$SMCI

@aleabitoredditMay 17, 2026 · 1:56 PM

I'm 100% sure if I met all you "photonic memory" experts in real life. 498 out of 500 of you couldn't explain CXL memory pooling or KV cache infrastructure and what $PENG actually does to derive revenue off that. This is why I'm seeing all these random $RKLB, $HIMS, or non technical AI experts on my timeline now. Backseat commenting completely wrong things about M7U MOCVD capex and $TSEM that aren't related. Or conflating every single term like an $SMCI integrator with photonics IP. Then just pitching buzzwords every under every one of my posts.

@aleabitoredditMay 17, 2026 · 8:55 AM

@vz921 They have low P/S ratios because it's an $SMCI $DELL $FLNC type integrator. Then they just throw in photonic memory when they build the appliance around it, then compare it to core semiconductor IP holders. It's annoying seeing stuff like this all over X. https://t.co/PyqMGpZZHX

@aleabitoredditMay 17, 2026 · 8:17 AM

Very nuanced. People buying $PENG for $MRVL "photonic memory" are likely to be disappointed. They're on the $SMCI integrator level with potential software add. The high margin, foundational IP belongs to companies like Celestial or others like Lightmatter. What they do is build a 2U box, inside the rack, around Celestial/Marvell's the photonic memory IP. It's also in the development collaboration stage. Retail just misunderstand the different layers and conflate them all as this company building core photonic memory IP. Not commenting on the potential price, but it's a legitimate idea for its base business. And upside would be material if they go past sampling. Just annoying when I get comments about "PHOTONIC MEMORY". Then they're building the chassis that the actual photonic memory IP sits inside and not even in qualification stage.

@investmentguru_May 10, 2026 · 11:26 AM

The Complete Data Center Stack: Where the AI Infrastructure Money Flows Most investors still think AI is just about GPUs. That’s incomplete. AI is an infrastructure buildout, and the real opportunity spans the entire data center stack. Every inference, every training run, and every deployed model depends on multiple layers working together. Here’s the breakdown: 1. Compute Silicon (The Brain) Tickers: $NVDA, $AMD, $AVGO, $INTC This is the foundation. GPUs, CPUs, accelerators, and custom silicon power training and inference. Why it matters: - Compute demand keeps rising with larger models - AI workloads are forcing faster chip innovation - Custom ASICs are becoming a major trend 2. Server OEMs & Solutions (The Hardware Layer) Tickers: $SMCI, $DELL, $HPE, $VRT, $ETN, $MOD Chips need systems. These companies assemble and deliver the physical AI servers and power systems. Why it matters: - AI racks are denser and hotter - Power distribution is now critical - Cooling is becoming a competitive advantage 3. Memory & Storage (The Hidden Bottleneck) Tickers: $SNDK, SK Hynix, $MU, $WDC, $P, Samsung, $NTAP AI models consume massive amounts of memory bandwidth and storage. Why it matters: - High-bandwidth memory is becoming strategic infrastructure - Data storage demand rises with AI deployment - Faster access = better model performance 4. Networking & Connectivity (The Nervous System) Tickers: $ANET, $CSCO, $MRVL, $CRDO, $CIEN, $NOK AI clusters must communicate at ultra-high speed. Why it matters: - Faster networking reduces latency - Data movement is becoming expensive - Scale depends on interconnect efficiency Key idea: AI cannot scale without bandwidth. 5. Neoclouds & Physical Infrastructure (The New Builders) Tickers: $NBIS, $IREN, $CRWV, $APLD $CIFR $DGXX These companies provide specialized AI infrastructure and hosting. Why it matters: - Cloud alternatives are growing - AI-native infrastructure is becoming valuable - Capacity shortages create pricing power 6. Energy (The Ultimate Constraint) Tickers: $CEG, $NEE, $EOSE, $GEV, $EQT, $VST $OKLO $BE $FLNC AI consumes enormous electricity. Power availability is becoming a limiting factor. Why it matters: - Grid demand is surging - Battery storage is essential - Reliable baseload power matters Final Thought The market often focuses on one winner. But AI infrastructure is an ecosystem. If you want to understand where capital flows next, follow the stack: Compute → Servers → Memory → Networking → Infrastructure → Energy The biggest winners in the AI cycle may not always be the obvious names. Sometimes the best opportunities are in the supporting layers that make the whole system possible.

