’s investment in Anthropic is a testament to this trend. As AI continues to reshape industries and create new possibilities, companies that embrace this technology early on are likely to reap significant rewards.

Amazon’s strategic move not only positions the company as a leader in the AI space but also highlights the growing importance of AI in driving innovation and creating value across industries. As the AI revolution continues to unfold, we can expect to see more companies investing heavily in this game-changing technology, shaping the future of how we live, work, and interact with the world around us.

Apple’s AI Ambitions Could Involve Major Partnerships

Posted on by slightbourne@noblecapitalmarkets.com

Apple is actively exploring partnerships with tech giants like Google and OpenAI as it accelerates its artificial intelligence efforts, according to a recent report from Bloomberg. The iPhone maker is said to be in “active negotiations” with Google to integrate the search giant’s Gemini generative AI into future Apple products and services.

The potential deal would give Apple access to Google’s advanced AI capabilities, allowing it to rapidly implement features like AI-powered text and image generation into offerings like iOS, Siri, and its productivity apps. Bloomberg reports that Apple has also considered integrating OpenAI’s viral ChatGPT model, highlighting the company’s willingness to leverage external AI expertise.

This openness to AI partnerships represents a strategic shift for the traditionally vertically integrated Apple. CEO Tim Cook confirmed earlier this year that the company is devoting “tremendous time and effort” to generative AI, with plans to release AI-powered features to consumers “later this year” with iOS 18. However, Apple’s in-house AI development efforts are reportedly lagging rivals.

While Apple employees have been testing an internal AI assistant called “Apple GPT,” the company’s generative AI tech is described as less capable than that of Microsoft, Google, and others. A partnership would allow Apple to utilize cutting-edge cloud AI while its own large language model, codenamed “Ajax,” continues development.

For Google, scoring an AI integration deal with its chief mobile rival would be a coup – expanding its AI’s reach to over 2 billion active iPhones globally. It could also strengthen Google’s position amid intensifying regulatory scrutiny over its lucrative deals making Google Search the default on Apple devices.

The two tech titans already have an $18 billion annual agreement in place for Google to be the preloaded search engine on iPhones and iPads. Adding AI services could make this partnership even more lucrative and harder for regulators to disentangle.

However, the deal risks being perceived as an admission from Apple that its AI capabilities lag behind Google’s, at least for now. Apple prides itself on cutting-edge silicon and integrated hardware/software experiences. Relying on Google’s AI could undermine its position as an innovation leader.

Apple may aim to provide on-device AI through its own models, while tapping Google’s cloud AI for more intensive generative tasks like text prompts or image creation. It’s already taken this hybrid approach with other services like Maps and web search.

Another complicating factor is Apple’s historical stance on privacy and protecting user data. Integrating Google’s AI could raise concerns about data sharing and usage policies that differ from Apple’s privacy-centric approach.

While the negotiations underscore Apple’s AI ambitions, many details remain unclear – including potential branding, business terms, technical implementation, or whether a deal will even be reached. Bloomberg reports any announcement is unlikely before Apple’s Worldwide Developers Conference in June.

As the AI Arms race intensifies, Apple is evidently willing to consider previously unorthodox partnerships and concessions to avoid falling behind rivals in this revolutionary technological domain. How it balances AI capabilities with its core principles and ultimately delivers its AI-powered user experiences will be crucial to maintaining its industry-leading device ecosystem.

Meta and Microsoft Achieve $1 Trillion Milestones as AI Investments Pay Off

Posted on by slightbourne@noblecapitalmarkets.com

Two of the biggest tech giants, Meta and Microsoft, recently hit major market cap milestones as part of the ongoing record rally in tech stocks.

Meta’s market cap surpassed the $1 trillion during intraday trading on January 24th, marking the first time the company reclaimed this valuation since 2021. Meta previously hit the $1 trillion mark in September 2021 at the height of its stock’s popularity.

Driving Meta’s soaring stock price is a nearly 200% surge over the past year, as CEO Mark Zuckerberg enacted cost-cutting that included laying off over 20,000 employees. After its stock plummeted to a six-year low in 2022, Zuckerberg has described 2023 as a “year of efficiency.”

Shareholders are bullish on Meta’s focus on expanding its position in artificial intelligence. Last week, Zuckerberg revealed the company is ramping up AI investments, procuring hundreds of thousands of high-powered AI chips from Nvidia. This signals Meta is spending billions to compete in the red-hot AI space.

