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TL;DR Rolls out optical interconnects for Mi500 in 2027. From channel checks, AMD is heading down to the CPO route (seems likely to use Ayar). 👍👍
Just some TLDR news: - $CXMT IPO tomorrow if you like Chinese memory. - Samsung Electronics reportedly struggling to secure large FC-BGA substrates. Ibiden (4062) reportedly requested LTA guarantees, Samsung Electro-Mechanics sought prepayments. - Samsung + $AVGO sign memory + foundry AI framework through 2030, expected to exceed $200b - $SOI expects FY2027 silicon photonics revenue to double compared to the previous year, surpassing Morgan Stanley's 60% growth projection. Photonics thesis go brrr. - SK Group + $NVDA sign $500B+ partnership to build out AI DCs and HBM4 memory. - SKC Absolics glass core delay to 2027 from reports. Targeting final reliability testing EOY, mass production next year. So if you're curious, this does push back some ramps from $LPK and others (hence drop on ER). - $QCOM price hikes by double digits for smartphone processors, due to upstream supplier hike pricing. - $META expected to issue $12B in project-level/SPV financing for El Paso, Texas AI DC expansion - Naver announced a $10 billion investment from $NVDA and Brookfield to construct a 1GW-scale AI Factory. Near term plan is 200MW by 2028. (Nvidia $1B investment, Brookfield nonbinding $9B) - 64GB DDR5 server modules rises 146% versus end-June contract pricing - $INTC brought forward 14A process mass production by a year, risk production H2 2027 and volume production in 2028, vs. 2029 HVM expectations. - Samsung Electro-Mechanics wins $200m MLCC order (existing bottleneck). - $AMD (the Bandana bottleneck), announces Helios is in full production with shipments Q3 2026. Including an up to 2GW MI455X GPU deployment with Anthropic and a 6GW infrastructure rollout with OpenAI. Gave new >50% CAGR TAM to $220B by 2030 from $26b in 2025 for CPU market. Rolls out optical interconnects for Mi500 in 2027. From channel checks, AMD is heading down to the CPO route (seems likely to use Ayar). - $ORCL wins $7B Department of War enterprise software contract - JX metal doubles semi target capacity at its KR subsidary with a 4B yen investment, with operations to begin H2 2027, amid surging demand from major customers Samsung Electronics and SK Hynix - Tungsten hexafluoride spot prices surged 2.1-2.5x Y/Y following Japan's Kanto Denka and Chuo Gas announcing permanent production halts. Fluorinated liquid supply faces a vacuum as 3M plans to exit PFAS production. - From the four optical chipmaker earnings, Yuanjie/Eoptolink/TFC Optical/Dongshan Precision: no major order cuts, 1.6T shipments expected to accelerate into 2027. Optical chip suppliers expected to capture outsized margins from shortages. - Unitree Robotics Targets 30,000 Humanoid Robot Production Capacity by 2026. Read through on humanoid TAM scaling like $CCXI and others. - Energy storage lithium batteries orders increase first half orders by 2,900% apparently in China. Not as familiar with EVE Energy and other battery makers.