@thevalueistMay 6, 2026 · 12:28 PM

$SMCI KEY READ-THROUGHS FROM SUPER MICRO COMPUTER INC. Q3 FY26 EARNINGS CALL Super Micro’s Q3 FY26 call is a broad AI infrastructure signal, not merely a company-specific earnings event. The core message is that AI compute demand remains strong, but the bottleneck is shifting from GPU demand to physical deployment readiness: power, cooling, networking, optical interconnect, component availability, working capital, and compliance. Revenue was delayed because “several customers’ sites were not yet equipped with the power and networking required for their cloud deployment,” while AI GPU platforms still represented more than 80% of revenue and backlog reached another record high. The highest-conviction positive read-throughs are to AI accelerator demand, memory and SSD pricing, data-center power/cooling, networking, optical interconnect, and power-ready colocation capacity. The highest-conviction negative read-throughs are to working-capital-intensive server assemblers, under-supplied CPU platforms, AI cloud operators without ready facilities, and hardware-channel participants exposed to export-control scrutiny. Source material: Super Micro Computer Inc. Q3 FY26 earnings call transcript. AI ACCELERATORS AND SYSTEM SILICON NVIDIA RACK-SCALE DEMAND REMAINS INTACT DESPITE SMCI REVENUE TIMING NOISE (READ-THROUGH 1) Affected companies and impact: NVIDIA (NVDA: US), positive, high magnitude. Advanced Micro Devices (AMD: US), positive, medium magnitude. Broadcom (AVGO: US), positive, medium magnitude through AI networking and platform ecosystem exposure. Transcript support: Super Micro disclosed that “AI GPU-related platforms” contributed more than 80% of Q3 revenue, that orders and backlog remained strong, and that backlog reached “another record high.” Management also stated it is “currently shipping many SKUs of the latest rack-scale systems, including GB300 NVL72, many B300 HGX SKUs, B200 NVL4,” and is preparing to be “among the first to market with the new Vera Rubin systems.” On vendor allocation risk, management said its relationships with “NVIDIA, AMD, Intel, Broadcom” remain strong and the CFO added, “there’s been no change in allocation.” Transmission mechanism: The call supports the view that AI accelerator demand is not the primary problem. The revenue miss was attributed to customer site readiness and component constraints, not order cancellations or a GPU demand slowdown. For NVIDIA, the key signal is that customers continue to order high-end rack-scale GPU systems and Super Micro continues to prepare for next-generation NVIDIA platforms. This reinforces durability of the Blackwell/GB300-to-Rubin transition and reduces fear that SMCI’s legal and compliance issues are impairing NVIDIA allocation. For AMD, the read-through is positive but smaller because management cited “strong momentum” for AMD MI350 and preparation for AMD Helios with EPYC Venice and MI400, but NVIDIA remains the explicitly dominant ecosystem partner and likely the largest GPU content driver. Near-term trading catalyst: The “no change in allocation” comment is a direct de-risking catalyst for NVIDIA and, to a lesser extent, AMD and Broadcom. It addresses investor concern that Super Micro’s compliance investigation could disrupt supplier relationships or GPU access. It also supports near-term AI accelerator sentiment despite SMCI’s revenue miss. Longer-duration fundamental shift: The larger structural read-through is that AI accelerator demand is increasingly rack-scale and system-level rather than card-level. NVIDIA’s value capture should remain strong if the industry continues moving toward tightly integrated GB300/Rubin-class rack systems. AMD has a credible second-source opportunity if MI350, MI400, and Helios adoption broadens, but the call does not provide enough evidence to call a share shift away from NVIDIA. INTEL SERVER CPU SHORTAGES CREATE A NEGATIVE EXECUTION SIGNAL AND A SHARE OPENING FOR AMD/ARM-BASED PLATFORMS (READ-THROUGH 2) Affected companies and impact: Intel (INTC: US), mixed to negative, medium magnitude. Advanced Micro Devices (AMD: US), positive, medium magnitude. Arm Holdings (ARM: US), positive, low-to-medium magnitude. Transcript support: Management said component shortages include “some CPU shortage, especially from Intel.” The company also said it is working with Intel on “upcoming Xeon 6 plus platforms,” while separately highlighting AMD MI350 momentum, AMD Helios with EPYC Venice and MI400, and “ARM AGI GPU-based solutions.” Transmission mechanism: The Intel read-through is not simply that demand is strong. In AI servers, CPU availability can gate shipment timing, customer qualification, and rack integration. If Intel CPU supply is a bottleneck, server OEMs and AI infrastructure customers have an incentive to qualify alternative CPU platforms, particularly AMD EPYC-based systems and ARM-based architectures optimized for performance per watt. Intel still has positive demand support from inclusion in upcoming Xeon 6 platforms, but the explicit “especially from Intel” shortage language is a negative execution signal. Near-term trading catalyst: Intel supply commentary could pressure confidence in server CPU execution if other OEMs report similar constraints. Conversely, evidence that Intel supply normalizes would reduce the negative read-through. Longer-duration fundamental shift: AI infrastructure is encouraging platform diversification. If GPU, power, and cooling constraints already make deployment complex, customers may increasingly prefer suppliers with reliable full-platform availability. This is incrementally favorable to AMD and ARM ecosystem penetration if Intel cannot consistently supply CPUs into AI server ramps. MEMORY AND STORAGE MEMORY AND SSD PRICING POWER IS STRONGER THAN SERVER OEM MARGINS SUGGEST (READ-THROUGH 3) Affected companies and impact: Micron Technology (MU: US), positive, high magnitude. Samsung Electronics (005930: South Korea), positive, medium-to-high magnitude. SK Hynix (000660: South Korea), positive, high magnitude. Server OEMs and ODMs including Super Micro Computer (SMCI: US), Dell Technologies (DELL: US), Hewlett Packard Enterprise (HPE: US), Quanta Computer (2382: Taiwan), Wiwynn (6669: Taiwan), Wistron (3231: Taiwan), and Hon Hai Precision (2317: Taiwan), negative margin and working-capital impact, medium magnitude. Transcript support: Management said memory and SSD prices have increased “double, triple, more than triple” over the last 6 months and that shortages “may continue” for an uncertain period. Super Micro also cited memory among the key component shortages affecting the quarter. Transmission mechanism: The positive read-through to memory and SSD suppliers is direct: shortages and sharp price increases imply strong ASPs, favorable mix, and better earnings power for suppliers with available capacity. The negative read-through to server OEMs and ODMs is equally direct: higher memory and SSD costs raise bill-of-materials value, increase inventory dollars, and pressure gross margin unless fully passed through to customers. For AI servers, the dollar content of memory and storage