NVDA

Joe frames Nvidia as a major long-term beneficiary of an AI compute buildout that could move into space via a SpaceX partnership on custom Vera Rubin racks, calling it potentially 'the greatest boon' for the company. However, he acknowledges near-term weakness tied to an AI pacing scare and describes a recent options trade that went against him.

The speaker views Nvidia as fundamentally undervalued and poised to grow near-term, but believes it carries more downside risk than Tesla or SpaceX because its core training-compute business could be threatened if large AI training runs are outlawed. He expects a possible near-term move higher before a later, more serious hiccup tied to this regulatory risk.

The host holds a leveraged long position in Nvidia currently, but acknowledges that if the AI-pacing/doomerism debate escalates and frontier training runs get curtailed, Nvidia's chip dominance (rooted in training superiority) could take a hit, though he believes the market will largely ignore this risk for now. He is more confident that SpaceX and inference-related compute demand will be unaffected or even boosted.

Joe expects Nvidia to be unfairly but heavily punished by the market once fears about a halt to frontier AI training and terrestrial compute buildout spread, likely around 2028, even though he believes fundamentally inference demand will keep growing. He sees this as a market overreaction rather than a reflection of Nvidia's actual business prospects.

The speaker expects Nvidia's upcoming earnings to be strong but with limited surprises, believing the stock is somewhat undervalued after a pullback from its highs. He takes a small, low-conviction bullish position via short puts rather than a high-confidence directional call.

Jo argues Nvidia has solved its biggest long-term problem — financing trillions of dollars in future GPU buildout — by partnering with major asset managers (Apollo, Blackstone, Brookfield, Goldman Sachs, KKR, BlackRock) to turn compute into a tradable, collateralized asset class. He believes this unlocks essentially unlimited capital market financing for AI infrastructure and will eventually be a major positive catalyst for Nvidia's stock once the first transactions are executed.

The speaker holds Nvidia as a core position and views it as a more value-driven, lower-risk stock than Tesla, though with less upside potential.

Joe sees Nvidia as ridiculously cheap on a forward PE basis, near 10-year lows, with demand so strong the company is reportedly sold out of capacity through 2029.

NVIDIA is at the eye of the AI storm and the easiest play for the AI revolution. The speaker predicted it would go to $200 and it's already moved from $175 to $190 in 5 days, though they wish they had more exposure.

The YouTuber is extremely bullish on Nvidia, viewing it as more fundamentally backed than Tesla currently. He believes Nvidia should be trading significantly higher and expects substantial upside as geopolitical risks subside.

Nvidia is the speaker's second-largest position and considered the safest value stock in the Magnificent 7 due to strong fundamentals and low PE ratio. Expected to benefit significantly from the AGI revolution and productivity increases.

NVIDIA is positioned as the dominant force in AI infrastructure with their new Vera Rubin platform, Nemo Claw agent systems, and Neotron ecosystem creating a complete AI universe. The company is seeing exponential revenue growth with Jensen Huang projecting $1 trillion in cumulative revenue through 2027, nearly double previous estimates.

Nvidia is significantly undervalued after earnings selloff, trading at ridiculous forward P/E of 20-22 despite 70% earnings growth. The company has a strong floor due to massive cash flows and is positioned to lead any market recovery.

NVIDIA is at the center of the AI revolution and singularity, with data center revenue growing 75% year-over-year despite being the world's largest company. The speaker believes AI demand is unlimited and NVIDIA will continue growing at 60-70% for a very long time, making this definitively not a bubble.

NVIDIA is positioned as the central chip machine for the AI revolution and is not overvalued despite its $5 trillion market cap. The company benefits from unlimited demand for AI compute as intelligence is the only uncapped economic input, with $1.5 trillion in global AI buildout commitments driving exponential growth.

Kevin views Nvidia as undervalued relative to AMD on a PEG basis and highlights its growing CPU business as an underappreciated growth driver on top of its dominant GPU franchise. He believes the stock could push toward $600 and become the first $10 trillion company.

Kevin argues Nvidia is the dominant beneficiary of the AI and robotics buildout, controlling the training chips (Reuben/Vera Rubin GPUs), edge chips (Thor/Orin), networking (ConnectX/Bluefield), and software stack (CUDA, Omniverse, ROS2) across both AI and humanoid robotics. He believes Nvidia is undervalued given this near-total vertical dominance.

Kevin describes a 'circular spending' cycle where Nvidia funds Neoclouds and AI labs who in turn buy more Nvidia chips, calling this one of two 'canaries' that could either sustain the AI boom or trigger a recession if it breaks down. He currently believes the canary 'isn't sick' and expects the AI software/agentic business shift to eventually offset concerns about unprofitable frontier model spending.

Kevin remains bullish on Nvidia even while discussing Apple's potential entry into the server market as a competitive threat, maintaining a price floor view of over $300 per share. He sees Nvidia's NVLink Fusion technology as a major moat even as more ASIC designers and now potentially Apple look to integrate with its ecosystem.

Kevin believes Nvidia is part of a coming 'hardware super-cycle 2.0' as AI spending shifts from capex to opex/inference, with margin resilience justifying continued chip demand. He holds a position and expects the stock to do well alongside peers.