On the same day Meta topped $1 trillion, Microsoft also briefly surpassed the $3 trillion mark during trading on January 24th. This comes around two weeks after Microsoft temporarily overtook Apple as the world’s most valuable company in mid-January. While Apple has since regained the top valuation spot, Microsoft remains hot on its heels.

Fueling Microsoft’s continued share price gains is optimism around the company’s AI initiatives. Microsoft stock is up over 7% year-to-date amid strong demand for AI capabilities, especially in generative AI.

Analysts predict Microsoft will post a solid earnings beat for its upcoming quarterly report, citing its leadership in enterprise-level AI as a key advantage. Microsoft seems poised to capitalize on the explosion of interest in AI technologies like ChatGPT.

AI Arms Race

The back-to-back market cap milestones from Meta and Microsoft highlight the massive investments pouring into artificial intelligence right now.

With breakout successes like ChatGPT demonstrating new possibilities for generative AI, tech giants are racing to stake their claims. The companies leading development of advanced AI stand to reap substantial rewards.

Both Meta and Microsoft are positioning themselves at the forefront of this AI arms race. In addition to its major chip purchases, Meta recently unveiled its own chatbot project, BlenderBot. Microsoft is integrating generative AI into Bing search and other offerings.

The tech world’s strike into AI looks poised to pay off based on the positive investor sentiment boosting Meta and Microsoft’s valuations. However, the AI hype cycle could eventually lead to a correction for these high-flying stocks.

For now, shareholders seem willing to bet on the transformative potential of artificial intelligence. And the tech giants pouring money into AI research appear ready to capitalize on this enthusiasm.

Big Tech Boosts Markets

Meta and Microsoft reaching new market cap heights also highlights the outsized impact of Big Tech on the broader stock market. The performance of tech stocks is a key factor driving indexes like the S&P 500 to record levels.

Despite some pockets of weakness, optimism around AI and other emerging technologies continues fueling upward momentum. The Nasdaq index, heavily weighted toward tech, rose over 12% in 2023 even as the overall market declined.

This dynamic shows no signs of changing in 2024. Tech stocks led markets higher to begin the year, with the Nasdaq up close to 10% in January as of this writing. Stocks like Meta and Microsoft hitting new milestones reflects their leadership in this rally.

However, extended runs by Big Tech raise risks of overheating and heighten their influence on market swings. With Apple, Microsoft, Amazon, Alphabet and other tech giants comprising over 20% of the S&P 500, their performance significantly impacts overall returns.

Nonetheless, bullish sentiment toward AI and other disruptive tech breakthroughs appears likely to keep lifting valuations. As giants like Meta and Microsoft position themselves to capitalize on these trends, their gravity on markets looks set to rise.

SoftBank Bounces Back: $7.6B T-Mobile Win Boosts Assets After String of Investment Flops

Posted on by slightbourne@noblecapitalmarkets.com

Japanese conglomerate SoftBank Group saw its shares soar 5% this week after announcing it will receive a windfall stake in T-Mobile US worth $7.59 billion. The deal highlights a reversal of fortunes for SoftBank and its founder Masayoshi Son, who has weathered missteps like the WeWork debacle but is now reaping rewards from past telecom investments.

The share acquisition comes through an agreement made during the merger of SoftBank’s US telecom unit Sprint and T-Mobile. With the merger complete and certain conditions met, SoftBank will receive 48.75 million T-Mobile shares, doubling its stake in the mobile carrier from 3.75% to 7.64%.

This is a big win for SoftBank as it substantially increases its portfolio of listed assets. SoftBank has worked to shift towards more conservative investments after facing heavy criticism for pouring money into overvalued late-stage startups like WeWork. The Japanese firm was forced to bail out WeWork after its failed IPO in 2019, leading to billions in losses.

However, the T-Mobile windfall, along with the recent blockbuster IPO of SoftBank-owned chip designer Arm, helps balance the books. It also bumps SoftBank’s internal rate of return on its original Sprint investment to 25.5%, a solid result.

SoftBank Trading at Steep Discount Despite Strong Assets

Even with missteps like WeWork, SoftBank still holds an impressive array of assets from its years of prolific venture investing. Yet the Japanese firm trades at a 45% discount to the value of its holdings, presenting an opportunity for investors.

The influx of liquid T-Mobile shares adds more tangible value compared to some of SoftBank’s private startup investments. Having more listed stocks helps improve SoftBank’s loan-to-value ratio, giving it more marginable equity relative to debt obligations.

This could help narrow the gap between SoftBank’s market capitalization and net asset value. The T-Mobile windfall and Arm IPO shore up SoftBank’s balance sheet with listed assets at a time when the gap between its market cap and value of holdings remains substantial.

