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Nutanix, Inc. is an American cloud computing company that sells software for datacenters and hybrid multi-cloud deployments. This includes software for virtualization, Kubernetes, database-as-a-service, software-defined networking, security, as well as software-defined storage for file, object, and block storage.
The analysis highlights History and Companies as prominent areas in the source structure around Nutanix.
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 Nutanix shows recurring relationship patterns in the source. For example, Nutanix → Ajeet Singh, Aron, Blumberg Capital, Cohesity, Dheeraj Pandey, In, It, Khosla Ventures, Lightspeed Venture Partners, Mohit Aron, Nutanix's, September, Series, The, Venture Another extracted example is Nutanix → Acropolis, Acropolis HyperVisor, AHV, AWS, Azure, Files, Frame, HCI, In, Linux KVM, MSP, NDB, Prism, The, This. 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.
software company storage public million cloud 2020 virtualization platform business inc data san computing pandey aron operating startup nutanix's ipo
TTTA extracted 52 structured relationships around Nutanix. Examples in this analysis include Nutanix → Founded → 2009; 17 years ago (2009) and Nutanix → Founders → Dheeraj Pandey. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Nutanix | Founded | 2009; 17 years ago (2009) | 1.00 | infobox |
| Nutanix | Founders | Dheeraj Pandey | 1.00 | infobox |
| Nutanix | Founders | Mohit Aron | 1.00 | infobox |
| Nutanix | Founders | Ajeet Singh | 1.00 | infobox |
| Nutanix | Headquarters | San Jose, California, U.S. | 1.00 | infobox |
| Nutanix | Key people | Rajiv Ramaswami (president & CEO) | 1.00 | infobox |
| Nutanix | Net income | US$188 million (2025) | 1.00 | infobox |
| Nutanix | Number of employees | 7,800 (2025) | 1.00 | infobox |
| Nutanix | Operating income | US$173 million (2025) | 1.00 | infobox |
| Nutanix | Products | Enterprise cloud platform | 1.00 | infobox |
| Nutanix | Products | Business software | 1.00 | infobox |
| Nutanix | Products | Internet of things | 1.00 | infobox |
| Nutanix | Revenue | US$2,538 million (2025) | 1.00 | infobox |
| Nutanix | Total assets | US$3,283 million (2025) | 1.00 | infobox |
| Nutanix | Total equity | US$–695 million (2025) | 1.00 | infobox |
| Nutanix | Traded as | Nasdaq: NTNX (Class A) | 1.00 | infobox |
| Nutanix | Traded as | S&P 400 component | 1.00 | infobox |
| Nutanix | Type | Public | 1.00 | infobox |
| Nutanix | Website | nutanix.com | 1.00 | infobox |
The concept neighborhoods around Nutanix bring nearby vocabulary together. In this analysis, examples include Software, Announced and Infrastructure. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Nutanix, one of the stronger structural bridges in this analysis connects Nutanix with History. 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 Nutanix to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Nutanix · EN edition · Analysis: TopicsToTalkAbout