When the memory shortage ends, almost nothing happens to NVIDIA. I read the 10-Qs, and what it comes down to is whether the AI labs can keep paying.
NVIDIA's revenue is not threatened by GPU memory shortage ending because power constraints in neoclouds will force operators to upgrade to newer, more expensive chips rather than rerent older ones. The real risk is whether AI labs can continue paying for compute, which depends on CoreWeave's financing and OpenAI's ability to raise capital—not GPU pricing.
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If Nvidia bails out CoreWeave again, it reveals how deeply AI’s fate is tied to CoreWeave
Nvidia's growth is less robust and diversified than the market assumes. Jensen Huang's public defense of CoreWeave's financing and potential further bailouts suggest that a second-tier cloud provider's financial health is critical to Nvidia's demand trajectory, indicating concentrated customer risk and fragile AI infrastructure economics.
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Why NVDA is HIGH RISK and not even close to a value
NVDA has 25% of 2028 forward revenue dependent on vendor financing with high-risk cloud companies (like CRWV) whose borrowing costs are spiking to 15% yields. NVDA is ultimately on the hook if these companies fail, and this mirrors Lucent's circular financing collapse during the dot-com bubble. Additionally, hyperscalers are actively diversifying away from NVDA and developing alternative software to counter CUDA, exposing NVDA to structural revenue risk.
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$NVDAr/ValueInvestingDiscussionneutral u/Miamiownz · 8d ago1 prior · awaiting results NVDA vs AMD for a 3–5 year buy and hold?
Nvidia is the undisputed AI leader with a durable CUDA moat, superior networking, and strong cash flow, but its massive market cap limits upside potential before growth plateaus, especially as major tech firms develop proprietary ASICs.
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$NVDAr/wallstreetbetsDiscussionbearish u/100mn · 8d ago1 prior · awaiting results Shouldn’t we all be worried about Jensen defending CoreWeave?
Jensen Huang's public defense of CoreWeave after just 3 weeks of drawdown signals fragility in the AI infrastructure ecosystem and suggests the market is overvaluing the circularity of the AI trade. If CEOs of mega-cap companies are doing PR damage control for suppliers in normal conditions, systemic stress could cascade more severely.
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$NVDAr/wallstreetbetsGainbullish u/xspire · 16d agono track record yet “$17K into NVDA”
$17K in 2017 to now. I just hold and use it as collateral for margin.
Author invested $17K in NVDA in 2017 following the GTX 1080Ti release and has held for substantial gains, using the position as collateral for margin trading.
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Burry says NVIDIA's GPU "resale value" chart is really a rent forecast. I checked the source: he's right. I still don't think it's a reason to short NVIDIA.
NVIDIA's GPU valuation chart reflects discounted rent forecasts backed by sustained buyer demand and memory scarcity extending past September 2027. While Burry's puts bet on rent collapse, NVIDIA has material downside cushion even at depressed utilization and debt costs, with credit markets already pricing renewal risks appropriately—unlike the 2006 mispricing of similar leasing dynamics.
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$NVDAr/ValueInvestingDiscussionbullish u/banaca4 · 24d ago1 prior · awaiting results I sold NVDA too early (a confession)
The author holds NVDA and reflects on selling too early in 2022 during a drawdown despite the underlying technological thesis remaining intact. He argues that holding strategic positions through price volatility, when the original thesis hasn't weakened, is more profitable than selling winners based on emotional confidence shocks rather than fundamental changes.
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NVIDIAs Venture Capital Spree
NVIDIA's cash allocation pattern—$191.3B spent over six quarters on 49.5% equity investments in other companies and 45.1% shareholder returns, versus only 5.4% capex—mirrors a venture capital firm rather than a supply-constrained hardware leader with 60%+ margins. This suggests demand weakness or artificial supply constraints, making the company's capital discipline questionable and its core business thesis potentially deteriorating.
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Memory vs. GPU
GPUs should be viewed through the same structural, non-cyclical lens as memory because HBM is a legally contracted bottleneck for GPU deployment. As demand for AI and AGI scales aggressively, memory capacity locked through 2027 acts as a binding infrastructure constraint, supporting sustained pricing power for GPU makers.
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Nvidia’s $530B question: ecosystem support or vendor financing?
Nvidia's $530B in off-balance-sheet commitments represent an increasing shift toward financial backstopping of its AI ecosystem rather than pure supply. While current AI demand may be genuine, reliance on vendor financing as a demand indicator creates a valuation dislocation risk over the 3–5-year horizon, with longer-term fundamentals becoming highly uncertain.
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“28k YOLO. 3 DTE. Way OOTM. My entire port.”
28k NVDA YOLO. 3 DTE
Author is betting their entire portfolio on way out-of-the-money NVDA call options with 3 days to expiration, timed around a crucial rate decision. The position size and urgency indicate conviction in a short-term bullish move.
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“350 NVDA contracts expiring in 2 trading days ($16k)”
Absolute YOLO - 350 NVDA contracts expiring in 2 trading days ($16k)
NVDA crushed earnings and CEO Jensen's positive commentary at GS conference suggests imminent upside. Author expects a 2-4% pop tomorrow to generate significant gains on 350 short-dated contracts expiring in 2 trading days.
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Where I think the market is mispricing quality: 10 valuation dislocations for the next 3–5 years
Nvidia at ~17.5x forward earnings has room for some normalization; the author entered it in the Top 10 after Q2 results but weights financing risk, cash conversion, and eventual cyclicality as limiting factors versus other holdings.
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My completely regarded analysis of the AI trade. Read before you buy 0DTEs.
AI pure-play vendors have massively over-promised on capabilities; models still hallucinate and fail at basic tasks. The bubble will eventually pop and bagholders will suffer, though long-term survivors will own the AI infrastructure.
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“$25k expiring Friday”
NVDA is going to rip higher all week I’m sure of it. $25k expiring Friday
NVDA will rally significantly through the week as the market digests strong earnings. Poster is playing the move with a $25k bet expiring Friday.
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Long NVDA $225P exp Aug 28
$30,000 YOLO NVDA $225 strike 8/28 put - Be a Good Player, Risk giving half of it all back
Author YOLOs $30,000 into NVDA put options at $225 strike expiring 8/28, betting on downside and warning against FOMO buyers chasing calls.
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Long NVDA $217.5C exp Aug 28
$50,000 YOLO NVDA 8/28 exp $217.5 strike call - when to take profit?
Bullish bet on NVDA into near-term expiry via call options. Author expects upside move toward or beyond the $217.5 strike by late August, citing precedent of even value investors like Michael Burry playing similar call positions.
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Supply constraints Nvidia
Nvidia faces near-term supply constraints (70% fulfillment) combined with rising political backlash against data center buildouts in the US and abroad. Political risk, rising bond market strain, and poor IPO outcomes for AI startups could trigger a major correction before year-end, with cascading effects across the market.
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“Late 2027 NVDA puts”
The AI Trade is Dead, OpenAI and Anthropic undershot the moon, pressure private equity
Nvidia holds a massive bag of wasted AI/LLM infrastructure spending that will never generate returns. The author expects Nvidia to decline as the company unwinds positions and realizes losses from unprofitable compute investments.
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