Son’s Missteps Bring Scrutiny But Vision Still Intact

While the WeWork bet soured investor perception of SoftBank’s investment strategy, Son has shown he still has an eye for disruption. His early investments in Alibaba and Yahoo! set the stage for his later dominance in late-stage startup funding.

However, the WeWork debacle led Son to pledge increased financial discipline and a shift towards AI-focused companies. Recent wins like the Coupang IPO and rising value of holdings like DoorDash reassure investors that Son still knows how to pick winners early.

SoftBank also stands to benefit from Son’s long-term vision on the potential of AI, having acquired chipmakers like Arm to position itself as a leader in the so-called Information Revolution. As AI comes to dominate technology over the next decade, SoftBank’s early moves could pay off handsomely if Son’s predictions come true.

T-Mobile Deal Highlights Importance of Sprint Merger

While US regulators initially balked at the T-Mobile/Sprint merger over competition concerns, the deal is now paying off for SoftBank. The Japanese firm’s persistence in pursuing the merger exemplifies its long-term approach, as the benefits are now apparent.

The combined T-Mobile/Sprint is now a much stronger competitor versus Verizon and AT&T, going from the 4th largest US wireless carrier to 2nd largest. T-Mobile has aggressively expanded its 5G network and subscriber base since completion of the merger in 2020.

SoftBank also benefited by negotiating the share acquisition as part of the original merger agreement, allowing it to substantially increase its T-Mobile stake down the road at minimal additional cost.

Final Thoughts

The T-Mobile share acquisition highlights a reversal of fortunes for SoftBank after missteps like WeWork resulted in negative headlines and billions in losses. While the firm still trades at a discount to the value of its holdings, the T-Mobile windfall and Arm IPO help increase its listed assets versus debt.

Son’s long-term vision and willingness to make bold bets still drive SoftBank, even if investments like WeWork went sour. With the US telco mission accomplished by enabling the Sprint/T-Mobile merger, SoftBank now has both its legacy telecom investment and new T-Mobile shares paying off. Looking ahead, SoftBank is well-positioned in AI and next-gen chips to ride disruption waves far into the future if Son’s predictions on technology evolution prove prescient.

Nvidia Stock Still Has Room to Run in 2024 Despite Massive 200%+ Surge

Posted on by slightbourne@noblecapitalmarkets.com

Nvidia’s share price has skyrocketed over 200% in 2023 alone, but some analysts believe the AI chip maker still has more gas in the tank for 2024. The meteoric rise has pushed Nvidia near trillion-dollar status, leading some to question how much higher the stock can climb. However, bullish analysts argue shares still look attractively priced given massive growth opportunities in AI computing.

Nvidia has emerged as the dominant player in AI chips, which are seeing surging demand from companies developing new generative AI applications. The company’s deals this year with ServiceNow and Snowflake for its H100 chip underscore how major tech firms are racing to leverage Nvidia’s graphics processing units (GPUs) to power natural language systems like ChatGPT.

This voracious appetite for Nvidia’s AI offerings has triggered a wave of earnings upgrades by analysts. Where three months ago Wall Street saw Nvidia earning $10.76 per share this fiscal year, the consensus forecast now stands at $12.29 according to Yahoo Finance data.

Next fiscal year, profits are expected to surge over 67% to $20.50 per share as Nvidia benefits from its pole position in the white-hot AI space. The upgraded outlooks have eased valuation concerns even as Nvidia’s stock price has steadily climbed to nosebleed levels.

Surge Driven by AI Dominance But Valuation Not Overstretched

Nvidia’s trailing P/E ratio now exceeds 65, but analysts note other metrics suggest the stock isn’t overly inflated. For example, Nvidia trades at a PEG ratio of just 0.5 times, indicating potential undervaluation for a hyper-growth company.

Its forward P/E of 24.5 also seems reasonable relative to expected 70%+ earnings growth next year. While far above the market average, analysts argue Nvidia deserves a premium multiple given its AI leadership and firm grasp on the emerging market.

Evercore ISI analyst Matthew Prisco sees a clear path for Nvidia to become the world’s most valuable company, surpassing Apple and Microsoft. But even if that lofty goal isn’t achieved, Prisco notes Nvidia still has ample room for expansion both in revenue and profits for 2024.

Other Catalysts to Drive Growth Despite Stellar Run

Prisco points to Nvidia expanding its customer base beyond AI startups to bigger enterprise players as one growth driver. Increasing production capacity for key AI chips like the H100 is another, which will allow Nvidia to capitalize on the AI boom.

