What top creators are saying about NVIDIA Corporation(NVDA)— Page 8

Trading around $215–$218 ahead of earnings while actively securing power, land, and compute ecosystems to alleviate data center bottlenecks.

At a critical juncture ahead of earnings; risk of forming a lower high could trigger a broader multi-month correction across the semiconductor and tech sectors.

Leading a $100 billion data center infrastructure investment for OpenAI, expected to generate $600 billion to $900 billion in revenue over the next five years through multi-generation GPU refreshes.

Computing chips are emerging as an investable real-world asset class generating rental yields from computational power.

Acts as the primary hardware beneficiary of the AI buildout, but revenue remains vulnerable if hyperscalers cut capital spending to restore free cash flow.

Faces revenue risks from China's push for domestic semiconductor self-reliance and potential enterprise margin compression from low-cost Chinese open-source AI models.

Trading lower at 216.85 with a decline of -0.33%.

Faces headwinds if high long-term Treasury yields constrain the debt-financed AI infrastructure buildout of its major customers.

Reportedly partnering with Navitas Semiconductor to develop next-generation 800V HVDC power architecture.

Mobilizing over $500 billion in outside capital and creating independent compute financing platforms to sustain chip demand and insulate its sales pipeline from hyperscaler cash constraints.

Showing a bearish rising wedge pattern with risk of a post-earnings pullback around August 26 that could weigh on equities and crypto.

Upcoming earnings report on August 26th represents a significant catalyst, warranting caution and risk management due to potential high volatility and elevated market expectations.

Core long-term AI compute standard trading cheaply on a growth-adjusted basis with an entrenched CUDA software moat.

Faces technical risks of losing its upward trendline around late August, with potential capital rotation out of semiconductor stocks into crypto.

China is permitting purchases of H200 chips due to domestic capacity shortages, while NVIDIA's CUDA software ecosystem continues to provide a strong competitive moat and pricing power.

Serves as the foundational computing layer and primary hardware enabler for running and training advanced AI models and autonomous agents.

Sitting in neutral territory without favorable risk-to-reward setups.

Predicts a major rally leading into earnings next Wednesday, followed by a broader market crash the following Friday

Stock shows a bearish ascending wedge technical formation and faces high downside risk ahead of its upcoming earnings report as institutional capital rotates out.

Cited as an archetype of long-term winners in AI infrastructure, benefiting from persistent compute shortages and pricing power amid surging enterprise AI adoption.

Maintaining support at $190-$192; dips provide attractive accumulation opportunities for a long-term target of $300 once post-summer volume resumes.

Remains the primary AI compute infrastructure beneficiary with broad-based model builder demand and high gross margins.

Chart displays an ascending wedge pattern with elevated risk of a downward breakdown; reducing exposure ahead of August 26 earnings is recommended.

Featured as a notable customer speaker and attendee at Palantir's Sovereignty Bootcamps.

Fell 2% to 6% at open due to short-term multiple compression driven by surges in 2-year, 10-year, and 30-year Treasury yields.

Compute remains the essential bottleneck and non-discretionary capital sink in the AI race, sustaining strong structural demand for NVIDIA H100 clusters and high-end accelerator hardware across enterprise and research workloads.

Faces potential long-term headwinds as Chinese competitors mature and hyperscaler CapEx decelerates, with additional risks tied to debt-financed data center compute securitization.

Blackwell AI compute hardware is driving massive energy demand increases, positioning the company as a key catalyst forcing hyperscalers toward alternative off-grid nuclear power solutions.

Benefits from a continuous, structural bid created by automated passive index fund inflows reinforcing mega-cap dominance.

Faces potential cyclical demand risks tied to hyperscaler private-credit debt financing, U.S. export restrictions, and long-term market share erosion from subsidized Chinese silicon competitors.

Consolidating ahead of earnings amid emerging inference chip competition; stabilization near $213 provides an opportunity for a pre-earnings swing trade targeting $220.

Ranks among the top 10 heavily traded and liquid single stocks YTD

Facing short-term resistance near $235 and pre-earnings volatility, though its broader structural uptrend of higher highs and higher lows remains intact.

Remains the primary pillar of AI infrastructure with accelerating demand and strategic investments across the broader AI ecosystem.

Institutional active managers remain notably under-allocated to NVDA relative to its index weighting, presenting structural ownership upside.

Facing skepticism over circular AI infrastructure financing commitments and rising CDS spreads, which may cap near-term valuation multiples.

Remains the leading performance standard for AI training, but long-term gross margins face headwinds as hyperscalers develop proprietary chips and compute commoditizes.

Technical momentum indicates rising risk with prices increasing on diminishing volume near highs; investors are advised to avoid emotional attachment and systematically take partial profits.

Maintains positive momentum; pullbacks near $216 offer buying opportunities targeting $238.

Robust demand for AI infrastructure and high-performance GPUs like the H100, driven by the expansion into distributed inference, rising GPU prices, and capacity constraints.

Developing the open-source Nemotron 4 model scaling up to 1 trillion parameters to reinforce developer reliance on its computing ecosystem.

Escalating US-China semiconductor export controls and trade restrictions continue to cap upside for direct AI chip hardware sales in the Chinese domestic market.

Dominates AI compute hardware, but long-term gross margins face pressure from hyperscalers developing custom in-house silicon, weakening CUDA moats, and deferred balance-sheet risks from compute buyback commitments through 2030.

Supporting a $1.5B investment in SB Energy for an OpenAI Ohio AI campus, with UBS expecting FQ2 revenue of $94B–$95B and FQ3 guidance of $107B–$108B.

Bridgewater Associates sold off significant stakes as part of a broad de-risking of mega-cap tech.

Launching its 800VDC next-generation AI data center power architecture in the second half of the year.

Upcoming earnings serve as a major volatility catalyst prone to smart money manipulation; aggressive unhedged directional bets should be avoided.

UBS projects strong revenue and long-term earnings growth, though near-term upside may be capped by broader market positioning, making $200 support the preferred entry level.

Plans to globally ship 24GW to 30GW of rack-level compute next year, raising concerns regarding whether there is sufficient power infrastructure to meet demand.

Expected revenue of $91.0B (96% YoY growth), consensus EPS of $2.08, trading roughly 24% below its normal P/E of 42.03x, with EPS projected to 3x by 2029.