is large enough that even margin-neutral pass-through can materially inflate working-capital requirements. Near-term trading catalyst: Memory and NAND pricing commentary from large AI server integrators should support near-term sentiment for Micron, Samsung, and SK Hynix, especially if other infrastructure companies confirm similar shortages. For server OEMs, the catalyst is negative if management teams acknowledge lagged pass-through, inventory inflation, or gross-margin pressure from component prices. Longer-duration fundamental shift: AI server architecture structurally increases memory intensity, storage throughput needs, and high-performance component content. The call supports a profit-pool shift toward scarce upstream components and away from low-margin system assembly unless OEMs attach higher-value services, software, or data-center infrastructure. DATA CENTER POWER, COOLING, AND ELECTRICAL INFRASTRUCTURE POWER AND COOLING ARE THE MOST IMPORTANT PHYSICAL BOTTLENECKS IN AI INFRASTRUCTURE CONVERSION (READ-THROUGH 4) Affected companies and impact: Vertiv Holdings (VRT: US), positive, high magnitude. Eaton (ETN: US), positive, high magnitude. Schneider Electric (SU: France), positive, high magnitude. ABB (ABBN: Switzerland), positive, medium-to-high magnitude. Legrand (LR: France), positive, medium magnitude. nVent Electric (NVT: US), positive, medium magnitude. Transcript support: Super Micro said Q3 revenue was delayed because several customer sites were not ready with the “power and networking required for their cloud deployment.” Management described DCBBS as including “complete liquid cooling facility,” “cooling units,” “power shelves,” “battery backup,” and other data-center subsystems. It also highlighted direct liquid cooling leadership, DLC2 subsystems, and facilities designed for next-generation high-density racks. Transmission mechanism: The call confirms that AI infrastructure revenue is increasingly gated by power delivery, cooling capacity, and facility-level readiness rather than demand. Companies providing thermal management, power distribution, UPS, switchgear, electrical systems, busway, and high-density data-center infrastructure benefit because their products determine whether expensive GPU racks can go live. For Vertiv, Eaton, Schneider, ABB, Legrand, and nVent, the transmission mechanism is higher demand for mission-critical electrical and cooling infrastructure, larger project sizes, and stronger pricing or backlog visibility in high-density data-center builds. Near-term trading catalyst: Any incremental evidence of customer site delays because of power or cooling should be read positively for these suppliers, particularly if hyperscalers, neoclouds, or server OEMs continue to cite deployment bottlenecks. The catalyst is especially strong for Vertiv and Eaton given their more direct exposure to data-center thermal and electrical systems. Longer-duration fundamental shift: AI factories are migrating from conventional air-cooled server rooms toward liquid-cooled, power-dense, rack-scale facilities. This structurally increases content per megawatt for electrical and thermal infrastructure suppliers. The call reinforces that the bottleneck is not merely grid generation; it is the entire chain from power delivery to rack-level cooling and validation. NETWORKING, SWITCHING, AND OPTICAL INTERCONNECT NETWORKING IS A DEPLOYMENT GATE, NOT A SECONDARY ATTACH MARKET (READ-THROUGH 5) Affected companies and impact: Arista Networks (ANET: US), positive, high magnitude. Broadcom (AVGO: US), positive, high magnitude. Marvell Technology (MRVL: US), positive, medium magnitude. Coherent (COHR: US), positive, medium magnitude. Fabrinet (FN: US), positive, medium magnitude. Cisco Systems (CSCO: US), positive but mixed, low-to-medium magnitude depending on AI data-center share. Transcript support: Super Micro said delayed customer sites lacked required “networking” for cloud deployment. Management also said its new Silicon Valley DCBBS campus will support “next-generation networking solutions, including advanced optical photonics-based devices,” and specifically referenced Broadcom among long-standing vendor relationships. Transmission mechanism: The read-through is that AI infrastructure bottlenecks are broadening from compute to network fabric. GPU clusters only monetize once high-speed switching, optics, cables, transceivers, and validation are available at scale. Arista benefits from AI Ethernet switching demand. Broadcom benefits from switch silicon, custom silicon, and networking ecosystem exposure. Marvell benefits where optical, interconnect, and custom silicon content rises. Coherent and Fabrinet benefit from higher optical module and photonics manufacturing intensity. Near-term trading catalyst: SMCI’s networking-readiness language should support trading sentiment for AI networking and optical suppliers ahead of their own order/backlog updates. Any confirmation that GB300/Rubin-scale racks require more advanced networking and optics would reinforce the positive read-through. Longer-duration fundamental shift: The AI data-center profit pool is moving from standalone servers to validated compute-network-cooling systems. Networking and optics become part of the critical path for time-to-online, increasing strategic value for suppliers with high-speed interconnect capability. AI SERVERS, ENTERPRISE HARDWARE, AND ODMs ENTERPRISE AI SERVER DEMAND IS BROADENING AND SHOULD SUPPORT HIGHER-QUALITY REVENUE MIX FOR ENTERPRISE-FOCUSED OEMs (READ-THROUGH 6) Affected companies and impact: Dell Technologies (DELL: US), positive, medium-to-high magnitude. Hewlett Packard Enterprise (HPE: US), positive, medium magnitude. Lenovo Group (0992: Hong Kong), positive, medium magnitude. Super Micro Computer (SMCI: US), positive, high magnitude but company-specific execution risk remains. Transcript support: Super Micro’s enterprise channel revenue was $2.8B, representing 28% of revenue versus 15% in the prior quarter. Enterprise revenue was up 46% YoY and 45% QoQ. Management said enterprise demand includes both “AI enterprise” use cases, including “agentic AI” inference, and traditional server, storage, and IoT demand. Transmission mechanism: This is a positive read-through to enterprise-exposed OEMs because AI server demand is broadening beyond a small number of hyperscale and neocloud customers. Enterprise customers tend to require integration, support, lifecycle services, storage, networking, and consulting, which can carry better margins than transactional large-scale server builds. Dell, HPE, and Lenovo can benefit if enterprise AI infrastructure adoption accelerates and customers prioritize validated solutions, service attach, and deployment support. Near-term trading catalyst: Enterprise AI order commentary from Dell, HPE, and Lenovo should be scrutinized for evidence that SMCI’s enterprise strength is market-wide rather than company-specific. Positive order growth with stable or improving margins would validate the read-through. Longer-duration fundamental shift: The market may be moving from AI server procurement by a few megacap or neocloud