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🐂 NBIS — Company Profile (Teaching)

Teaching site, not investment advice. Specific market cap / stock price / financial figures change frequently and are intentionally omitted; use the SEC + Yahoo Finance links below to pull real-time data yourself.

📌 Basics

Dimension Content Source
Core business Specialty AI GPU cloud (Neocloud) — European Neocloud spun from Yandex (Russia) international operations; primarily offers GPU compute as a service wiki
Founded / HQ 2024 (spin-off) / Amsterdam, Netherlands (formerly Yandex N.V. international business) wiki
CEO Arkady Volozh (former Yandex founder, current Nebius Group CEO) Company announcement
Primary listing NASDAQ: NBIS (re-listed 2024) —
Fiscal year Calendar year (Jan 1 – Dec 31) SEC EDGAR

💡 Real-time market cap / share price / GPU deployment / RPO: see SEC primary + IR links below.

🏭 Supply Chain Coordinates (Part 1-C6 framework)

Upstream (Who NBIS Depends On)

Supplier What flows Key dependency
NVDA H100/H200/Blackwell GPUs + Mellanox networking Near single-source upstream
European datacenter power + sites (Finland / Netherlands / France) Power / cooling (European power costs higher than US but green-power ESG selling point achievable) Critical
USD + EUR capital market financing GPU procurement financing Leverage

Downstream (Who Depends on NBIS)

Customer Relationship Concentration
European AI startups (Mistral, Aleph Alpha, etc.) Sovereign / regional AI cloud preference Diversified (but diluted by megadeals below)
MSFT 2025/09 5-year ~$17.4B (expandable to ~$19.4B) — Vineland NJ data center Extreme, first megadeal
META 2026/03 5-year up to ~$27B — NVIDIA Vera Rubin platform delivery starting 2027 ($12B dedicated + up to $15B incremental) Extreme, largest single hyperscaler-independent cloud contract globally
Global AI startups + enterprises Price advantage vs. hyperscalers Diversified (remainder)
NVDA NVDA is strategic investor in NBIS (member of 2024/12 $700M strategic investment round) Strategic

Competitors

  • Hyperscalers: AMZN AWS / MSFT Azure / GOOGL GCP (all strong in Europe)
  • Neocloud public peer: CRWV (closest US-listed peer)
  • European sovereign cloud: OVHcloud (OVH.PA, France) / Scaleway (France) — but weaker AI GPU specialty
  • Private Neocloud: Lambda Labs / Crusoe / Together AI

💼 Business Model + Value Capture (Part 1-C7 view)

  • Revenue mix: Primarily GPU compute as a service (similar to CRWV) + some non-GPU compute / data analytics (legacy Yandex business declining)
  • Gross margin: Adjusted EBITDA still potentially negative (ramp phase, heavy depreciation + sales expense)
  • Pricing power: Price advantage vs. hyperscalers, but commodity trend caps upside — medium
  • Substitution difficulty: Medium — similar to CRWV, long-term contracts + data migration costs

(For specific quarterly revenue / GPU deployment / RPO, see the latest SEC 10-Q.)

🏰 Moat Assessment (Part 3-C2 Buffett 5-step lens)

Type Strength (0-1) Source
Brand 0.4 Some recognition in European circles; weak global mindshare
Switching cost 0.4 Data migration + regional regulation (GDPR) provides some stickiness
Network effects 0.2 Not classic network effects
Scale + cost 0.4 Much smaller scale than CRWV, but NVDA strategic investment gives priority

Composite: 1.4 / 4 → small moat, but European sovereign AI cloud positioning + GDPR compliance is niche value

⚠️ Key Reverse-Trigger Conditions (Part 3-C5 anti-thesis view)

  • Trigger 1 (quarterly): European AI startup funding contracts — main customer base growth slows
  • Trigger 2 (quarterly): NVDA strategic priority allocation shifts to other Neoclouds (CRWV / Crusoe) — GPU supply doesn't support growth
  • Trigger 3 (low probability): Hyperscaler (AWS / Azure / GCP) large European capacity ramp + price war — NBIS price advantage erodes
  • Trigger 4 (event): EUR / USD severe FX volatility — NBIS revenue is USD-denominated but European costs affect margins
  • Trigger 5 (low probability): Russia / former-Yandex legacy regulatory dispute — historical decoupling risk

🔗 Teaching Cross-References

📚 SEC Primary Filings (look it up yourself)

Real-time quote: Yahoo Finance NBIS

Teaching use · numbers change — learn the method, not the specific figures · investment decisions are based on your own research + risk tolerance