Many more signatories have joined the NVIDIA–Microsoft letter on open-weight AI models, including AMD. It shows a united front to Washington, D.C. in support of open-weight AI models. Politicians and regulators should listen to industry. Only Anthropic and Amazon haven’t signed https://t.co/eEZf0ZtWbh
A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Tesla $TSLA was down 14% today, its worst day since January 2024, while Google $GOOGL was down 7% after posting its first negative free cash flow quarter since 2004. The macro backdrop is not helping either. Crude oil has pushed back above $90/barrel for the first time since June and is up 25% over the past month. At the same time, the 10-year Treasury yield has crossed 4.7%, while jobless claims came in at 187K vs 211K expected, showing a stronger labor market but also raising concerns that inflation pressure could persist. Today was the worst day for the Mag 7 since April 2025 with all 7 stocks erasing $800B of market cap. 2. AMD $AMD CEO Lisa Su said at the AMD Advancing AI event today that the AI accelerator market could grow to $1.4T by 2030, within a broader compute market expected to reach $2T. She also noted that monthly AI token consumption has surged 158x over the past two years, underscoring how quickly compute demand is scaling. AMD unveiled Helios, its new rack-scale AI system built around the MI450 accelerator, which Su called the fastest AI accelerator in the industry. Helios is now in full production, with shipments expected to start at the end of Q3 and ramp through Q4. 3. Intel $INTC posted a strong Q2, with revenue of $16.1B vs $14.5B expected, up 25% YoY, and adjusted EPS of $0.42 vs $0.22 expected. Adjusted gross margin came in at 41.8% vs 39% expected, up 1,210 bps YoY, while non-GAAP operating margin reached 17.2% vs 10.7% expected. Segment results were strong across the core business, with CCPG revenue up 13% YoY to $8.9B, DCAI revenue up 59% YoY to $6.3B, total Intel Products revenue up 28% YoY to $15.1B, and Intel Foundry revenue up 31% YoY to $5.8B. Management said Q2 marked Intel’s strongest revenue growth in more than 15 years, driven by better execution, higher factory yields, improved cycle times, and stronger customer demand. 4. Trump warned that the U.S. will hold Iran responsible if the Houthis resume attacks on commercial shipping. He said the Houthis had acted “responsibly” after previous U.S. strikes, but are now “starting up again” after reportedly firing on two Saudi Arabian ships last night. Trump said the Houthis are a proxy of Iran, and that any further attacks would trigger major military punishment against both Iran and the Houthis. 5. Nvidia $NVDA is committing $1.5B to Amkor $AMKR through a prepayment tied to a multi-year advanced packaging and development agreement. The funding will help Amkor expand U.S. packaging capacity at its Arizona campus as both companies work on next-generation packaging and test technologies for AI and accelerated computing. The partnership will focus on high-density interconnects and heterogeneous integration, which are key for combining multiple chips and components into more powerful systems. 6. The top 10 most active options today by contracts traded were $TSLA with 3.6M contracts, $NVDA with 2.4M contracts, $GOOGL with 994K contracts, $AMZN with 940K contracts, $SPCX with 917K contracts, $AAPL with 732K contracts, $INTC with 706K contracts, $MU with 664K contracts, $GOOG with 560K contracts, and $MSFT with 532K contracts. 7. South Korea is moving to tighten rules around leveraged single-stock ETFs and ETNs beginning July 31. Retail investors will now need about $20,300 in cash to open or add to a position, up from roughly $6,800 previously. The key change is that stocks, bonds, and other securities will no longer count toward the deposit requirement, making it harder for retail traders to access these leveraged products. 8. U.S. mortgage rates rose for the third straight week, with the average 30-year fixed climbing to 6.58%, putting rates back near their highest level in a year. 9. AMD $AMD and Cerebras $CBRS are teaming up on a disaggregated AI inference architecture that divides workloads between both platforms. In the setup, AMD Helios manages prompts and long-context processing, while Cerebras’ Wafer-Scale Engine focuses on ultra-low-latency token generation. The companies say the combined system can deliver up to 5x more tokens per second per watt than Cerebras alone, with initial availability expected through Cerebras Cloud in the second half of 2026. 10. Uber $UBER cut 10% of roles in its customer service operations as it restructures the division and leans further into AI. The company said fragmented workflows were making it harder to roll out AI at scale, and this marks Uber’s first layoff round specifically tied to AI-driven efficiency. 11. SpaceX $SPCX is reportedly turning away satellite operators looking for dedicated Falcon 9 launches beyond 2028 as the company shifts more of its long-term launch strategy toward Starship, per Bloomberg. SpaceX has also stopped taking future Falcon 9 rideshare reservations and has paused production of some expendable Falcon components, though Falcon 9 is still expected to remain active for NASA and Pentagon missions. The risk is timing: if Starship is not commercially ready by 2028, the market could face a major launch-capacity gap, creating a bigger opening for competitors like Rocket Lab, Blue Origin, and ULA. 12. Meta’s $META new $12B Texas data center financing, tied to a nearly 1GW project, is reportedly being discussed at yields above 7%. That is roughly 40 bps higher than Meta’s $27B Hyperion financing from just nine months ago, adding about $48M in annual interest expense. Hyperion bonds are now trading around 96 cents on the dollar, showing how financing costs for massive AI infrastructure projects are starting to move higher. WALL STREET IS THE GREATEST SHOW ON EARTH.