Patrick Moorhead of Moor Insights & Strategy expects the untapped potential in inference AI applications to fuel Nvidia’s next leg higher. This is reminiscent of the machine learning surge that propelled Nvidia’s last massive rally around 2018.

While risks remain like potential profit-taking and Nvidia’s inability to sell advanced AI chips to China, analysts contend the long-term growth story remains solid. Nvidia is firing on all cylinders in perhaps the most disruptive tech space today in AI computing.

With its gaming roots and GPU headstart, Nvidia enjoys a competitive advantage over rivals in the AI chip race. And its platform approach working with developers and marquee customers helps feed an innovation flywheel difficult for challengers to replicate.

Final Thoughts on Nvidia’s Outlook

Nvidia has already achieved meteoric stock gains rarely seen for a mega-cap company. Yet analysts argue its leading position in the AI revolution merits an extended valuation premium despite the triple-digit surge.

Earnings estimates continue marching higher as customers clamor for Nvidia’s AI offerings. While the current P/E is lofty on an absolute basis, growth-adjusted valuations suggest upside remains as Nvidia cements it dominance across AI use cases.

If Nvidia can broaden its customer base, boost production capacity, and capitalize on emerging opportunities like inference AI, shares could continue to charge ahead despite their blistering 2023 rally. With tech titans racing to deploy the next generation of AI, Nvidia looks poised to provide the supercharged semiconductors powering this computing transformation.

Meta Stock Skyrockets in Monumental Rebound From Brutal 2022

Posted on by slightbourne@noblecapitalmarkets.com

After a nightmarish 2022 saw Meta’s stock plunge over 60%, the company orchestrated a jaw-dropping turnaround in 2023 – with shares skyrocketing 178% year-to-date. This staggering rally cements 2023 as the best year ever for Meta’s stock, capping a remarkable validation of CEO Mark Zuckerberg’s intense push around “efficiency” and coast cuts.

The share price resurgence was fueled by Meta leanly rebuilding itself as an advertising titan laser-focused on what drives revenue today. Zuckerberg notably changed his tone in early 2023 – listening to shareholders, communicating more transparently, and realigning his priorities around the core ad business over capital intensive metaverse bets.

It represented a dramatic pivot from the seeming indifference to shareholder concerns that defined much of 2022 as Meta’s stock spiraled. After three straight quarters of declining sales, Zuckerberg admitted economic troubles and stiff competition had severely impacted projections.

2023 became Meta’s “year of efficiency” with sweeping layoffs and disciplined spending helping right the ship. Growth returned as digital advertising rebounded and Meta seized market share back from rivals Snap and Alphabet.

Crucially, Meta rapidly adapted its ad targeting to Apple’s 2021 privacy policy changes which had previously hammered revenue. Investments in artificial intelligence and machine learning helped Meta overcome the loss of certain user data – finding new ways to optimize ads despite disruptive forces.

The company also benefited enormously from booming advertising spend out of China looking to target Meta’s billions of users globally. This diversified another previous over-reliance on western advertisers.

Wall Street firmly rewarded Zuckerberg’s renewed focus and urgency regarding costs and care for the core business. But work remains heading into 2024 amidst lingering industry skepticism.

Meta still predicts an uncertain advertising landscape tied to geopolitical instability and the possibility of global recession. Its family of social apps also face intensifying governmental scrutiny and lawsuits related to mental health and data privacy concerns.

Plus the multi-billion dollar metaverse division continues bleeding substantial losses quarter after quarter – leading some analysts to demand bolder restructuring of that arm. Zuckerberg has trodden delicately here so far though, reluctant to fully abandon his vision.

And peril lies ahead in 2024 as digital behemoth Google plans to join Apple in phasing out certain ad tracking cookies from its dominant mobile ecosystems. This threatens a repeat of the mammoth revenue hit Meta only just recovered from and adapted to regarding Apple’s changes.

The regulatory ground also keeps shifting under the entire social media sector with legislative action repeatedly proposed on issues ranging from antitrust regulation to outright platform bans tied to national security concerns.

Upstart rival TikTok particularly remains an imposing threat having pioneered the culture-dominating short video format now ubiquitous across all social apps. Its popularity with younger demographics continues outpacing Meta’s offerings, forcing more ad dollars out of Meta’s reach as marketing follows shifting generational engagement.

Despite still monumental scale, Meta therefore heads towards 2024 with nervous investors recalling how quickly its business model faltered against the collision of multiple storm fronts in 2022. Its salvation came by sweating assets through job cuts and engineering revenue growth however possible in a battered online ad market.

