NVIDIA Corporation

NVDAleader

NVIDIA 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.

⇄ Compare

المنتجات والإيرادات

حصة إيرادات المنتج

توزيع الإيرادات ($130.5B)

بيانات ثابتة (تحميل البيانات المالية…)

Data Center (78%)

Gaming (12%)

Professional Visualization (4%)

Automotive & Robotics (4%)

OEM & Other (2%)

تكوين القطاعات والعملاء الرئيسيون

تفاصيل المنتج

H100 / H200 GPUs52%

Data-center AI training and inference accelerators based on the Hopper architecture

B100 / B200 GPUs18%

Next-generation Blackwell-architecture data-center GPUs for large-language-model workloads

GeForce RTX Series14%

Consumer and professional gaming GPUs

Networking (Mellanox)10%

InfiniBand and Ethernet switches, NICs, and DPUs for data-center interconnects

Automotive / Embedded6%

DRIVE Orin and Thor SoCs for autonomous vehicles and robotics

خط أنابيب البحث والتطوير

تطويرBlackwell Ultra (B300)

H2 2025

Next-gen GPU with 288GB HBM3e and 1.5x the Blackwell B200 performance. Targets 2025 data-center deployments for hyperscalers.

بحثRubin Architecture (R100)

2026

Post-Blackwell architecture with NVLink 6, next-gen HBM4 memory, and enhanced transformer-engine for future LLM training workloads.

تجاريNVIDIA Blackwell NVL72 System

2025 (available)

Full rack-scale AI supercomputer combining 72 Blackwell GPUs with NVLink switches. Available now to hyperscalers; backlog extends into 2026.

تطويرNVIDIA Cosmos (World Foundation Models)

2025-2026

Physical AI and robotics simulation platform using video-generative world foundation models for training autonomous vehicles and industrial robots.

التحققThor Automotive SoC

2025

2000 TOPS automotive compute platform for level 4 autonomous driving. Replacing Orin in next-gen vehicle platforms at Mercedes, BYD.

علاقات سلسلة التوريد

الموردون الرئيسيون

Taiwan Semiconductor Manufacturing Company

Wafer fabrication for all NVIDIA GPUs

التأثير: Critical — sole advanced-node foundry

Samsung Electronics

HBM3e memory for H100/H200

التأثير: High — secondary HBM supplier

SK Hynix

HBM3e memory modules

التأثير: High — primary HBM supplier

Micron Technology

HBM3e, GDDR6X memory

التأثير: Medium — third HBM supplier

العملاء الرئيسيون

Microsoft Corporation

Azure AI GPU clusters

التأثير: $15B+ annually

Alphabet Inc. (Google)

Google Cloud AI infrastructure

التأثير: $8B+ annually

Amazon.com (AWS)

AWS GPU instances

التأثير: $10B+ annually

Meta Platforms

LLM training clusters

التأثير: $12B+ annually

Oracle Corporation

Oracle Cloud GPU infrastructure

التأثير: $4B+ annually

Tesla, Inc.

Training GPUs for FSD

التأثير: $2B+ annually

السياق الكلي والسوقي

반도체أخبار القطاع

WFE(반도체 장비) 업사이클 + AI HBM 슈퍼사이클 진입

TSMC 가동률

92%+

HBM 수요 성장

+180% YoY

WFE 시장 규모

$105B (2026E)

리드타임 (장비)

18~24개월

الملخص الكلي

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.

العوامل الإيجابية لـNVDA

▲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

عوامل المخاطر لـNVDA

▼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

المحفزات القادمة

◆TSMC Q2 실적 (2026.04.17)◆NVIDIA GB300 양산 착수 발표◆AMAT/LRCX/KLAC 실적 시즌 (2026.05)

مشكلات سلسلة التوريد

⚠ 공급 차질GB300 CoWoS 패키징 병목 지속

2026-04

TSMC CoWoS-L 캐파 확충에도 GB300 수요가 공급을 3~4배 초과. Blackwell 출하 대기 기간 14~18주로 연장.

↑ 생산 확대멕시코 조립라인 추가 — 미국 수출 관세 회피

2026-03

Foxconn·Flextronics와 협력, 멕시코 과달라하라에 AI 서버 최종조립 라인 확충. USMCA 적용으로 관세 25% 회피.

⚡ 리스크中 수출통제 강화 — H20 추가 제한 우려

2026-02

미 상무부, H20 칩 대중 수출 추가 제한 검토 중. NVDA 중국 매출 비중 약 13%로 하향 리스크.

آخر الأخبار

جارٍ تحميل الأخبار...

تحليل الذكاء الاصطناعي

انقر "احصل على تحليل AI" للحصول على تحليل سلسلة التوريد لـ NVIDIA Corporation.

المواضيع الكلية ذات الصلة

عرض جميع المواضيع

Macro 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.

News gap13F signalInstitutional front-running

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.

Sovereign wealth fundState capitalismIndustrial policy

معلومات الشركة

المقر الرئيسي

Santa Clara, California, USA

تأسست

1993

الموظفون

32,000+

الموقع الإلكتروني

nvidia.com

موقع التتابع

الدور في التتابع

leader

التأخير النموذجي

0 (trigger)

NVIDIA's data-center guidance is the single most important demand signal for AI chips, HBM memory, and advanced packaging.

عرض التتابع الكامل

نظرة عامة على القطاع — 반도체

أخبار القطاع