customers to broader enterprise AI infrastructure adoption. That shift should reduce cyclicality, improve mix, and increase the value of services and support. The offset is competitive: SMCI’s enterprise traction and DCBBS push could pressure share at incumbent OEMs if SMCI sustains faster time-to-online or better rack-scale integration. PURE HARDWARE ASSEMBLY LOOKS INCREASINGLY CASH-INTENSIVE AND MARGIN-VOLATILE (READ-THROUGH 7) Affected companies and impact: Quanta Computer (2382: Taiwan), mixed to negative, medium magnitude. Wiwynn (6669: Taiwan), mixed to negative, medium magnitude. Wistron (3231: Taiwan), mixed to negative, medium magnitude. Hon Hai Precision (2317: Taiwan), mixed to negative, low-to-medium magnitude. Inventec (2356: Taiwan), mixed to negative, low-to-medium magnitude. Super Micro Computer (SMCI: US), negative, high magnitude on cash conversion despite positive demand. Transcript support: Super Micro reported negative operating cash flow of $6.6B, negative free cash flow of $6.7B, closing inventory of $11.1B, net debt of $7.5B, and a cash conversion cycle that increased from 54 days to 106 days. Management said operating cash flow was affected by a $10B reduction in accounts payable and a $581M increase in inventory. Management also said that if the company tries to “double again revenue,” it “may need some more help in terms of capital.” Transmission mechanism: ODMs and server assemblers benefit from AI server volume, but the call highlights that volume growth can be low-quality if it requires massive inventory, receivables, and payables swings. High-value GPUs, memory, SSDs, CPUs, networking gear, and rack components increase inventory dollars even when unit volumes are stable. If customers are not site-ready, suppliers can carry inventory and delayed receivables while incurring financing costs. This dynamic weighs on free cash flow, balance sheets, and valuation multiples for working-capital-heavy hardware suppliers. Near-term trading catalyst: Investor focus should shift from revenue backlog to cash conversion, inventory days, receivables collections, and financing requirements across AI server and ODM names. Companies that show volume growth without working-capital deterioration should outperform. Longer-duration fundamental shift: The call supports a divergence within AI hardware. Integrated platform providers with services, software, and infrastructure attach can earn better margins and customer lock-in. Pure build-to-order assemblers may see strong revenue but weaker cash returns and lower multiples unless they can improve contractual terms, customer prepayments, or services attach. VALUE IS MIGRATING FROM SERVER BOXES TO FULL DATA-CENTER BUILDING BLOCK SOLUTIONS (READ-THROUGH 8) Affected companies and impact: Vertiv Holdings (VRT: US), positive, high magnitude. Schneider Electric (SU: France), positive, high magnitude. Eaton (ETN: US), positive, high magnitude. Dell Technologies (DELL: US), positive, medium magnitude. Hewlett Packard Enterprise (HPE: US), positive, medium magnitude. ODMs including Quanta Computer (2382: Taiwan), Wiwynn (6669: Taiwan), and Wistron (3231: Taiwan), negative relative impact, medium magnitude if they remain more exposed to lower-value assembly. Transcript support: Management said Super Micro is evolving from a “server designer and manufacturer into a total data center solution provider.” DCBBS includes “cooling units, networking, power shelves, battery backup, management software,” and other subsystems. Management expects DCBBS to contribute more than 25% of total profit in coming years and said DCBBS margins are “most of the time” more than 20%. Software revenue increased from less than $10M per quarter a few quarters ago to $34M last quarter and more than $46M in Q3. Transmission mechanism: This is a profit-pool migration signal. Customers increasingly want complete AI factory deployment capability rather than servers alone. Companies that provide integration, power/cooling, software, services, monitoring, and lifecycle management capture higher margin and greater customer stickiness. Vertiv, Schneider, and Eaton benefit because their infrastructure categories are embedded in the data-center solution layer. Dell and HPE benefit if they successfully attach services and validated infrastructure to AI server sales. ODMs face relative pressure if customers and OEMs capture more of the solution margin above basic assembly. Near-term trading catalyst: Investor questions should focus on AI server gross margin mix, service attach, software attach, and whether companies disclose AI infrastructure revenue beyond hardware. The most positive earnings calls will likely be those that show margin expansion alongside AI revenue growth. Longer-duration fundamental shift: AI infrastructure is becoming a systems-integration market. This favors companies that can shorten time-to-online, manage thermal and power complexity, and provide real-time data-center management software. The negative read-through is that commodity server revenue may become a less attractive metric if it does not translate into durable gross profit and free cash flow. AI CLOUD, COLOCATION, AND POWER-READY FACILITIES AI CLOUD OPERATORS FACE A POSITIVE DEMAND SIGNAL BUT A NEGATIVE TIME-TO-REVENUE SIGNAL (READ-THROUGH 9) Affected companies and impact: Oracle (ORCL: US), mixed, medium magnitude. CoreWeave (CRWV: US), mixed, medium-to-high magnitude. Nebius Group (NBIS: US), mixed, medium magnitude. Applied Digital (APLD: US), mixed, medium magnitude. IREN (IREN: US), mixed, medium magnitude. Customer identities were not disclosed by Super Micro; this read-through applies to exposed AI cloud and neocloud business models rather than named SMCI customer relationships. Transcript support: Management said business remains “very strong in the neocloud” and AI/agentic AI segment, but Q3 revenue was delayed because customer sites were not equipped with required power and networking. Management also cited component shortages across GPU, CPU, memory, and SSD. Transmission mechanism: The positive read-through is that demand for AI cloud capacity remains strong and backlog continues to build. The negative read-through is that AI cloud operators may not be able to convert contracted demand into revenue on schedule if facilities lack power, networking, or validated rack infrastructure. This matters most for companies with aggressive capacity ramps, high upfront capital commitments, and financing structures that depend on rapid monetization of deployed GPUs. Near-term trading catalyst: Trading risk centers on deployment milestones, customer acceptance timing, power energization, and networking readiness. Announcements of delayed cluster go-lives or slower capacity activation would be negative even if demand remains strong. Longer-duration fundamental shift: AI cloud winners may be determined less by headline GPU access and more by integrated execution: power, cooling, networking, financing, and time-to-online. Operators with ready facilities and contracted power should command a premium; operators dependent on future site readiness should carry a discount.