But Meta likely needs more innovative long-term vision to guarantee sustained dominance as new technological and economic realities reshape its competitive landscape in dynamic ways year after year.

For now, as 2023 wraps historically, Mark Zuckerberg has earned a victory lap after boldly steering his tech empire back from the brink. Though clouds remain on the horizon, Meta proved it still has sharp reflexes and can reinvent itself when forced. The coming decade may demand that agility over and over as digital ways of life advance apace.

Amazon Trainium2 Takes Aim at Nvidia’s AI Chip Dominance

Posted on by slightbourne@noblecapitalmarkets.com

As artificial intelligence continues its seemingly unstoppable rise, tech giants are racing to power the next generation of AI applications. This week, Amazon Web Services unveiled its latest salvo directed squarely at sector leader Nvidia – the new Trainium2 AI training chip. Promising up to quadruple the performance of its predecessor, Trainium2 represents Amazon’s most aggressive move yet to challenge Nvidia’s dominance in the white-hot AI chip space.

Nvidia’s GPUs Fuel Explosive Growth of AI

Over the past decade, Nvidia has capitalized on the AI boom more than any other company. Its graphics processing units, or GPUs, first designed for video gaming proved remarkably adept at accelerating machine learning. Aggressive investments in its Tensor Core GPU architecture tailored specifically for AI workloads cemented Nvidia’s status as the chipmaker of choice for everything from natural language AI like ChatGPT to computer vision, robotics and self-driving vehicles.

Demand for Nvidia chips now far outstrips supply, as businesses of all stripes rush to infuse AI capabilities into their operations. The company’s data center revenue expanded sharply in its most recent quarter, overtaking its gaming segment for the first time, demonstrating the commercial appetite for its AI offerings. Nvidia also boasts partnerships expanding its reach, including an alliance with Microsoft to power Azure’s AI cloud infrastructure.

Can Trainium2 Take on Nvidia’s AI Dominance?

This is the competitive landscape now facing Trainium2 as Amazon seeks to grow its 7% share of the nearly $61 billion AI chip market. Boasting 58 billion transistors, far greater than Nvidia’s offerings, and advanced compression technology minimizing data movement, the second-generation Trainium aims to match or beat Nvidia’s training performance at lower cost.

Crucially for Amazon Web Services customers, Trainium2 optimizes TensorFlow, PyTorch and MXNet, among the most popular open-source AI frameworks. It can also handle multi-framework workloads simultaneously. Amazon is counting on these features combined with integrated tools for scaling model training to convince AI developers and businesses to give Trainium2 a look over Nvidia’s ubiquitous GPUs.

Still, Nvidia isn’t standing still. Its latest H100 GPU packs 80 billion transistors enabling an order of magnitude performance leap over previous generations. Plus, Nvidia’s CUDA programming framework and expansive software ecosystem powering over 2.3 million AI developers globally cannot be easily dismissed.

The AI Chip Wars Have Only Just Begun

While Trainium2 faces stiff competition, its arrival underscores how vital the AI chip space has become. Amazon is also expanding collaboration with Nvidia, incorporating H200 GPUs into AWS infrastructure so customers can access Nvidia’s most advanced AI hardware. With AI poised to unleash a new industrial revolution, expect the battle for chip supremacy powering everything from intelligent search to autonomous robotaxis to keep heating up.

Binance CEO Pleads Guilty to Money Laundering

Posted on by slightbourne@noblecapitalmarkets.com

In a watershed moment for cryptocurrency oversight, Changpeng Zhao, billionaire founder of crypto exchange Binance, pleaded guilty on Tuesday to charges related to money laundering and sanctions violations. Binance itself also pleaded guilty to similar criminal charges for failing to prevent illegal activity on its platform.

The guilty pleas are part of a sweeping, coordinated crackdown on Binance by U.S. law enforcement and regulators. As part of the settlement, Binance agreed to pay over $4 billion in fines and penalties to various government agencies. Zhao himself will personally pay $200 million in fines and has stepped down as CEO.

The implications of this development on the broader crypto sector could be profound. As the world’s largest crypto trading platform, Binance has played an outsized role in the growth of the industry. Its legal troubles and the record penalties imposed call into question the viability of exchanges that flout compliance rules in the name of rapid expansion.

Prosecutors allege that Binance repeatedly ignored anti-money laundering obligations and allowed drug traffickers, hackers, and even terrorist groups like ISIS to freely use its platform. According to the Department of Justice, Binance processed transactions for mixing services used to launder money and facilitated over 1.5 million trades in violation of U.S. sanctions.

