NVIDIA Corporation
NVDAleaderNVIDIA is the dominant designer of graphics processing units and AI accelerator chips. Its data-center GPU monopoly powers the generative-AI revolution, with the H100 and successor Blackwell GPUs serving as the de-facto standard for training and running large language models.
제품 및 매출
제품별 매출 비중
매출 구성 ($130.5B)
정적 데이터 (실시간 재무 로딩 중…)
부문별 구성 및 주요 고객사
제품 상세 설명
Data-center AI training and inference accelerators based on the Hopper architecture
Next-generation Blackwell-architecture data-center GPUs for large-language-model workloads
Consumer and professional gaming GPUs
InfiniBand and Ethernet switches, NICs, and DPUs for data-center interconnects
DRIVE Orin and Thor SoCs for autonomous vehicles and robotics
R&D 파이프라인
Next-gen GPU with 288GB HBM3e and 1.5x the Blackwell B200 performance. Targets 2025 data-center deployments for hyperscalers.
Post-Blackwell architecture with NVLink 6, next-gen HBM4 memory, and enhanced transformer-engine for future LLM training workloads.
Full rack-scale AI supercomputer combining 72 Blackwell GPUs with NVLink switches. Available now to hyperscalers; backlog extends into 2026.
Physical AI and robotics simulation platform using video-generative world foundation models for training autonomous vehicles and industrial robots.
2000 TOPS automotive compute platform for level 4 autonomous driving. Replacing Orin in next-gen vehicle platforms at Mercedes, BYD.
공급망 관계
주요 공급업체
Wafer fabrication for all NVIDIA GPUs
영향: Critical — sole advanced-node foundry
HBM3e memory for H100/H200
영향: High — secondary HBM supplier
HBM3e memory modules
영향: High — primary HBM supplier
HBM3e, GDDR6X memory
영향: Medium — third HBM supplier
주요 고객사
Azure AI GPU clusters
영향: $15B+ annually
Google Cloud AI infrastructure
영향: $8B+ annually
AWS GPU instances
영향: $10B+ annually
LLM training clusters
영향: $12B+ annually
Oracle Cloud GPU infrastructure
영향: $4B+ annually
Training GPUs for FSD
영향: $2B+ annually
매크로 & 시장 현황
WFE(반도체 장비) 업사이클 + AI HBM 슈퍼사이클 진입
TSMC 가동률
HBM 수요 성장
WFE 시장 규모
리드타임 (장비)
매크로 요약
NVIDIA is the primary beneficiary of the AI infrastructure supercycle. Hyperscaler capex commitments of $320B+ in 2026 drive GPU demand that exceeds supply through at least H1 2026. Interest rate cuts reduce cost of capital for AI infrastructure investment, further accelerating spend.
NVDA 수혜 요인
- ▲Hyperscaler AI capex at record highs: Microsoft $80B, Meta $65B, Google $75B, Amazon $105B in FY2026
- ▲Inference demand growing faster than training — Blackwell NVL72 rack-scale systems address this directly
- ▲Sovereign AI: governments building national AI infrastructure (UAE, Saudi, Japan, France) — new demand source
- ▲Interest rate cuts reduce cost of capital for long-duration AI infrastructure projects
- ▲Export restrictions on China accelerate US/Europe AI buildout to compensate
NVDA 리스크 요인
- ▼US export controls on H20/H100 to China (~$5-8B annual revenue at risk)
- ▼TSMC advanced node capacity constraints limit upside (CoWoS packaging bottleneck)
- ▼Rising competition from custom silicon (Google TPU v5, Amazon Trainium, Microsoft Maia) in hyperscaler inference
- ▼AMD MI300X gaining traction in inference — price competition risk on commoditized inference workloads
- ▼Valuation premium (30x+ forward PE) leaves little room for execution miss
다음 주요 이벤트
공급망 이슈
TSMC CoWoS-L 캐파 확충에도 GB300 수요가 공급을 3~4배 초과. Blackwell 출하 대기 기간 14~18주로 연장.
Foxconn·Flextronics와 협력, 멕시코 과달라하라에 AI 서버 최종조립 라인 확충. USMCA 적용으로 관세 25% 회피.
미 상무부, H20 칩 대중 수출 추가 제한 검토 중. NVDA 중국 매출 비중 약 13%로 하향 리스크.
최신 뉴스
AI 분석
NVIDIA Corporation의 AI 공급망 분석을 받으려면 "AI 분석 받기"를 클릭하세요.
연관 매크로 테마
모든 테마 보기Macro Information Asymmetry
Beyond insider trading — knowing the direction of policy, resource flows, and macro turning points before the market prices them in. Flowvium's news gap score quantifies this edge.
Sovereign Wealth & State Capitalism
Norway's $1.7T GPFG, Saudi Arabia's PIF, and China's CIC don't just invest — they shape industrial policy across continents. Understanding their flows reveals where governments think the next decade is heading.
기업 정보
연쇄 위치
연쇄 내 역할
leader
일반적 지연
0 (trigger)
NVIDIA's data-center guidance is the single most important demand signal for AI chips, HBM memory, and advanced packaging.
전체 연쇄 분석 보기섹터 현황 — 반도체
섹터 뉴스WFE(반도체 장비) 업사이클 + AI HBM 슈퍼사이클 진입
TSMC 가동률
HBM 수요 성장
WFE 시장 규모
리드타임 (장비)
핵심 테마
- •AI 가속기(H100/B200) 수요 공급 불균형 지속
- •Gate-All-Around 공정 전환 → 장비 교체 사이클
- •HBM3e/HBM4 양산 경쟁 — SK하이닉스·마이크론·삼성
다음 주요 이벤트
- ◆TSMC Q2 실적 (2026.04.17)
- ◆NVIDIA GB300 양산 착수 발표