@Thomus0x eh, Rosenblatt June 30 note identified AMD as the likely first $AAOI CPO customer. I wouldn't quite say they aren't remotely close. $LITE / $COHR / $SIVE just look like your top 3 right now in terms of CPO laser visibility per the recent Morgan Stanley note.
@88magalhaes Main thing was executive commentary on CPO thematically. Regarding $AMD + hyperscaler adoption + timelines. Checks were very positive for the CPO segment that sold off on delay news. And very positive for $SIVE in that segment, since they're the laser supplier for Ayar, $GFS, that are both linked with possible $AMD CPO routes. But couldn't get direct supplier confirmation since that's confidential.
From $AMD Advancing AI, channel checks: Helios networking partners told me they expect AMD to pursue CPO for future generations of Helios scale up networking. And expects other hyperscalers + industry to go down the CPO route. One AI infra executive at a company involved in a hyperscaler CPO programs said they had seen no indication of CPO scale up supply chain delays. Pushing back on recent 3rd party delay reports. This was informal commentary, not official AMD or partner guidance.
$CBRS is stacking partnerships at a pace that's hard to ignore, and this week alone tells the story. Two days ago it was $CRWD. Cerebras inference now powers Falcon AI Detection and Response, putting the world's fastest inference behind real-time cybersecurity, while CrowdStrike becomes Cerebras's own security platform. Their CISO's framing was perfect, every millisecond decides whether AI prevents an attack or explains it afterward. Today it's $AMD. A combined platform built to deliver faster AI inference, adding another major contender to the race for premium inference workloads. The second largest GPU maker on earth choosing to build with Cerebras instead of against them. Now zoom out and look at what the partner list has become. Over $20 billion in agreements with OpenAI, with GPT models literally running on Cerebras systems today. A deal with $AMZN pairing Trainium chips with Cerebras so any AWS customer can tap their inference speed. $FLEX expanding American manufacturing of their supercomputers. 200MW of European capacity coming by end of 2027. And now $CRWD and $AMD in the same week. There's a pattern here. Cerebras isn't trying to beat the ecosystem, the ecosystem keeps plugging Cerebras in. Their wafer-scale chips run inference up to 15x faster than GPUs, and in the inference era, speed is the product. Every AI agent, every security model, every real-time application wants the fastest possible response, and the whole industry keeps routing to the same answer. Inference is where AI creates value. Cerebras sells the speed, and everyone keeps buying.
$INTC and $AMD to sign CPU LTAs with Chinese customers for AI DCs (Reuters). - Prices of some CPU products have risen more than 40% in China since the start of the year from sources. - Month-on-month increases topping 10% for some products CPUs were already a bottleneck, following CPU ratios due to AI inference... But the broader trend of LTAs seems to be appearing from: - Memory, with $MU, Samsung, $SNDK, and SK Hynix signing DRAM/NAND LTAs. - Photonics, with $LITE, $COHR signing EML LTAs. And recent Trendforce reports that $AMD and hyperscalers are now pursuing CW LTAs. And I'm sure there's many more from MLCCs to all the way to substrates. +1 for the bottleneck investors... hard to be a "bubble that pops" if you have take or pay demand spanning multiple years.