U.S. authorities were unequivocal in their criticism of Binance’s focus on profits over meeting regulatory requirements. This suggests that other exchanges that aggressively pursued growth while turning a “blind eye” to compliance may face similar crackdowns in the future. The $3.4 billion civil penalty imposed on Binance also sets a benchmark for potential fines other non-compliant entities may confront.

The charges against the world’s largest crypto exchange and its high-profile leader represent federal authorities’ most aggressive action yet to rein in lawlessness in the cryptocurrency industry. Officials made clear they will continue targeting crypto companies that break laws around money laundering, sanctions evasion, and other illicit finance.

More broadly, CZ’s guilty plea underscores the pressing need for sensible guardrails if crypto is to shed its reputation as primarily facilitating illegal activity. Though blockchain technology offers many potential benefits, its pseudonymous nature makes it vulnerable to abuse by criminals and terrorists financing unless exchanges rigorously verify customer identities and the source of funds.

For the wider crypto sector, the Binance takedown may spur valuable change. Many experts argue overly lax regulation allowed crypto exchanges to ignore Anti-Money Laundering rules other financial institutions must follow. The billion-dollar penalties against Binance could convince the industry it’s cheaper to self-regulate.

The Binance case may accelerate calls for a regulatory framework tailored to the unique risks posed by cryptocurrencies. Rather than stifle innovation in this nascent industry, thoughtful policies around KYC, anti-money laundering, investor protections and other issues could instill greater confidence in cryptocurrencies among mainstream investors and financial institutions.

Of course, because cryptocurrency transactions are pseudonymous, crypto will likely remain appealing for certain unlawful activities like narcotics sales and ransomware. But with Binance’s guilty plea, regulators sent the message that flagrant non-compliance will not fly. Exchanges allowing outright criminal abuse may face existential legal threats.

For exchanges determined to operate legally, the Binance debacle highlights the existential risks of non-compliance. No matter how large or influential, exchanges that refuse to meet their regulatory responsibilities risk jeopardizing their futures. Expect most exchanges to immediately review their KYC and AML policies in the wake of the Binance penalties.

At minimum, the charges will likely damage Binance’s reputation. Although the company remains operational, it could lose market share to competitors perceived as more law-abiding. For crypto investors, the uncertainty and loss of trust surrounding such a dominant player create fresh volatility in already turbulent markets.

Perhaps most profoundly, seeing handcuffs slapped on crypto’s one-time “king” punctures the industry’s former aura of impunity. After the Binance takedown, ongoing federal probes into FTX and other exchanges, and Sam Bankman-Fried’s criminal conviction, crypto fraudsters might finally fear the consequences many avoided for so long. For better or worse, crypto is evolving.

Nvidia Out to Prove AI Means (Even More) Business

Posted on by slightbourne@noblecapitalmarkets.com

Chipmaker Nvidia (NVDA) is slated to report fiscal third quarter financial results after Tuesday’s closing bell, with major implications for tech stocks as investors parse the numbers for clues about the artificial intelligence boom.

Heading into the print, Nvidia shares closed at an all-time record high of $504.09 on Monday, capping a momentous run over the last year. Bolstered by explosive growth in data center revenue tied to AI applications, the stock has doubled since November 2022.

Now, Wall Street awaits Nvidia’s latest earnings and guidance with bated breath, eager to gauge the pace of expansion in the company’s most promising segments serving AI needs.

Consensus estimates call for dramatic sales and profit surges versus last year’s third quarter results. But in 2022, Nvidia has made beating expectations look easy.

This time, another strong showing could validate nosebleed valuations across tech stocks and reinforce the bid under mega-cap names like Microsoft and Alphabet that have ridden AI fervor to their own historic highs this month.

By contrast, any signs of weakness threatening Nvidia’s narrative as an AI juggernaut could prompt the momentum-driven sector to stumble. An upside surprise remains the base case for most analysts. But with tech trading at elevated multiples, the stakes are undoubtedly high heading into Tuesday’s report.

AI Arms Race Boosting Data Center Sales

Nvidia’s data center segment, which produces graphics chips for AI computing and data analytics, has turbocharged overall company growth in recent quarters. Third quarter data center revenue is expected to eclipse $12.8 billion, up 235% year-over-year.

Strength is being driven by demand from hyperscale customers like Amazon Web Services, Microsoft Azure, and Alphabet Cloud racing to build out AI-optimized infrastructure. The intense competition has fueled a powerful upgrade cycle benefiting Nvidia.

