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3D XPoint: History & Technology
3D XPoint (pronounced three-D cross point) is a discontinued non-volatile memory (NVM) technology developed jointly by Intel and Micron Technology. It was announced in July 2015 and was available on the open market under the brand name Optane (Intel) from April 2017 to July 2022. Bit storage is based on a change of bulk resistance, in conjunction with a…
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3D XPoint topic overview
The analysis highlights History and Technology as prominent areas in the source structure around 3D XPoint.
Related topics
53
Source areas
4
Connected nodes
57
Extracted relationships
77
Concept neighborhoods
25
Bridge connections
57
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 · 22 topics
Overview · 15 topics
Compatibility · 14 topics
Using Optane SSDs for memory expansion or disk caching · 2 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.
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 3D XPoint 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 3D XPoint shows recurring relationship patterns in the source. For example, 3D XPoint → At Intel Developer Forum, DRAM, GB, Gbit, IM Flash, IM Flash Technologies LLC, In, Initially, Intel, Intel-Micron, IOPS, Lehi, Micron, On March, Optane, PCI Express, PCIe, PCIe NAND, QuantX, SSDs Another extracted example is 3D XPoint → AnandTech, August, December, Despite, Intel, Intel's Optane, IOPS, Optane, Optane SSDs, Optane-based SSDs, P3700 NVMe, ServeTheHome, SSDs, Storage Review, Tom's Hardware, XPoint, XPoint SSDs. Use these groups to spot repeated connection types before inspecting the individual relationships.
3D XPoint
Top relations
related to Initial production· 24
3D XPoint → At Intel Developer Forum, DRAM, GB, Gbit, IM Flash, IM Flash Technologies LLC, In, Initially, Intel, Intel-Micron, IOPS, Lehi, Micron, On March, Optane, PCI Express, PCIe, PCIe NAND, QuantX, SSDs
3D XPoint → According, But, Crossbar Inc, Development, GST, Intel, Intel CEO Brian Krzanich, Mark Durcan, Micron, PCM, ReRAM, Similarities, Specifically, XPoint
related to Sale of Lehi fab, and discontinuation· 14
3D XPoint → Compute Express Link, CXL, However, In July, Intel, Intel Optane, January, Micron, On March, Optane, Texas Instruments, The Lehi, US, XPoint
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.
3D XPoint relationships Subject–Predicate–Object triples
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 77 structured relationships around 3D XPoint. Examples in this analysis include read-modify-write → instance of → techniques and Cascade Lake were designed with inbuilt support for 3D XPoint → instance of → chipsets. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
read-modify-write
instance of
techniques
0.80
text
caching used to enhance traditional SSDs are not needed to obtain high performance
instance of
techniques
0.80
text
Cascade Lake were designed with inbuilt support for 3D XPoint
instance of
chipsets
0.80
text
Storage Review concluding in August 2018 that for low-latency workloads
instance of
with reviewers
0.80
text
3D XPoint was producing 500
instance of
with reviewers
0.80
text
000 4K sustained IOPS for both reads
instance of
with reviewers
0.80
text
writes
instance of
with reviewers
0.80
text
with 3
instance of
with reviewers
0.80
text
3D XPoint
related to Development
Development
0.60
section
3D XPoint
related to Development
XPoint
0.60
section
3D XPoint
related to Development
Intel
0.60
section
3D XPoint
related to Development
Micron
0.60
section
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 3D XPoint bring nearby vocabulary together. In this analysis, examples include 3d, Xpoint and Storage. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
3D XPoint
3d
Xpoint
Storage
Non-volatile
Development
Memory
Based
Intel
Like
Ram
Technology
Announced
3d xpoint
3d
Xpoint
Storage
Based
Non-volatile
Development
Memory
Intel
Like
Material
Ram
Technology
non-volatile memory
Nvram
Ram
Micron
Xpoint
Ssds
Storage
Used
Intel
Optane
Caching
Main
Memory
intel
Optane
Ssds
Memory
Technology
Xpoint
Announced
Devices
Storage
Micron
Non-volatile
Available
Cache
micron technology
Non-volatile
Storage
Based
Intel
Flash
Xpoint
Drive
Resistance
Caching
Data
Main
Cache
dynamic random-access memory
Ssds
Storage
Xpoint
Used
Intel
Optane
Caching
Main
Non-volatile
Like
Regular
Micron
flash memory
Ssds
Storage
Xpoint
Used
Intel
Micron
Optane
Caching
Main
Non-volatile
Like
Regular
caching
Also
Disk
Drive
Main
Cache
Fast
Used
Nvram
Ssds
Memory
Initial
Non-volatile
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 3D XPoint, one of the stronger structural bridges in this analysis connects 3D XPoint 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.
Min side: 3
3D XPoint — History· splits 35 ⟂ 233D XPoint — Overview· splits 42 ⟂ 163D XPoint — Compatibility· splits 43 ⟂ 153D XPoint — Using Optane SSDs for memory expansion or disk caching· splits 55 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
3D XPoint
Nodes58
Edges57
Triples77
Avg. degree1.97
Density0.034483
Components1
Source & methodology
TTTA analyzes the structure around 3D XPoint to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
