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Advanced Micro Devices | AMD Team RED is READY As with any competitor, a quarterly earnings report from a peer can provide great insight into the market. For Advanced Micro Devices, the Q2'23 earnings report from Intel provides great views on the surging demand for AI chips and a rebound in PC demand crucial for AMD The most immediate signal from Intel beating Q2'23 estimates and guiding up for Q3 is the rebound in PC demand. Most importantly, the inventory correction appears over with OEMs no longer digesting chip inventory.Back in Q3'22, AMD shocked the market by cutting PC revenue estimates by $1 billion. The company quickly went from $2 billion in quarterly CPU sales for PCs to less than $1 billion. Intel still reported Q2 Client Computing revenue was down 12% YoY to $6.8 billion, but the number was up $1.0 billion sequentially. The chip giant guided up Q3 revenue to $13.4 billion, up $0.5 billion sequentially.In Q1'23, AMD reported that client revenues had fallen further to only $739 million. AMD CPU revenues are now far over $1 billion per quarter below the peak levels providing substantial upside potential when the PC market normalizes. Intel discussed a mixed picture for their business in the near term due to AI. The chip giant is seeing a wallet share shift from the sever CPU spend towards AI chips.The move is both good and bad for AMD. The company has the MI300 AI GPU chip hitting the market in Q4 providing a strong competitor to the booming demand for the H100 from Nvidia, but the chip isn't out on the market yet. In the near term, AMD may see some suppressed data center demand while heading into 2024. Ultimately, the company should see upside from AI demand for the MI300 along with the Alveo AI accelerator.On the Q2'23 earnings call, Intel CEO Pat Gelsinger suggested the AI pipeline for 2024 had surged to $1 billion: In my formal remarks, we said we now have over $1 billion of pipeline, 6x in the last quarter. Going back a few months, Morgan Stanley had estimated the AI potential for AMD was only $400 million with upside potential to $1.2 billion. The Intel forecasts would suggest the AI potential for AMD is far higher next year when the MI300 is in full-scale production. Nvidia guided up current quarter sales estimates by 50% to over $11 billion. The company suggested data center sales would reach $7+ billion in the quarter. AMD has only seen data center sales reach $1.3 billion in quarterly sales leaving a huge gap from Nvidia. Even Intel still hit $4.0 billion in data center sales during Q2'23, though the amount is down nearly 20% form 2022 levels due in part to losing market share to AMD. The big issue for AMD is whether data center sales growth stalls causing a miss to 2H sales targets while booming AI demand ultimately boosts sales starting in Q1'24, or maybe Q4. The chip company peaked at quarterly sales of $6.6 billion back Q2'22 and the current quarterly analyst estimates aren't very aggressive. A rebound in PC demand to more normalized levels places AMD back at the Q4'23 revenue target of $6.5 billion alone. A PC rebound to normal digestion ($2 billion quarterly run rate) along with higher data center or AI demand leads to vastly higher revenues in 2024. The current analysts aren't even factoring in much growth in the Q2'24 revenue estimate of $6.76 billion. The amount is just 4% upside from Q2'22 despite potentially surging demand from AMD entering the AI GPU space. AMD is set to report earrings after the close on August 1. Investors should focus less on the Q2 numbers or even Q3 guidance and focus more on a return to more normalized revenue levels plus the upside from AI.Our view has long held that AMD has the earnings potential of $5 to $6 and the AI opportunity is all upside to this view. The key investor takeaway is that AMD is still $50 below all time highs while Nvidia has soared over $100 above the late 2021 highs. Investors should use the current weakness in AMD to load up on the stock while leaving some capital to buy any weakness following Q2 earnings due to the potential for near term disappointment leading to long term opportunities.