"BEIJING, July 23 (Reuters) - U.S. chipmaking giants Intel and Advanced Micro Devices are signing longer-term purchase commitments with Chinese server customers for data-centre processors as prices surge, two people familiar with the talks said." "Server CPU prices are still climbing in China, with month-on-month increases topping 10% for some products, one of the sources said. Prices of some CPU products have risen more than 40% in China since the start of the year, the source added. Reuters reported earlier this year that Intel and AMD had notified Chinese customers of lengthy waits for server CPUs, with Intel lead times reaching as long as six months for some products."
A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Alphabet $GOOGL delivered a massive Q2 2026, with revenue up 24% YoY to $119.8B and operating income rising 30% YoY to $40.8B. Search revenue grew 17% YoY to $63.3B, while Google Cloud had its fastest growth quarter ever, surging 82% YoY to $24.8B and producing $8.8B of operating income. Net income jumped 298% YoY to $112.1B. On the AI side, the Gemini app reached 950M monthly active users, and Gemini models are now processing 22B API tokens per minute. The one major drag was free cash flow, which turned negative at -$5.8B, marking Google’s first negative FCF quarter in years. Still, this was the company’s strongest revenue acceleration in 3 years, driven by explosive cloud growth and rising AI usage. 2. AMD $AMD and Anthropic have reportedly signed an AI server deal worth tens of billions of dollars, per WSJ. Under the agreement, Anthropic would buy up to 2GW of AMD’s latest-generation Instinct MI450 chips beginning in the first half of 2027. AMD also plans to invest up to $5B in Anthropic as deployment milestones are reached, and is reportedly discussing a potential financial backstop for Anthropic’s future data center leases. The deal marks another major push by AMD to deepen its AI infrastructure footprint and compete more directly with Nvidia. 3. President Trump said the U.S. will respond to any Iranian attack on ships in the Strait of Hormuz by bombing and destroying one Iranian bridge or power plant each time it happens. Trump said the policy applies “from this point forward” and could include infrastructure located near or inside Tehran. 4. Tesla $TSLA reported a mixed Q2, with revenue beating at $28.24B vs $26.32B expected, up 26% YoY, but profitability coming in weaker as adjusted EPS was $0.33 vs $0.51 expected, gross margin was 16.8% vs 19.4% expected, and operating margin fell to 1.4% vs 5.4% expected. Automotive revenue grew 23% YoY to $20.52B, deliveries rose 25% YoY to 480,126, production increased 10% YoY to 451,758, and free cash flow was -$1.09B, better than the -$3.25B estimate. Tesla ended the quarter with $43.52B in cash and investments, while GAAP net income was $1.11B, helped by a $1.01B unrealized gain on its SpaceX investment. The bigger story was AI and autonomy: Cybercab production began at Gigafactory Texas, Robotaxi is now operating across seven major U.S. metros, active FSD subscriptions reached 1.48M, up 56% YoY, and more than 55% of new North American deliveries included an FSD subscription. Tesla also said Optimus production lines are being installed for expected production in 2026. 5. Nvidia $NVDA CEO Jensen Huang pushed back on fears around Kimi K3, DeepSeek, and China’s open-source AI models, saying U.S. companies should be allowed to use them because developers can download, fine-tune, and guardrail the models themselves. Huang said Chinese open-source models are “excellent” and argued the market misunderstood DeepSeek the first time and is now misunderstanding Kimi. His broader point is that strong open models should expand overall AI usage, not hurt closed models, and that more AI usage ultimately means more Nvidia systems, more data centers, and more demand for accelerated compute. 6. The top 10 most active options today by contracts traded were $NVDA with 5.1M contracts, $AAPL with 1.2M contracts, $TSLA with 844K contracts, $AMZN with 828K contracts, $MU with 803K contracts, $SMCI with 746K contracts, $SPCX with 745K contracts, $MSFT with 722K contracts, $INTC with 548K contracts, and $PLTR with 540K contracts. 