Now, hopes are high that Nvidia’s next-generation H100 processor, unveiled in late 2021 and ramping production through 2024, will drive another leg higher for data center sales.

Management’s commentary around H100 adoption and trajectory will help investors gauge expectations moving forward. An increase to the long-term target for overall company revenue, last quantified between $50 billion and $60 billion, could also catalyze more upside.

What’s Next for Gaming and Auto?

Beyond data center, Nvidia’s gaming segment remains closely monitored after a pandemic-era boom went bust in 2022 amid fading consumer demand. The crypto mining crash also slammed graphics card orders.

Gaming revenue is expected to grow 73% annually in the quarter to $2.7 billion, signaling a possible bottom but well below 2021’s peak near $3.5 billion. Investors will watch for reassurance that the inventory correction is complete and gaming sales have stabilized.

Meanwhile, Nvidia’s exposure to AI extends across emerging autonomous driving initiatives in the auto sector. Design wins and partnerships with electric vehicle makers could open another massive opportunity. Updates on traction here have the potential to pique further interest.

Evercore ISI analyst Julian Emanuel summed up the situation: “It’s still NVDA’s world when it comes to [fourth quarter] reports – we’ll all just be living in it.”

In other words, Nvidia remains the pace-setter steering tech sector sentiment to kick off 2024. And while AI adoption appears inevitable in the long run, the market remains keenly sensitive to indications that roadmap is progressing as quickly as hoped.

Microsoft Scores AI Talent by Hiring OpenAI’s Sam Altman

Posted on by slightbourne@noblecapitalmarkets.com

Microsoft emerged victorious in the artificial intelligence talent wars by hiring ousted OpenAI CEO Sam Altman and other key staff from the pioneering startup. This coup ensures Microsoft retains exclusive access to OpenAI’s groundbreaking AI technology for its cloud and Office products.

OpenAI has been a strategic partner for Microsoft since 2019, when the software giant invested $1 billion in the nonprofit research lab. However, the surprise leadership shakeup at OpenAI late last week had sparked fears that Microsoft could lose its AI edge to hungry rivals.

Hiring Altman and other top OpenAI researchers nullifies this threat. Altman will lead a new Microsoft research group developing advanced AI. Joining him from OpenAI are co-founder Greg Brockman and key staff like Szymon Sidor.

This star-studded team will provide Microsoft with a huge boost in the race against Google, Amazon and Apple to dominate artificial intelligence. Microsoft’s share price rose 1.5% on Monday on the news, adding nearly $30 billion to its valuation.

The poaching also prevents Altman from jumping ship to competitors, according to analysts. “If Microsoft lost Altman, he could have gone to Amazon, Google, Apple, or a host of other tech companies,” said analyst Dan Ives of Wedbush Securities. “Instead he is safely in Microsoft’s HQ now.”

OpenAI Turmoil Prompted Microsoft’s Bold Move

The impetus for Microsoft’s talent grab was OpenAI’s messy leadership shakeup last week. Altman and other executives were reportedly forced out by OpenAI board chair.

The nonprofit recently created a for-profit subsidiary to commercialize its research. This entity was prepping for a share sale at an $86 billion valuation that would financially reward employees. But with Altman’s ouster, these lucrative payouts are now in jeopardy.

This uncertainty likely prompted top OpenAI staff to leap to the stability of Microsoft. Analysts believe more employees could follow as doubts grow about OpenAI’s direction under Emmett Shear.

Microsoft’s infrastructure and resources also make it an attractive home. The tech giant can provide the enormous computing power needed to develop ever-larger AI models. OpenAI’s latest system, GPT-3, required 285,000 CPU cores and 10,000 GPUs to train.

By housing OpenAI’s brightest minds, Microsoft aims to supercharge its AI capabilities across consumer and enterprise products.

The Rise of AI and Competition in the Cloud

Artificial intelligence is transforming the technology landscape. AI powers everything from search engines and digital assistants to facial recognition and self-driving cars.

Tech giants are racing to lead this AI revolution, as it promises to reshape industries and create trillion-dollar markets. This battle spans hardware, software and talent acquisition.

Microsoft trails category leader Google in consumer AI, but leads in enterprise applications. Meanwhile, Amazon dominates the cloud infrastructure underpinning AI development.

Cloud computing and AI are symbiotic technologies. The hyperscale data centers operated by Azure, AWS and Google Cloud provide the computational muscle for AI training. These clouds also allow companies to access AI tools on-demand.