NASDAQ:AMDLong
by moonypto
12
IMAX (IMAX) Analysis Company Overview: IMAX is well-positioned to benefit from the ongoing recovery in the entertainment industry. As a leader in premium large-format cinema experiences, IMAX leverages its asset-light business model to generate strong returns through system installations and global expansion. The company’s focus on providing immersive, high-quality viewing experiences has proven successful, with blockbusters like Top Gun: Maverick drawing moviegoers back to theaters in droves. Key Catalysts: System Installations and Backlog Growth: IMAX has seen a significant rise in system installations, contributing to an expanding backlog. This growth reflects the increasing demand for premium viewing experiences, as theaters capitalize on the higher ticket prices that IMAX screens can command. Asset-Light Business Model: IMAX’s asset-light approach reduces capital expenditure while maximizing returns, making it a more scalable and efficient business. This model allows the company to focus on expanding its footprint and enhancing its technology, driving long-term growth. Shift Towards Blockbusters: As the movie industry increasingly focuses on big-budget films, IMAX is set to benefit from its niche in premium cinema experiences. The success of films like Top Gun: Maverick underscores the demand for immersive theater experiences, positioning IMAX as a key player in this evolving market. Investment Outlook: Bullish Outlook: We are bullish on NYSE:IMAX if it holds above the $19.00-$20.00 range. Upside Potential: The upside target for IMAX is set at $30.00-$31.00, driven by the growth in system installations, a strong backlog, and the resurgence of blockbuster films. 🎥 IMAX—immersive experiences leading the future of cinema! #IMAX #CinemaRevival 🚀🎬
NYSE:IMAXLong
by Richtv_official
Tencent Holdings LtdIs Tencent Stock a Buy Now? Tencent posted its third quarter earnings report on Nov. 16. The Chinese tech giant's revenue fell 2% year over year to 140.1 billion yuan ($19.8 billion), which represented its second consecutive quarter of declining revenue since its IPO in 2004. Its net profit rose 1% to 39.9 billion yuan ($5.6 billion). On an adjusted basis, which excludes its investments and other one-time items, its net profit grew 2% to 32.3 billion yuan ($4.5 billion). Those growth rates seem anemic, but Tencent's stock had already been cut in half over the past two years amid concerns about China's tightening regulations, slowing economic growth, and COVID19 lockdowns. So is it the right time to take the contrarian view and buy Tencent as a turnaround play? Let's review its core businesses and valuations to decide. Tencent generated 31% of its third quarter revenue from its video game business. Domestic games, which include its blockbuster game Honor of Kings, accounted for 73% of that total. The remaining 27% came from overseas hits like League of Legends, Valorant, and PUBG Mobile.Its domestic gaming revenue fell 7% year over year, representing its third consecutive quarter of shrinking revenue, as it grappled with tighter playtime restrictions for minors in China over the past year. Those restrictions also coincided with a temporary suspension on new video game approvals in China, which started last July and ended this April.Its international gaming revenue rose 3% year over year, accelerating from its 1% decline in the second quarter, as new games like Tower of Fantasy and Goddess of Victory: Nikke attracted new players. Unfortunately, its overseas growth still couldn't offset its declining domestic revenue. As a result, Tencent's total VAS (value-added service) revenue which includes its gaming divisions, social media platforms, and streaming media subscriptions -- declined by 3% in the third quarter but still accounted for more than half of its top line. This core business might gradually stabilize as Tencent expands its international gaming business, but it will likely remain under intense pressure as long as the Chinese government continues to scrutinize the gaming industry. 200$ was one of the biggest support and great opportunity to buying the dip. 300-320$ is a big resistance level for tencent and if bulls win that battle then 350$ is next but can we back 250 or even 200$ again? YES
HKEX:700
by moonypto
11
Intel Corporation | INTCIntel reported second quarter earnings on Thursday, showing a return to profitability after two straight quarters of losses and issuing a stronger-than-expected forecast. the stock rose 7% in extended trading. Here’s how Intel did versus Refinitiv consensus expectations for the quarter ended July 1: Earnings per share: 13 cents, adjusted, versus a loss of 3 cents expected by Refinitiv. Revenue: $12.9 billion, versus $12.13 billion expected by Refinitiv. For the third quarter, Intel expects earnings of 20 cents per share, adjusted, on revenue of $13.4 billion at the midpoint, versus analyst expectations of 16 cents per share on $13.23 billion in sales. Intel posted net income of $1.5 billion, or 35 cents per share, versus a net loss of $454 million, or a loss of 11 cents per share, in the same quarter last year. Revenue fell 15% to $12.9 billion from $15.3 billion a year ago, marking the sixth consecutive quarter of declining sales. Intel CEO Pat Gelsinger said on a call with analysts the company