7. Google $GOOGL raised its FY26 capex outlook to $195B–$205B, up from $180B–$190B, as the company pulls forward capacity to keep up with stronger demand. Google said only a small portion of revenue from existing TPU system sales agreements is expected to be recognized in 2026, with most of it flowing through in 2027. Because of supply constraints, Google also plans to lean more on third-party capacity in Q3 as a temporary bridge, which could create some modest near-term margin pressure. 8. ServiceNow $NOW delivered a strong Q2, beating on revenue, EPS, cRPO, and operating margin while raising its FY26 outlook. Total revenue came in at $3.99B vs $3.92B expected, up 24% YoY, with subscription revenue up 24.5% YoY to $3.88B. Adjusted EPS was $0.90 vs $0.86 expected, and cRPO reached $13.2B, up 21% YoY and ahead of estimates. The company raised FY26 subscription revenue guidance to $15.76B–$15.78B, while guiding for 81% subscription gross margin, 31.5% operating margin, and 35% free cash flow margin. AI was the biggest highlight, with ServiceNow AI ACV crossing $1B in Q2 and agentic deployments increasing 9x in just nine months. RPO rose to $29B, customers above $5M in ACV grew 23% YoY to 658, and deals over $1M in ACV jumped roughly 40% YoY to 123. 9. Stripe generated $3.2B in free cash flow in 2025, up 52%, as revenue climbed roughly one-third to $6.8B, its fastest growth since 2021, according to The Information. The company also reached $2B of revenue in Q1 2026. Stripe’s momentum is being helped by AI customers, with the company processing subscription and usage-based payments for OpenAI, Anthropic, and other AI companies. Its billing, invoicing, and tax products are also tracking toward a $1B annual run rate this year. That level of cash generation gives Stripe more flexibility to keep expanding, following its acquisitions of Metronome and Bridge, plus the reported Stripe and Advent International offer of more than $53B for PayPal $PYPL. 10. Apple $AAPL is reportedly gearing up for a major Mac refresh cycle starting this fall and continuing through 2027, per Bloomberg. The first wave is expected to include an M6 14-inch MacBook Pro and updated iMacs, followed later by redesigned 14-inch and 16-inch MacBook Pros featuring OLED touchscreens. Apple is also working on new MacBook Air, MacBook Neo, Mac mini, and Mac Studio models, though some release timing may depend on memory-chip availability. 11. Baird reiterated Nebius $NBIS at Outperform with a $250 price target, arguing the company is well positioned as AI workloads shift from training toward inference. The firm’s bullish view is built around Nebius’ full-stack platform, strong software attach, expanding customer base, sector-leading growth, and experienced team from the Yandex carve-out. Baird also said Nebius is moving quickly to strengthen its stack through high-quality acquisitions, helping it compete in a fast-changing AI infrastructure market. 12. OpenAI is now reportedly forecasting roughly $750B of compute spending through 2030, up from about $600B earlier this year, as it continues locking down cloud and data center capacity, per WSJ. The company also announced a $20B initial investment in Project Camellia in Georgia, where OpenAI will serve as lead designer and developer for the first time, with 3.2GW of power contracted between 2028 and 2032. Other reported infrastructure commitments include 6GW with Oracle, $138B over eight years with AWS, and another $250B tied to Microsoft Azure. WALL STREET IS THE GREATEST SHOW ON EARTH.
Coincidentally AMD has a product named Verano. Competing with Nvidia's Vera CPU. The pun, Vera No writes itself. It's attached to MI500. It is on 2nm, and generally has more cores, memory. We described it back here in February. https://t.co/Fz6fps7iM8
Hey remember when AMD signed a deal like this with OpenAI and absolutely nothing happened? I guess the investment side is new
$AMD to invest $5B in Anthropic. Anthropic in turn will sign a 2 GW deal to buy AMD’s latest chips, worth tens of billions of dollars. Looks like they’re copying the $NVDA playbook with Anthropic last year. https://t.co/SXBUq65u6P
WSJ: "Advanced Micro Devices and Anthropic have signed a deal for tens of billions of dollars’ worth of artificial-intelligence servers, strengthening AMD’s competitive position against industry leader Nvidia and supplying Anthropic with much needed computing power. Under the terms of the agreement, Anthropic will purchase up to 2 gigawatts of AMD’s latest-generation chips, called the Instinct MI450, starting in the first half of 2027. AMD will also invest up to $5 billion in Anthropic—its first check into the AI firm—as certain deployment milestones are met."
