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Rambus: Technology, History, Companies & Products
Rambus Inc. is an American technology company that designs, develops and licenses chip interface technologies and architectures that are used in digital electronics products. The company, founded in 1990, is well known for inventing RDRAM and for its intellectual property-based litigation following the introduction of DDR-SDRAM memory.
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Rambus topic overview
The analysis highlights Technology, History, Companies and Products as prominent areas in the source structure around Rambus.
Related topics
117
Source areas
4
Connected nodes
121
Extracted relationships
140
Concept neighborhoods
38
Bridge connections
121
What this topic covers Research coverage
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.
History · 67 topics
Lawsuits · 37 topics
Overview · 9 topics
Technology · 4 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
March 1990; 36 years ago (1990-03)
Founders
Mark Horowitz · Mike Farmwald
Industry
Semiconductors
Headquarters
San Jose, California, U.S.
Key people
Luc Seraphin (CEO)
Net income
US$334 million (2023)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Rambus connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Rambus shows recurring relationship patterns in the source. For example, Rambus → After, CAFC, DDR, DDR2, GDDR2, GDDR3, Hynix Semiconductor, In, In January, In June, In March, In May, In October, Infineon, Infineon Technology, Inotera Memories, Judge Payne, Nanya Technology, November, Rambus's Another extracted example is Rambus → Commission, Federal Trade Commission Act, FTC, In May, June, May, McGuire, McGuire's, On August, SDRAM, Sherman Antitrust Act, Soon, Specifically, Stephen, The FTC's, United States Federal Trade. Use these groups to spot repeated connection types before inspecting the individual relationships.
Rambus
Top relations
related to Patent lawsuits· 31
Rambus → After, CAFC, DDR, DDR2, GDDR2, GDDR3, Hynix Semiconductor, In, In January, In June, In March, In May, In October, Infineon, Infineon Technology, Inotera Memories, Judge Payne, Nanya Technology, November, Rambus's
related to Federal Trade Commission antitrust suits· 16
Rambus → Commission, Federal Trade Commission Act, FTC, In May, June, May, McGuire, McGuire's, On August, SDRAM, Sherman Antitrust Act, Soon, Specifically, Stephen, The FTC's, United States Federal Trade
related to history· 13
Rambus → Byers, California, Delaware, Goldman Sachs, Kleiner Perkins Caufield, March, Mark Horowitz, Merrill Lynch, Mike Farmwald, Mohr Davidow Ventures, NASDAQ, RMBS, The
related to Lawsuits· 12
Rambus → Appeals, As Rambus, CAFC, During, Federal Circuit, In, Infineon, JEDEC, JEDEC's, Memos, SDRAM, The Court
related to European Commission antitrust suit· 9
Rambus → Against, Article, Commission, EC Treaty, EC Treaty's, European Commission, July, The, This
related to Other settlements· 8
Rambus → Hynix, In, In June, In March, Micron, Nanya, On December, SK Hynix
related to External links· 4
Rambus → GoogleSEC, Inc, Official, OpenCorporates
Founders· 2
Rambus → Mark Horowitz, Mike Farmwald
Traded as· 2
Rambus → Nasdaq: RMBS, S&P 400 component
see also· 2
Rambus → Nvidia, Rambus Inc
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 140 structured relationships around Rambus. Examples in this analysis include Rambus → Founded → March 1990; 36 years ago (1990-03) and Rambus → Founders → Mark Horowitz. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Rambus
Founded
March 1990; 36 years ago (1990-03)
1.00
infobox
Rambus
Founders
Mark Horowitz
1.00
infobox
Rambus
Founders
Mike Farmwald
1.00
infobox
Rambus
Headquarters
San Jose, California, U.S.
1.00
infobox
Rambus
Industry
Semiconductors
1.00
infobox
Rambus
Key people
Luc Seraphin (CEO)
1.00
infobox
Rambus
Net income
US$334 million (2023)
1.00
infobox
Rambus
Number of employees
623 (2023)
1.00
infobox
Rambus
Operating income
US$154 million (2023)
1.00
infobox
Rambus
Revenue
US$461 million (2023)
1.00
infobox
Rambus
Subsidiaries
Cryptography Research
1.00
infobox
Rambus
Total assets
US$1.26 billion (2023)
1.00
infobox
Rambus
Total equity
US$1.04 billion (2023)
1.00
infobox
Rambus
Traded as
Nasdaq: RMBS
1.00
infobox
Rambus
Traded as
S&P 400 component
1.00
infobox
Rambus
Type
Public
1.00
infobox
Rambus
Website
rambus.com
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Rambus bring nearby vocabulary together. In this analysis, examples include Memory, Technology and Patent. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Rambus
Memory
Technology
Patent
Sdram
Antitrust
Manufacturers
Million
Patents
Chip
Royalties
Ftc
Announced
rambus
Memory
Technology
Patent
Sdram
Antitrust
Manufacturers
Million
Patents
Chip
Royalties
Ftc
Announced
memory controllers
Rambus
Sdram
Manufacturers
Technology
Ddr
Rdram
Chips
Royalties
Also
Antitrust
Samsung
Dram
elpida memory
Rambus
Sdram
Manufacturers
Technology
Ddr
Rdram
Chips
Royalties
Also
Antitrust
Samsung
Dram
nanya technology
Memory
Dram
Rambus's
Rdram
Patent
Ddr
Federal
Used
Also
Antitrust
Companies
Manufacturers
micron technology
Memory
Dram
Rambus's
Rdram
Patent
Ddr
Federal
Used
Also
Antitrust
Companies
Manufacturers
technology
Memory
Dram
Rambus's
Rdram
Patent
Ddr
Federal
Used
Also
Antitrust
Companies
Manufacturers
court of appeals for the federal circuit
Commission
Court
Federal
Antitrust
Case
Ftc
Inc
Also
Ruling
Infineon
Claims
Patent
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Rambus, one of the stronger structural bridges in this analysis connects Rambus 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Rambus
Nodes122
Edges121
Triples140
Avg. degree1.98
Density0.016393
Components1
Source & methodology
TTTA analyzes the structure around Rambus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology, History, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