still sees “persistent weakness” in all segments of its business through year-end, and that server chip sales won’t recover until the fourth quarter. He also said that cloud companies were focusing more on securing graphics processors for artificial intelligence instead of Intel’s central processors. David Zinsner, Intel’s finance chief, said in a statement that part of the reason the report was stronger than expected was because of the progress the company has made toward slashing $3 billion in costs this year. Earlier this year, Intel slashed its dividend and announced plans to save $10 billion per year by 2025, including through layoffs. “We have now exited nine lines of business since Gelsinger rejoined the company, with a combined annual savings of more than $1.7 billion,” said Zinsner. Revenue in Intel’s Client Computing group, which includes the company’s laptop and desktop processor shipments, fell 12% to $6.8 billion. The overall PC market has been slumping for over a year. Intel’s server chip division, which is reported as Data Center and AI, saw sales decline 15% to $4 billion plus Intel’s Network and Edge division, which sells networking products for telecommunications, recorded a 38% decline in revenue to $1.4 billion.moreover Mobileye, a publicly traded Intel subsidiary focusing on self-driving cars, saw sales slip 1% on an annual basis to $454 million and Intel Foundry Services, the business that makes chips for other companies, reported $232 million in revenue. Intel’s gross margin was nearly 40% on an adjusted basis, topping the company’s previous forecast of 37.5%. Investors want to see gross margins expand even as the company invests heavily in manufacturing capability. In the first quarter, the company posted its largest loss ever as the PC and server markets slumped and demand declined for its central processors. Intel’s results on Thursday beat the forecast that management gave for the second quarter at the time. Intel management has said the turnaround will take time and that the company is aiming to match TSMC’s chip-manufacturing prowess by 2026, which would enable it to bid to make the most advanced mobile processors for other companies, a strategy the company calls “five nodes in four years.” Intel said on Thursday that it remained on track to hit those goals. Nvidia has had an amazing run, but any emerging technology, such as AI, which is bottlenecked by a single company will have issues in growth. Consulting firm McKinsey has pegged the AI market to be worth $1 trillion by 2030, but also that it was in an experimental and in early phases of commercial deployment. While Nvidia will likely retain its leadership in GPU hardware as applied to AI for the foreseeable future, it is likely that other hardware solutions for AI systems will also be successful as AI matures. While technologist may quibble on specifics, all major AI hardware today are based on GPU architectures, and as such I will use the terms and concepts of AI hardware and GPU architecture somewhat interchangeably. One likely candidate for AI related growth may be AMD (AMD), which has had GPU products since acquiring ATI in 2006.However, unlike Nvidia, which had a clear vision for of general-purpose GPU products (GPGPU), historically, AMD had largely kept its focus on the traditional gaming applications. AMD has developed an AI architecture called XDNA, and an AI accelerator called Alveo and announced its MI300, an integrated chip with GPU acceleration for high-performance computing and machine learning. How AMD can and may evolve in the AI may be subject of a different article. Another contender for success in the AI applications using GPU is Intel, who is the focus of this article. Intel has maintained a consistent, if low key focus on GPU hardware focused on AI applications over the last decade. Intel’s integrated HD Graphics is built into most modern processor ICs; however, these are insufficient compared to dedicated GPUs for high-end inferencing or machine learning tasks. It has 2 primary GPU architectures in production release: In 2019 Intel Corporation acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately $2 billion. Habana Labs’ Gaudi AI product line from its inception focused on AI deep learning processor technologies, rather than as GPU that has been extended to AI applications. As a result, Gaudi microarchitecture was designed from the start for the acceleration of training and inferencing. In 2022 Intel announced Gaudi2 and Greco processors for AI deep learning applications, implemented in 7-nanometer (TSMC) technology and manufactured on Habana’s high-efficiency architecture. Habana Labs benchmarked Gaudi2’s training throughput performance for the ResNet-50 computer vision model and the BERT natural language processing model delivering twice the training throughput over the Nvidia high end A100-80GB GPU. So, Gaudi appears to give Intel a competitive chip for AI applications. Concurrent with the Habana Labs’ Gaudi development, Intel has internally developed the Xe GPU family, as dedicated graphics card to address high-end inferencing or machine learning tasks as well as more traditional high-end gaming. Iris® Xe GPU family consists of a series of microarchitectures, ranging from integrated/low power (Xe-LP) to enthusiast/high performance gaming (Xe-HPG), data center/AI (Xe-HP) and high-performance computing (Xe-HPC). The architecture has been commercialized in Intel® Data Center GPU Flex Series (formerly codenamed Arctic Sound) and Intel® Arc GPU cards. There is some question on Xe GPU future and evolution. Intel has shown less commitment to the traditional GPU space compared to Gaudi. Nonetheless, it does demonstrate Intel ability to design and field complex GPU products as its business requires. Intel has many other AI projects underway. The Sapphire Rapids chips implements AI specific acceleration blocks including technology called AMX (Advanced Matrix Extensions), which provides acceleration inside the CPU for efficient matrix multiplications used in on-chip inferencing and machine learning processing by speeding up data movement and compression. Intel has supporting technologies such as Optane, which while cancelled as a production line, is available for their needs of a high-performance non-volatile memory, one of the intrinsic components in any AI product. Based on the above, Intel appears to have competitive hardware solutions, however if we look at Nvidia success in AI, it is a result of a much a software and systems focus as it is the GPGPU hardware itself. Can Intel compete on that front. Ignoring for the moment that Intel has a huge software engineer (approx. 15,000) resource, it also has- access to one of the leading success stories in perhaps the most competitive AI application – self driving cars. Mobileye, who was acquired by Intel in 2017, has been an early adopter and leader, with over 20 years of experience in automotive automated driving and vision systems. As such, Mobileye has a deep resource of AI domain information that should be relevant to many applications. Mobileye has announced that it is working closely with Habana, as related divisions within Intel. While Intel is in the process of re-spinning out Mobileye as public company, Mobileye Global Inc. (MBLY), at present Intel still owns over 95% of shares, keeping it effectively an Intel division. In looking at Intel, we have a company with the history, resources, and technology to compete with Nvidia and infrastructure. They have made significant investment and commitment to the emerging AI market, in times when they have exited other profitable businesses. It should also be understood that AI related product are a small percentage of overall Intel revenues (INTC revenue are more than twice NVDA, even if NVDA has 6x its market cap), and continues to keep its primary business focus on its processor and foundry business. Hopefully for shareholders, Intel continues to push their AI technology and business efforts. Their current position is that this is strategic, but Intel is in a very fluid time and priorities may change based on business, finances, and of course the general interest and enthusiasm for AI. It is always worth noting that AI as a technical concept is mature, and appears to be cyclical, with interest in the technical community rising and falling in hype and interest once every decade or so. I remember working on AI applications, at the time labeled as expert systems in the 1980s. If we are currently at a high hype point, this may be temporary, based on near term success and disappointment in what AI does achieve. Of course, as always, “this time is different” and the building blocks of effective AI systems currently exist, where for previous iterations, it was more speculative.
NASDAQ:INTC
by moonypto
4
TSVT – A Bullish Breakout To MonitorNASDAQ:TSVT is having a nice bullish rally from $1.53 in Nov. 2023 to $5+ price levels. TSVT has reached a key light blue resistance line, and there has been resistance suppressing the price here. However, I am seeing some bullish signs into resistance, and there is the potential for a bullish breakout here. I think it is worth monitoring TSVT for a breakout. I would buy after a confirmed breakout, and the red lines are my key price targets on the way up.
NASDAQ:TSVT
by realchartchamp
2
ADTN 680%+ Long-Term Trade With Risks to ConsiderADTN is approaching my buy zone between $4.79 and $5.13 near historic lows. There are four key price targets on the way up, and the highest price target gives a potential ROI of around 680% if ADTN is able to return back to previous all time highs. There are some financial risks and concerns surrounding ADTN so I recommend reading articles to better understand the situation. Entry Price: $4.79 to $5.13 Sell Targets: - $7.48 - $13.71 - $24.90 - $37.46 Stop Loss: $4.65 I do recommend a stop loss given the financial concerns for ADTN.
NASDAQ:ADTNLong
by realchartchamp
SBLK 200%+ ROI Trade Setup from Insiders in CongressNASDAQ:SBLK is gaining some attention today because Senator Tuberville has purchased $100k worth of SBLK stock, a stock that is focused on forestry and mineral shipping. Senator Tuberville sits on the Senate Committee of Forestry and Agriculture so he could have some insider knowledge here. Buy price: $23 to $24 (I think an entry at $23 is possible, but I wouldn't mind buying at $24). Sell targets: - $77.50 - Previous all time highs are around $1,100. Stop Loss: $22.50, if stopped out the re-entry price is around $16-17. For now let's see if SBLK can get to $77.50 then we can discuss the other targets.
NASDAQ:SBLKLong
by realchartchamp