@CarterChen18 Think $AMD was in talks of being a customer of $AAOI, from Rosenblatt channel checks. Could be an option, I'll ask around in the event. https://t.co/8eDrSw9tCe
It's slightly more nuanced. Basically, $AMD SF event is tomorrow, Wed/Thurs (July 22, 23). From Jefferies client note, AMD is expected to provide additional disclosures around their likely scale-up CPO roadmap + MI500. If they confirm CPO route, would positive thematically since it's not just $NVDA forcing the transition. As for $SIVE, we'll get a better read if they're directly in AMD supply chains. Since right now, it's possible to map it through $GFS (reportedly involved in AMD MI500 CPO work) or AYAR (which AMD invested in). But no formal confirmations. So if you're turning in: - CPO thematic positive: MI500 explicitly commits to CPO/optical UALink. - AMD gives details using Ayar Labs or GF SCALE for MI500 CPO: That would be extremely positive for $SIVE, given they're the upstream laser supplier / reference laser. Currently, Blayne Curtis from Jefferies expect AMD to work with $ALAB on UAL and $AVGO on ESUN... but juicy details are here: "We are looking for whether AMD commits to a CPO based scale up solution and who supplies the optical engine" We'll get a broader read through on the supply chain come Wednesday/Thursday, too early to tell today.
A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Google $GOOGL is developing a new AI chip that could run Gemini models 6x to 10x more efficiently than its latest TPUs, per The Information. The chip, internally called “Frozen v2,” would bake parts of Gemini’s architecture directly into silicon, reducing data movement and simplifying inference decisions. Google is targeting deployment as early as 2028 to help ease its AI compute shortage, though the design would trade flexibility for major gains in speed and power efficiency. 2. Microsoft $MSFT is expanding its partnership with AMD $AMD and will deploy AMD’s Helios rack-scale systems on Azure for frontier AI inference. The platform combines MI455X GPUs, Venice CPUs, Pensando networking, and ROCm software, with shipments to Microsoft beginning in the second half of 2026. Azure will also add new AMD-powered virtual machines for agentic AI, data pipelines, and semiconductor design, marking a broader adoption of AMD’s full AI infrastructure stack. 3. AUM in U.S. leveraged semiconductor ETFs has fallen $63B from the June peak to $100B, the lowest level since late April. That marks a 39% decline, the largest drawdown since April 2025, when assets more than halved from their August high. The semiconductor unwind accounts for 63% of the broader $100B drop in AUM across all U.S. leveraged ETFs over the same period. The selloff follows a massive ramp, with assets in these funds nearly tripling between late March and the June peak. Even after the pullback, leveraged semiconductor ETF assets are still up 400% from January 2023 levels. 4. Archer $ACHR and Anduril unveiled Thunder, an autonomous attack VTOL aircraft, with first flight planned for 2027. The runway-independent hybrid-electric aircraft is designed to operate autonomously alongside crewed attack and assault aircraft. The dual-use platform features tiltrotors and modular payloads for both defense and commercial missions. Full-scale surrogate flights have already been completed, and Archer plans to announce its first commercial customers later this week. 5. Chinese AI models are taking record share among U.S. firms on OpenRouter. The proportion of tokens used by American companies running through Chinese models has climbed to roughly 58%, a record high. OpenRouter lets developers access and compare models from multiple providers, making it a useful real-world signal of AI model adoption. Chinese model usage has tripled since mid-January, overtaking U.S. peers on the platform for the first time in March and briefly hitting 63% in early July. At the start of 2025, Chinese models were under 10% of usage, while U.S. models were around 80%. DeepSeek has become the most popular choice among American firms in recent months. 