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Nvidia je americká společnost, specializující se na výrobu grafických procesorů pro herní i profesionální trh a systémů na chipu (SoC) pro mobilní zařízení a automobilový trh (podpora umělé inteligence a hlubokého učení). Společnost sídlí ve městě Santa Clara v Silicon Valley státu Kalifornie. Název NVIDIA pochází ze španělského envidia, což znamená závist.
The analysis highlights Řady produktů, Čipy pro konzole and Historie společnosti as prominent areas in the source structure around Nvidia.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Nvidia shows recurring relationship patterns in the source. For example, Nvidia → API, C2050, C2070, CUDA, DirectCompute, DirectX, Díky, ECC, Fermi, Fortran, GB, GB GDDR5, Jedná, Karty Tesla, Nvidia GigaThread Engine, Nvidia Tesla, Oba, OpenCL, PCI Express, Pokud Another extracted example is Nvidia → Ageia, AMD, ATI, ATI Technologies, Chris Malachowsky, Curtis Priem, Dalším, GTX/Ultra, Hybrid Graphics, Jensen Huang, NVIDII, Physics Processing Unit, PhysX, PPU, Společnost, Ta, ULI Electronics, Zakládajícími. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mld společnosti amd grafických physx gpu jsou karty grafické 2025 tesla geforce cuda společnost čipy karet podpora procesorů 2026 sli
TTTA extracted 132 structured relationships around Nvidia. Examples in this analysis include Nvidia → Adresa sídla → Santa Clara, 950 50, USA and Nvidia → Celková aktiva → 206,8 mld. $ (2026) 111,6 mld. $ (2025). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Nvidia | Adresa sídla | Santa Clara, 950 50, USA | 1.00 | infobox |
| Nvidia | Celková aktiva | 206,8 mld. $ (2026) 111,6 mld. $ (2025) | 1.00 | infobox |
| Nvidia | Datum založení | 5. dubna 1993 | 1.00 | infobox |
| Nvidia | Dceřiné společnosti | Nvidia Ltd. (100 %) Icera (100 %) Mental Images Mellanox Technologies | 1.00 | infobox |
| Nvidia | ISIN | US67066G1040 | 1.00 | infobox |
| Nvidia | Klíčoví lidé | Jensen Huang | 1.00 | infobox |
| Nvidia | LEI | 549300S4KLFTLO7GSQ80 | 1.00 | infobox |
| Nvidia | Majitelé | BlackRock (7,4 %) Vanguard Group (7,3 %) Jensen Huang (3,6 %) | 1.00 | infobox |
| Nvidia | Oblast činnosti | Počítačový hardware | 1.00 | infobox |
| Nvidia | Obrat | 215,9 mld. $ (2025) 130,5 mld. $ (2024) | 1.00 | infobox |
| Nvidia | Oficiální web | www.nvidia.com | 1.00 | infobox |
| Nvidia | OpenCorporates ID | us_de/2862596 | 1.00 | infobox |
| Nvidia | Produkty | Grafické karty, grafická jádra, PhysX čipy a chipsety | 1.00 | infobox |
| Nvidia | Provozní zisk | 130,4 mld. $ (2025) 81,5 mld. $ (2024) | 1.00 | infobox |
| Nvidia | Právní forma | Delaware corporation | 1.00 | infobox |
| Nvidia | Předchůdci | 3dfx Ageia | 1.00 | infobox |
| Nvidia | Souřadnice sídla | 37°22′23,88″ s. š., 121°57′57,6″ z. d. | 1.00 | infobox |
| Nvidia | Sídlo | Santa Clara, Kalifornie, USA | 1.00 | infobox |
| Nvidia | Tržní kapitalizace | 4,8 bil. $ (2026) 2,7 bil. $ (2025) | 1.00 | infobox |
| Nvidia | Vlastní kapitál | 157,3 mld. (2026) 79,3 mld. $ (2025) | 1.00 | infobox |
| Nvidia | Výsledek hospodaření | 120,1 mld. $ (2025) 72,9 mld. $ (2024) | 1.00 | infobox |
| Nvidia | Zakladatelé | Jensen Huang, Curtis Priem a Chris Malachowsky | 1.00 | infobox |
| Nvidia | Zaměstnanci | 42 000 (2026) | 1.00 | infobox |
The concept neighborhoods around Nvidia bring nearby vocabulary together. In this analysis, examples include Grafických, Společnosti and Grafické. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Nvidia, one of the stronger structural bridges in this analysis connects Nvidia with Řady produktů. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Nvidia to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Řady produktů, Čipy pro konzole & Historie společnosti, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Nvidia · CS edition · Analysis: TopicsToTalkAbout