Nvidia's Jensen Huang Reveals He Helped Elon Musk Build Model S Computer, FSD Hardware

Nvidia reported Q3 revenue of $57 billion, a 62% year‑over‑year increase that topped the Wall Street consensus of $54.88 billion, with EPS of $1.30, signaling continued strong demand for AI compute. CEO Jensen Huang recounted historical collaboration with Elon Musk — including delivering a DGX‑1 that later tied into OpenAI — while Musk praised Nvidia and forecasted a potential Tesla "Nvidia moment" as autonomy and Optimus scale, a narrative contrasted by Michael Burry's warning that Tesla is "ridiculously overvalued," underscoring divergent investor views on AI-driven valuation catalysts.

Analysis

Market Structure: Nvidia (NVDA) is the clear near‑term winner — pricing power for datacenter GPUs is intact after $57B Q3 revenue (+62% YoY) and limited foundry capacity (TSMC node constraints) suggests persistent supply tightness and 5–20%+ ASP retention near term. Beneficiaries include hyperscaler cloud providers (GOOGL), GPU foundries (TSMC suppliers), and datacenter REITs; legacy OEMs and non‑AI auto suppliers (TSLA‑dependent stacks) face pressure as value shifts to AI accelerators.

Risk Assessment: Tail risks include US/China export controls or a rapid shift to in‑house accelerators (Meta/Apple/Google) that could remove 20–40% addressable market within 2–4 years; an operational shock at TSMC would materially compress NVDA revenue. Near term (days–weeks) sentiment shocks matter; medium (3–12 months) hinges on guidance and wafer allocation; long term (2–5 years) depends on architectural competition and energy/cooling constraints.

Trade Implications: Tactical play is concentrated NVDA exposure via long-dated LEAPs funded by short near-term calls; size 1–4% portfolio depending on risk appetite. Consider relative trades long NVDA vs short TSLA (valuation risk) or vs long‑duration cloud names if GPU supply normalizes. Use volatility strategies (sell 30–45d 25–35Δ calls on rallies >15%; buy 12–24m LEAPs on dips >10%).

Contrarian Angles: Consensus underestimates dependency on TSMC and export policy; implied volatility for NVDA may be overpriced near earnings while multi‑year demand could be underpriced. Historical parallel: Nvidia’s prior wave (2016–18) showed outsized moves then mean reversion when competition matured — set stop/profit rules (20–40% bands).

Key Decisions for Investors

• Establish a 2–3% long position in NVDA via Jan 2027 LEAPs (buy NVDA Jan 17 2027 400C) funded by selling 3‑month 1–2% OTM calls on rallies; add another 1% on any pullback >10% within 90 days. Target horizon 12–36 months; take profits if NVDA rises +40% or guidance weakens sequentially.
• Implement a pair trade: long NVDA 1.5% vs short TSLA 0.75% (equity short) to express AI vs overvalued auto exposure; trim short if TSLA down >25% or NVDA up >30% relative performance.
• If NVDA rallies >15% in 10 trading days, sell 30–45d 25–35Δ calls (covered if long stock) to harvest elevated IV; alternatively, sell 30d puts after a pullback >10% below 20‑day MA to collect premium, size 0.5–1% each trade.
• Monitor three catalysts over next 60–120 days before scaling: (1) TSMC capacity guidance and wafer allocation announcements, (2) US export control policy updates affecting GPUs to China, and (3) NVDA quarterly guidance — if any are negative, reduce NVDA net exposure by 50% within 5 trading days.