@investmentguru_May 6, 2026 · 12:03 AM

AI Infrastructure Earnings Sweep Big after-hours strength across AI infrastructure names and the theme remains the same: demand is still accelerating. $AMD Strong beat across the board with data center leading the charge. AI GPU ramp and enterprise demand continue to build, and guidance confirms momentum is far from slowing. $SMCI Revenue came in light, but EPS beat big. Market is looking through temporary delays because demand remains intact and future deployments are still on track. $ALAB Quietly putting up monster growth. Nearly doubling revenue YoY and guiding higher again. AI connectivity and PCIe demand are becoming critical pieces of the infrastructure stack. AI is no longer just chips. It’s the full ecosystem — compute, servers, memory, networking, photonics, and cloud infrastructure. Capital keeps rotating into the AI buildout, and the market is rewarding execution. This trend still looks early. Not financial advice. Do your own research.

@unusual_whalesMay 5, 2026 · 8:12 PM

BREAKING: SuperMicroComputer, $SMCI, earnings: - EPS: $0.84, est: $0.62 - Revenue: $10.2 billion, est: $12.4 billion $JOBY earnings: - EPS: -$0.12, est: -$0.21 - Revenue: $24 million, est: $20 million $LCID: - EPS: -$2.82, est: -$2.3 - Revenue: $282 million, est: $358 million

@thevalueistMay 5, 2026 · 8:06 PM

$SMCI (Bloomberg) -- Super Micro Computer reported adjusted earnings per share for the third quarter that beat the average analyst estimate. THIRD QUARTER RESULTS Adjusted EPS 84c, estimate 63c (Bloomberg Consensus) Net sales $10.24 billion, estimate $12.45 billion Adjusted gross margin 10.1%, estimate 6.75% Adjusted operating expenses $278.4 million, estimate $280 million NOTE

@thevalueistApr 13, 2026 · 2:50 PM

$SNDK all-time high ripper. Let's hope they don't crap the bed like the last hot GAI name $SMCI added to $QQQ . I don't believe that will happen. https://t.co/utxOUgMIik

@thevalueistApr 10, 2026 · 6:02 PM

This $SMCI is still working. These clowns better get their stuff together. They literally shoot themselves in the foot at every opportunity, even when they are positioned perfectly for the biggest capex boom their industry will ever see. https://t.co/zFmoFW4V8N

@kaizen_investorApr 5, 2026 · 8:13 PM

War-driven energy inflation is inevitable, but companies solving the AI bottleneck are uniquely positioned to protect their margins. Their critical role gives them the pricing power to simply pass costs onto customers. As a result, these bottleneck companies could emerge as prime investment opportunities during market corrections. - Memory and HBM: SK Hynix, Samsung Electronics, $MU - Packaging and OSAT: ASE Technology, $AMKR, JCET Group - Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn - Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET - Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE - Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $CIFR

@thevalueistMar 25, 2026 · 2:35 PM

$SMCI working. This piece takes too much work. Dude should have just got a $DELL https://t.co/hIfdD1rmU7

@thevalueistMar 23, 2026 · 2:13 PM

Taking a small Jan-2027 lotto bet on $SMCI - TACO bounce back. https://t.co/XloPF0VAvm

@aleabitoredditMar 23, 2026 · 1:59 AM

@DegnFarmer Oh I am. There's a ton of good opportunities ON, $SMCI at $18.5, $AAOI at $86, $AEHR, etc.