6. The top 10 most active options today by contracts traded were $NVDA with 3.1M contracts, $TSLA with 2.4M contracts, $AAPL with 1.8M contracts, $MU with 951K contracts, $MSFT with 884K contracts, $AMZN with 691K contracts, $INTC with 640K contracts, $SPCX with 606K contracts, $AMD with 506K contracts, and $GOOGL with 492K contracts. 7. BofA reiterated its Buy rating on CoreWeave $CRWV with a $140 price target. Analyst Tal Liani raised FY26 capex estimates to $34B from $29B, saying capex remains a key indicator of buildout progress and hardware pricing. BofA expects Q2 operating margin of 2.4%, slightly below the Street at 2.8%, but sees margins improving through the rest of the year as active power drives revenue recognition. By Q4, BofA expects operating margin to reach 14.6%, up from 1.0% in Q1, showing strong operating leverage. The firm also pushed back on competition concerns from SpaceX and Meta, arguing AI compute demand still far exceeds supply, making access to capacity the real bottleneck rather than provider choice. 8. IREN $IREN raised its 2026 AI Cloud ARR target to over $4B, up from its prior target of $3.7B. The company announced new AI cloud contracts representing $2.8B in total contract value, with approximately 85% of the updated ARR target now under contract. Goldman Sachs estimates the newly announced contracts represent an additional roughly $1B in contracted revenue with an average term of around 3 years. IREN also said recent agreements include customer prepayments covering about 45% of GPU capex, with customer contracts having a weighted average term of approximately 4 years. 9. UBS says Micron $MU could repurchase more than 40% of its shares by the end of 2028. The firm expects Micron to generate over $40B in free cash flow through 2028, and once its buyback restriction expires on December 9, 2026, UBS says the company could potentially use that cash to buy back more than 40% of its shares at the current price. Morgan Stanley said that memory stocks are trading at attractive prices but their best risk to reward names in the semi space are $NVDA Nvidia and $AVGO Broadcom. 10. Bloom Energy $BE shares are trading lower after New Mexico regulators rejected permits for a gas pipeline planned to supply Oracle’s Project Jupiter data center for the second time. The decision could delay the campus, which is expected to use up to 2.5GW of Bloom Energy’s gas-powered fuel cells. Energy Transfer may now pursue an alternative pipeline route. 11. Intel $INTC plans additional layoffs in its data center group as part of a broader effort to become a more focused and efficient company, CNBC reports. Intel said the unit is realigning roles and skills for long-term success, though the number of affected employees was not disclosed. 12. Trump signed three proclamations under Section 338 of the Tariff Act of 1930 imposing additional 50% tariffs on certain Canadian goods in response to what the White House calls Canada’s discriminatory treatment of U.S. products. The tariffs cover different categories of Canadian imports, including products ranging from wine to hockey sticks to cement, and apply even if goods originate under USMCA. Exemptions include energy, potash, goods already subject to Section 232 tariffs, fish, critical minerals, and certain other products. The tariffs take effect 30 days after signing. WALL STREET IS THE GREATST SHOW ON EARTH,
Although price action has been a bit weak today, some very bullish datacenter/capex news over the past 24 hours... - $IREN signed $2.8B of deals with AI labs, bullish compute - Kimi K3 said over the weekend they are pausing subscriptions because of demand which seems to be entirely consumer and not enterprise yet, bullish compute - $HUT got a 15-year $9.8B deal today, bullish compute - $MSFT is expanding their partnership with $AMD and buying more chips, bullish compute - The Information reported that $GOOGL is developing a new chip to use in-house called Frozen V2, they will have to use many of the chip suppliers in the stack to build more chips, bullish compute The CapEx sentiment shift hasn't gone back to normal and Google earnings this week will be the first test to reaffirm the market's expectations of capex, but plenty of new deals and announcements that continue to be bullish on compute constraints and the trade associated with them overall.