This has sparked intense competition between the “Big 3” cloud providers. AWS currently has 33% market share versus 21% for Azure and 10% for Google Cloud. But Microsoft is quickly gaining ground.

Hiring Altman could significantly advance Microsoft’s position. His team can create exclusive AI capabilities that serve as a differentiator for Azure versus alternatives.

Microsoft’s Prospects in AI and the Stock Market

Microsoft’s big OpenAI poach turbocharged its already strong prospects in artificial intelligence. With Altman on board, Microsoft is better positioned than any rival to lead the next wave of AI innovation.

This coup should aid Microsoft’s fast-growing cloud business. New AI tools could help Microsoft chip away at AWS’s dominance while holding off Google Cloud.

If Microsoft extends its edge in enterprise AI, that would further boost revenue and earnings. This helps explain Wall Street’s positive reaction lifting Microsoft’s stock 1.5% and adding $30 billion in market value.

The success of cloud and AI has fueled Microsoft’s transformation from a stagnant also-ran to a Wall Street darling. Its stock has nearly tripled since early 2020 as earnings rapidly appreciate thanks to its cloud and subscription-based revenue.

Microsoft stock trades at a reasonable forward P/E of 25 and offers a dividend yield around 1%. If Microsoft keeps leveraging AI to expand its cloud business, its stock could have much further to run.

Hiring Altman and deploying OpenAI’s technology across Microsoft’s vast resources places a momentous technology advantage within the company’s grasp. Realizing this potential would be a major coup for Satya Nadella as CEO. With OpenAI’s crown jewels now safely in house, Microsoft’s tech lead looks more secure than ever.

Microsoft Makes Waves with New AI and ARM Chips

Posted on by slightbourne@noblecapitalmarkets.com

Microsoft made waves this week by unveiling its first ever custom-designed chips at the Ignite conference. The tech giant introduced two new processors: the Maia 100 chip for artificial intelligence workloads and the Cobalt 100 chip for general computing purposes. These new silicon offerings have the potential to shake up the chip industry and cloud computing markets.

The Maia 100 is Microsoft’s answer to the AI accelerators from rivals like Nvidia and Amazon. It is tailored to boost performance for AI tasks like natural language processing. During Ignite, Microsoft demonstrated Maia handling queries for its Bing search engine, powering the Copilot coding assistant, and running large OpenAI language models.

Microsoft has been collaborating closely with OpenAI and is a major investor in the AI research company. OpenAI’s popular ChatGPT was trained on Azure using Nvidia GPUs. By designing its own chip, Microsoft aims to reduce reliance on third-party silicon for AI workloads.

Though performance details remain unclear, Microsoft stated that Maia handles AI tasks with high throughput and low latency. It emphasized efficiency as a key design goal. The chip was engineered in close consultation with Microsoft’s internal AI teams to ensure it fits their requirements.

Microsoft has created novel liquid cooling technology called Sidekicks to work alongside Maia server racks. This advanced thermal management unlocks Maia’s full processing capacity while avoiding the overheating issues that often plague GPU-powered data centers.

When available on Azure, Maia will provide customers access to specialized AI hardware on demand instead of buying dedicated GPUs. Microsoft did not provide a timeline for Maia’s availability or pricing. But offering it as a cloud service instead of a physical product sets Maia apart from AI chips from Intel, Nvidia and others.

The second new chip announced at Ignite was the Cobalt 100 ARM-based processor for general computing. It is expected to deliver a 40% performance boost over existing Azure ARM chips from Ampere.

Microsoft believes Cobalt will provide a compelling alternative to Intel’s server CPUs for cloud workloads. Companies like Amazon have already demonstrated success in cloud data centers by transitioning from Intel to custom ARM chips.

Virtual machines powered by Cobalt will become available on Azure in 2024. Microsoft is currently testing it for key services like Teams and Azure SQL database. More efficient ARM servers can translate to lower costs for cloud customers.

The Cobalt announcement highlights Microsoft’s growing reliance on ARM architecture across its cloud infrastructure. ARM chips are known for power efficiency in mobile devices, but companies like Amazon, Microsoft and Apple now recognize their benefits for data centers too.

By designing its own server-class ARM processor, Microsoft can optimize performance and features specifically for its cloud services. With both Maia and Cobalt, Microsoft aims to give Azure a competitive edge over rivals like AWS and Google Cloud.

Microsoft has lagged behind in cloud infrastructure market share, but introducing unique silicon could help close the gap. Its vertically integrated approach produces chips tailor-made for AI and its cloud platform. With demand for AI compute and cloud services booming, Microsoft’s gambit on custom chips could soon pay dividends.