@aleabitoredditMar 22, 2026 · 3:43 AM

@afgmantu Hear me out... $SMCI optics are trash. But business itself looks undervalued at ~$12B MC. So might be worth taking the risk here.

@thevalueistMar 20, 2026 · 2:18 AM

$SMCI EXECUTIVE OVERVIEW The March 19 indictment is a high-severity governance and compliance event for Super Micro because it alleges deliberate evasion of U.S. export controls on frontier AI server systems by 3 individuals associated with the company, including co-founder, board member, and SVP of business development Yih-Shyan “Wally” Liaw. The immediate legal target is the individuals, not Super Micro itself: the DOJ unsealed charges against Liaw, Ruei-Tsang Chang, and Ting-Wei Sun, while Super Micro stated that it is not named as a defendant, has placed Liaw and Chang on administrative leave, terminated Sun, and is cooperating with the investigation. That distinction is important, but the event still reaches the core of the investment case because the allegations concern national-security-controlled AI hardware, internal approval processes, channel integrity, and board-level oversight rather than a peripheral operational lapse.  LEGAL AND FACTUAL FRAME The operative facts remain allegations, and the defendants are presumed innocent unless proven guilty. Even so, the indictment is unusually specific and therefore difficult for the market to dismiss as a generic compliance headline. The DOJ alleges that the scheme used a Southeast Asia intermediary, false end-user representations, repackaging into unmarked boxes, encrypted messaging, and staged “dummy” servers to mislead both the company’s compliance team and a U.S. Commerce inspection. The DOJ further alleges that Company-1 purchased approximately $2.5B of servers from the manufacturer during 2024 and 2025, that at least approximately $510M of U.S.-assembled servers were diverted to China between late April 2025 and mid-May 2025 alone, and that neither the defendants nor the manufacturer had a Commerce license for the exports or reexports at issue. That set of allegations is materially more serious than an inadvertent classification error or paperwork lapse because it describes active concealment aimed at defeating the control environment itself.  WHY THIS IS HIGH SEVERITY This matters because the alleged conduct sits at the center of a U.S. national-security enforcement priority. Super Micro’s own FY2025 10-K states that U.S. export restrictions targeting China’s semiconductor and supercomputing industries were imposed in October 2022, expanded in November 2023, and further revised in January 2025 for certain advanced computing products. BIS then issued May 2025 industry guidance specifically focused on preventing diversion of advanced computing ICs and servers through third countries, listing red flags such as post-2022 demand spikes, opaque intermediaries, unknown ultimate installation locations, ship-to parties with limited online presence, logistics firms inconsistent with the product’s use case, virtual-office end users, and data centers unable to confirm power, cooling, or space. BIS also emphasized that exporters may not “self-blind” to such red flags. The indictment tracks that risk profile almost point-for-point. If the allegations are substantiated, the case will be viewed by regulators as conduct occurring directly inside a well-flagged, high-priority enforcement zone rather than in a gray area of evolving policy.  FINANCIAL MATERIALITY The alleged channel volume is large enough to be material, but not obviously existential. If the approximately $2.5B of purchases by Company-1 is treated as the gross economic size of the channel now under scrutiny, it equals approximately 11.4% of FY2025 revenue, 14.1% of 1H FY2026 revenue, and 6.25% of the company’s FY2026 sales outlook floor of at least $40.0B. The approximately $510M allegedly diverted in the late-April to mid-May 2025 window alone equals approximately 2.3% of FY2025 revenue. That scale is meaningful because it is large enough to matter for revenue quality, customer concentration, and potential penalties, but it does not by itself imply franchise impairment for a company that reported $22.0B of FY2025 revenue, $17.7B of 1H FY2026 revenue, and a FY2026 sales floor of at least $40.0B.  Balance-sheet capacity exists, but operating slack is thinner than the revenue base suggests. As of Dec. 31, 2025, Super Micro had $4.1B of cash and cash equivalents, versus $4.655B of convertible notes and $223.2M of lines and term loans, or approximately $786.8M of net debt. At the same time, gross margin had already compressed from 13.8% in FY2024 to 11.1% in FY2025 and to 6.3% in Q2 FY2026, 1H FY2026 operating cash flow was negative $941.4M, and inventory had risen to $10.6B. The company therefore appears capable of funding legal defense, remediation, and even a meaningful civil penalty. The more important issue is that weak incremental margins, negative recent cash conversion, and heavy inventory reduce tolerance for customer pauses, longer acceptance cycles, or channel friction.  CONTROL ENVIRONMENT AND GOVERNANCE This event lands on a weak control backdrop. Super Micro disclosed in its FY2025 10-K that it received DOJ and SEC subpoenas in late 2024, that EY resigned during the FY2024 audit after stating it could no longer rely on management and Audit Committee representations, and that both management and BDO concluded internal control over financial reporting was not effective as of June 30, 2025. The disclosed material weaknesses included deficient IT general controls, insufficient segregation of duties, inadequate controls over the completeness and accuracy of information used in financial reporting, and failure to design, implement, and retain procedures for timely identification and disclosure of new related-party transactions. The Dec. 31, 2025 10-Q then stated that those weaknesses remained unremediated and that disclosure controls were still not effective. This does not prove that the export-control allegations are a corporate-level failure, but it materially weakens the credibility of a clean “isolated actor inside a strong system” defense.  The profile of the charged executive increases the governance significance. The current proxy identifies Liaw as a 1993 co-founder, current director, SVP of business development, and 2.6% beneficial owner. It also shows that he returned as a consultant in 2021, resumed full-time employment in 2022, and rejoined the board in 2023 after previously leaving in 2018 during an earlier period of filing delinquency and control remediation. The same proxy states that the board has delegated primary responsibility for financial-controls and reporting risk to the Audit Committee, which also assists with internal controls and related-party transaction oversight. Balanced against that, the company’s Special Committee concluded in Dec. 2024 that it did not identify substantial concerns about senior management or Audit Committee integrity in the matters it reviewed. Even with that caveat, an indictment tied to a current board member and long-tenured insider is a materially worse governance fact pattern than misconduct by a regional sales employee or third-party distributor alone.  