NVIDIA GTC 2026: Horizontally Open, Vertically Integrated.

Saved in:
Bibliographic Details
Title: NVIDIA GTC 2026: Horizontally Open, Vertically Integrated.
Authors: WONG, KENNETH
Source: Digital Engineering 247. Jun2026, Vol. 32 Issue 4, p10-12. 3p. 2 Color Photographs.
Subjects: Artificial intelligence, NVIDIA Corp., Simulation software, Business partnerships, Huang, Jen-Hsun, 1963-, Technology conferences, Design software
Abstract: The article covers NVIDIA's annual conference where Chief Executive Officer Jensen Huang announced a shift from perception to reasoning artificial intelligence, allowing users to query unstructured data with graphics processing unit acceleration. Topics include domain specific acceleration for various industries, partnerships with design and simulation software companies; and the introduction of the Vera Rubin artificial intelligence factory platform.
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 194413447
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: NVIDIA GTC 2026: Horizontally Open, Vertically Integrated.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22WONG%2C+KENNETH%22">WONG, KENNETH</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Digital+Engineering+247%22">Digital Engineering 247</searchLink>. Jun2026, Vol. 32 Issue 4, p10-12. 3p. 2 Color Photographs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22NVIDIA+Corp%2E%22">NVIDIA Corp.</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+software%22">Simulation software</searchLink><br /><searchLink fieldCode="DE" term="%22Business+partnerships%22">Business partnerships</searchLink><br /><searchLink fieldCode="DE" term="%22Huang%2C+Jen-Hsun%2C+1963-%22">Huang, Jen-Hsun, 1963-</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+conferences%22">Technology conferences</searchLink><br /><searchLink fieldCode="DE" term="%22Design+software%22">Design software</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The article covers NVIDIA's annual conference where Chief Executive Officer Jensen Huang announced a shift from perception to reasoning artificial intelligence, allowing users to query unstructured data with graphics processing unit acceleration. Topics include domain specific acceleration for various industries, partnerships with design and simulation software companies; and the introduction of the Vera Rubin artificial intelligence factory platform.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194413447
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 3
        StartPage: 10
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: NVIDIA Corp.
        Type: general
      – SubjectFull: Simulation software
        Type: general
      – SubjectFull: Business partnerships
        Type: general
      – SubjectFull: Huang, Jen-Hsun, 1963-
        Type: general
      – SubjectFull: Technology conferences
        Type: general
      – SubjectFull: Design software
        Type: general
    Titles:
      – TitleFull: NVIDIA GTC 2026: Horizontally Open, Vertically Integrated.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: WONG, KENNETH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 26381702
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Digital Engineering 247
              Type: main
ResultId 1