Kevin suggests Nvidia is undervalued relative to its growth given constrained supply and extended runway from the AI bubble, though his exact price framing is unclear.

Kevin sees Nvidia as a beneficiary of hardware names being undervalued relative to the current AI capex cycle if a new Iran memorandum of understanding materializes.

Kevin thinks Nvidia has been undervalued for months and is close to breaking out of a long-standing technical ceiling, pointing to Microsoft's reported plan to massively scale up AI compute capacity as a bullish signal for chip demand. He argues hardware names broadly have gotten too cheap for this stage of the AI buildout cycle.

Kevin sees the massive Oracle-OpenAI compute deal as strongly positive for Nvidia and other hardware providers, since it signals continued heavy spending on chips and data center buildout.

Kevin breaks down a bullish AI-compute thesis piece and pushes back on several of its assumptions, arguing that token costs are rapidly depreciating and that open-weight models from firms like Alibaba will compress margins for frontier labs and hardware demand. He says he remains bullish on AI hardware and stocks in the near term but believes the buildout could end in a bubble pop within a few years.

Kevin sees renewed strength in Nvidia and the broader AI hardware trade after a period of stagnation, framing the current move as the start of a second wave of the hardware rally. He notes Nvidia reclaiming the $227 breakout level and strong earnings-call commentary on demand and circular financing clarity.

Kevin sees Nvidia's earnings beat as a bullish near-term catalyst for a 'hardware rally 2.0,' driven by massive capital raises from Google, SpaceX and others being funneled into Nvidia purchases. However, he repeatedly flags that the long-term foundations of this spending (OpenAI, Anthropic, circular financing) are unstable and expects the AI trade to eventually 'come down' even as he remains bullish in the near term.

Kevin is near-term bullish on Nvidia as part of the broader AI hardware rally, but expresses longer-term skepticism that the AI spending foundations (built on OpenAI and Anthropic) are sustainable, expecting an eventual unwind.

Kevin likes Nvidia as a pricing-power leader in AI chips today, but he's uncertain whether Nvidia's extremely high growth expectations can be sustained over the next decade, which matters a lot for its PEG-based valuation. He used Nvidia as a live example to show how collapsing forward growth estimates can blow out the PEG ratio.

Nick Gibbs suggests selling cash-secured puts on Nvidia as an options trade, citing attractive premium at current levels after the stock's recent slide. He plans to place this trade himself around the Fed decision.

Larry gave a specific price target for Nvidia, expecting the stock to reach around $240 by the end of January, tied to its upcoming earnings report.

Randy names Nvidia as one of his top long-term stock picks, viewing it as the essential compute counterpart to the SpaceX/Tesla AI infrastructure buildout. He frames a combined SpaceX/Tesla/Nvidia position as capturing the full value chain of the AI buildout over the next five years.

The host argues Nvidia's guidance beat (70% growth vs. the expected 45-50%) is a massive positive catalyst that the market hasn't fully priced in yet, calling the broader tech sector undervalued as a result. He expects the stock to reclaim its all-time high almost immediately.

Randy Kirk views Nvidia's upcoming earnings report as the centerpiece of the week, expecting strong results driven by AI data-center demand, product ramps, and China exposure. He expresses confidence the company will report well, though without giving a specific price target.

Nvidia is discussed as a central beneficiary of what the hosts see as near-infinite AI compute demand, though they caution against being 'all in' on any single hardware name given uncertainty around capex sustainability. They note the stock is not far off all-time highs despite the recent broader pullback in AI names.

The host details a blowout Nvidia quarter (Q2 revenue of 96.2B vs 92.3B estimate, Q3 guidance of 108B) but argues the stock keeps falling because Wall Street is fixated on a decelerating growth-rate inflection rather than absolute beats. He expects a near-term bounce in the stock but does not believe the broader AI hardware trade reignites into a sustained rally for a long time.

The host expects Nvidia's earnings to be solid but not impressive enough to reignite the AI hardware trade, viewing the report as a neutral-to-slightly-negative catalyst for the stock and broader market. He believes the path of least resistance for Nvidia shares is to the downside following earnings, though he does not expect a disastrous miss.

Tyler argues the broader AI hardware trade and its FOMO cycle are finished, pointing to Nvidia's $500 billion AI infrastructure funding package as 'circular financing' that hides real debt risk off company balance sheets. He believes hyperscalers may need to raise $300-400 billion via debt or equity next year, which he sees as bearish for AI hardware stocks.

The speaker believes the AI hardware FOMO trade, including Nvidia, is over and won't return, citing a negative stock reaction to Nvidia's new infrastructure financing package, slowing growth due to the law of large numbers, and upcoming dilution from a stock offering. He argues capital is now rotating into robotics, automation, AI software, and cybersecurity instead.

Stock Moe views Nvidia as the best opportunity among the AI retail darlings based on its comparatively low PE, and believes demand for its most modern chips remains strong enough that they can sell everything they produce. He notes the stock beat earnings and guided higher despite a seven-day losing streak heading into the print.