OPERATING AND CUSTOMER IMPLICATIONS The company’s own disclosures make external triangulation of final end-user exposure difficult. Super Micro reports international net sales based on the country to which products were shipped, not the ultimate destination or final end user. In FY2025, 59.4% of revenue was reported in the U.S. and 25.0% in Asia. In 1H FY2026, 72.1% of revenue was reported in the U.S. and the remaining 27.9% was aggregated into “Other,” with all other individual countries below 10%. The FY2025 10-K also warns of limited visibility into sales by channel partners and explicitly states that products could be re-exported by suppliers, resellers, or partners in contravention of company instructions or applicable law. Stated differently, the reported geographic mix cannot by itself answer the ultimate-end-user question in a diversion case, and low disclosed China revenue would not, on its own, invalidate a meaningful China-linked demand exposure.  Customer concentration sharply amplifies the downside of even modest procurement friction. FY2025 had 4 customers accounting for more than 10% of annual revenue. By Q2 FY2026, Customer A represented 62.6% of quarterly sales and 45.1% of 1H sales, and management attributed the quarter partly to a large design win. That profile cuts both ways. It means strong hyperscaler and large-enterprise demand can mask channel disruption for a period. It also means that tighter export-control diligence, slower acceptance procedures, changes in approved routing, or incremental audit demands from a very small number of customers can create rapid volatility in revenue timing, receivables, and working capital. The near-term operational question is therefore less about end-demand destruction and more about whether large customers treat the matter as ring-fenced to the indicted individuals or as a reason to tighten procurement and shipment controls.  Channel and manufacturing complexity further raise the diligence burden. The filings describe Compuware as a non-exclusive authorized distributor in Taiwan, China, Australia, Malaysia, and the U.S.; note that Super Micro extended a $200.0M trade credit line to Compuware in November 2025; and disclose $347.1M of related-party cost of sales and $19.1M of related-party sales in 1H FY2026. These disclosures do not implicate any related party in the indictment and should not be read that way. They do, however, show that the company operates through a dense cross-border network of distributors, contract manufacturing, and related-party arrangements. In that kind of operating model, documentation quality, end-user certification, physical verification, and segregation of duties are not administrative details; they are part of the economic moat because they determine whether product can move without regulatory interruption.  LEGAL AND FINANCIAL EXPOSURE The central unresolved issue is whether the matter remains confined to the indicted individuals or expands into corporate enforcement. Super Micro is not charged today, and that materially limits immediate downside relative to the headline risk. However, trade-control precedents show that corporate outcomes can still be expensive and operationally restrictive if regulators conclude that the enterprise benefited from, knew of, or failed to prevent the conduct. BIS imposed a $300M penalty, mandatory multi-year audits, and a 5-year suspended denial order on Seagate over Huawei-related shipments; a $252M penalty on Applied Materials over shipments routed through Korea to China, equal to approximately 2x transaction value; and a $95M BIS penalty plus $45M of DOJ forfeitures on Cadence over exports to Chinese entities tied to military supercomputers. The proper takeaway is not that Super Micro will necessarily face a comparable outcome. The correct takeaway is that 9-figure penalties, audits, certifications, executive turnover, and structural compliance undertakings are plainly inside the government’s toolkit in national-security export cases.  This is not yet an accounting event in the narrow sense. Nothing in the indictment, the company statement, or current SEC filings establishes a revenue-recognition restatement, and the alleged misconduct is framed as unlawful diversion and concealment rather than fictitious demand. That said, the overlap between export-control allegations and unresolved control weaknesses means additional audit work, disclosure revisions, reserves, contingency accruals, or changed representations from auditors and customers cannot be ruled out. That risk is elevated because the DOJ alleges false documents, false communications, and staged audit evidence designed to bypass the company’s own compliance function. The distinction is important: the current issue is not proven accounting fraud, but it could still migrate into financial-statement consequences if broader corporate knowledge, deficient controls, or uncollectibility questions emerge.  VALUATION AND MARKET IMPLICATIONS Valuation alone does not neutralize the risk. The finance snapshot after the announcement showed an equity value of approximately $17.5B and a trailing P/E of approximately 20.0x. Combining that market value with Dec. 31, 2025 cash and debt implies enterprise value of roughly $18.3B, or approximately 0.46x the company’s FY2026 sales outlook floor. That is a low multiple for a company still participating in strong AI infrastructure demand, which indicates that margin compression, control issues, and governance skepticism were already embedded in the stock. The problem is that export-control cases attack revenue quality, channel trust, and franchise permissions, not just near-term EPS. Low-multiple equities can still re-rate lower if the market begins to doubt the durability or permissibility of the revenue stream itself.  SCENARIO FRAME In a contained-case outcome, the company remains uncharged, cooperation is credited, compliance remediation is accelerated, board changes are made where necessary, and customers continue ordering with limited disruption. In that case, the incident settles into a higher SG&A and governance-discount story rather than a demand shock, and the stock can recover because the top-line engine remains powerful. In a more likely middle-case outcome, the investigation persists for multiple quarters, customers and auditors tighten diligence, approvals for sensitive configurations slow, legal and compliance expense rises, and the stock retains a structurally lower multiple despite continuing revenue growth. The downside case is a transition from individual liability to broader corporate enforcement or materially changed customer behavior; under that outcome, concentration, weak current gross margins, negative recent operating cash flow, and elevated inventory create non-linear downside to earnings quality and cash conversion.  CONCLUSION On balance, this is not a thesis-ending event on day 1 because the company itself has not been charged, demand for AI server infrastructure remains robust, and the alleged channel volume, while large, is not obviously existential relative to Super Micro’s revenue base. It is, however, a material degradation in investability quality. The indictment strikes directly at 3 issues that matter most for a hardware company selling controlled AI systems into a geopolitically sensitive market: trust in the channel, confidence in the control environment, and the credibility of board oversight. Until evidence emerges that the matter is fully ring-fenced to the charged individuals and that customers are not changing procurement behavior, a meaningfully higher governance and regulatory risk premium is warranted. 

@thevalueistMar 19, 2026 · 10:57 PM

$SMCI Non-issue 🥹😭 The company states: "Super Micro Computer was informed today that the United States Attorney's Office for the Southern District of New York has unsealed an indictment of three individuals associated with the Company in connection with an alleged conspiracy to commit export-control violations. Supermicro is not named as a defendant in the indictment. The individuals charged are Yih-Shyan "Wally" Liaw, Senior Vice President of Business Development and a member of the Company's Board of Directors; Ruei-Tsang "Steven" Chang, a sales manager in Taiwan; and Ting-Wei "Willy" Sun, a contractor. Supermicro has placed the two employees on administrative leave and terminated its relationship with the contractor, effective immediately. The conduct by these individuals alleged in the indictment is a contravention of the Company's policies and compliance controls, including efforts to circumvent applicable export control laws and regulations. Supermicro maintains a robust compliance program and is committed to full adherence to all applicable U.S. export and re-export control laws and regulations. The Company has been cooperating fully with the government's investigation and will continue to do so. Supermicro has not been named as a defendant in the indictment."

@kaizen_investorMar 14, 2026 · 9:23 PM

Big companies are announcing huge layoffs. $AMZN to cut 30,000 jobs, $META potentially 15,000 jobs. $ORCL, $XYZ, $CRM, $ASML,… all announced cuts as well. It’s not that those companies are doing badly financially, they report record earnings with growing margins. They all expect a lot from AI. What we saw from perplexity yesterday is a first glimpse of what AI will be able to do in the near future. With jobs being cut, more and more money will flow towards R&D and more importantly the CapEx. Everyone is investing in AI and those numbers will only increase. We are still in the early stages of AI and the supply chain is still evolving. There are some major bottlenecks forming that are slowing down the progress of AI. The most profitable companies are spending billions to make sure they can control these bottlenecks. This creates possibilities for investors. The major bottlenecks at the moment: - Memory and HBM: SK Hynix, Samsung Electronics, $MU - Packaging and OSAT: ASE Technology, $AMKR, JCET Group - Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn - Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET - Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE - Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $NBIS, $CIFR No financial advice

@kaizen_investorMar 4, 2026 · 4:47 PM

I have written a full article on the AI chip supply chain. The supply chain is structured into 4 different phases with 13 layers: 1. Raw Materials: $SHECY, $SUOPY, GlobalWafers, $WAF.DE, $SHWDF, $AXTI, $IQE 2. Manufacturing Equipment: $ASML, $ASM.AS, $AMAT, $LRCX, $KLAC 3. EDA & Core Intellectual Property: $SNPS, $CDNS, $ARM, $RMBS 4. Chip Design: $NVDA, $AMD, $INTC, $QCOM 5. Foundries: $TSM, Samsung Semiconductor, $SMIC 6. Memory and HBM: SK Hynix, Samsung Electronics, $MU 7. Packaging and OSAT: ASE Technology, $AMKR, JCET Group 8. Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn 9. Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET 10. Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE 11. Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $CIFR 12. Hyperscalers: $AMZN, $GOOGL, $MSFT, $META 13. AI Storage, platforms and Data: VAST data, Weka, NetAPP, $PLTR, Blue Yonder, $KXSCF The article covers it all.

@mrmikeinvestingMar 1, 2026 · 6:15 PM

The war between the U.S. & Iran has officially begun, and as a result war stocks will rise heavily. If you aren’t invested into these picks by now then you’ll soon be left behind: Drones ~ $ONDS, $AVAV, $KTOS Prime Defense ~ $LMT, $NOC, $RTX, $GD, $LHX Space/Satellite infrastructure ~ $RKLB, $ASTS, $IRDM AI, & Cyber warfare ~ $PLTR, $CRWD, $PANW, $NVDA, $SMCI Oil ~ $XOM, $CVX, $OXY Power/Nuclear/Grid ~ $OKLO, $CEG, $VRT, $ETN These opportunities are going to make life changing returns…