http://www.henanjusheng.com 2026-06-02 15:58 《中華工控網(wǎng)》翻譯
ABB Expands Collaboration With NVIDIA Through Integration of DSX Blueprint for AI Infrastructure
ABB通過集成DSX Blueprint AI基礎設施,擴大與英偉達的合作
· ABB brings SimReady 3D digital assets – MV switchgear, electrical distribution equipment, and UPS platforms – into NVIDIA Omniverse DSX Blueprint
· Engineers validate electrical, thermal, and compute systems in digital twins before ordering prefabricated modules, compressing design cycles for AI factories
· Builds on October 2025 collaboration to develop 800 VDC power architecture for next-gen AI data centers
· ABB將SimReady 3D數(shù)字資產(chǎn)——中壓開關設備、配電設備和不間斷電源平臺——引入英偉達Omniverse DSX Blueprint
· 工程師在訂購預制模塊之前,通過數(shù)字孿生對電氣、熱管理和計算系統(tǒng)進行驗證,從而大幅縮短人工智能工廠的設計周期。
· 基于2025年10月的合作,共同開發(fā)面向下一代人工智能數(shù)據(jù)中心的800 VDC電源架構
Zurich, Switzerland, June 01, 2026 -- ABB today announced the next phase of its collaboration with NVIDIA to accelerate AI infrastructure deployment. ABB will integrate its power systems as SimReady 3D digital assets into NVIDIA Omniverse DSX Blueprint – enabling data center operators to model, validate, and optimize source-to-rack power distribution before breaking ground.
瑞士蘇黎世,2026年6月1日 —— ABB今日宣布與英偉達開展合作的下一階段,以加速人工智能基礎設施的部署。ABB將把其電力系統(tǒng)作為SimReady 3D數(shù)字資產(chǎn)集成到英偉達Omniverse DSX Blueprint中,使數(shù)據(jù)中心運營商能夠在動工前對從電源到機架的配電進行建模、驗證和優(yōu)化。
ABB's SimReady digital twins – physically accurate 3D representations of medium-voltage switchgear, electrical distribution equipment, and UPS platforms – are purpose-built for DSX co-design workflows.
ABB的SimReady數(shù)字孿生——即對中壓開關設備、電氣配電設備和不間斷電源平臺進行物理精確的三維建模——專為DSX協(xié)同設計工作流而打造。
Once launched, this integration will allow engineers to model source-to-rack power distribution, protection schemes, and energy efficiency at campus scale within a unified digital environment. Allowing the validation of electrical, thermal, and compute systems together before construction begins, while facilitating the order of prefabricated ready-to-install modules.
該集成方案一經(jīng)部署,將使工程師能夠在統(tǒng)一的數(shù)字化環(huán)境中,對園區(qū)級的從電源到機架的配電系統(tǒng)、保護方案以及能源效率進行建模。這不僅可在施工啟動前同步驗證電氣、熱管理和計算系統(tǒng),還能有效推動預制化、即裝即用模塊的有序交付與安裝。
"Through this collaboration, ABB provides the electrification technology leadership that AI demands," said Jorge Lis, Global Data Center Segment Leader, ABB Electrification. "Time-to-first-token drives infrastructure decisions: DSX integration gives our customers a proven path from design to deployment, backed by ABB's global manufacturing reach and local engineering expertise. We deliver the electrical backbone these facilities need to scale at speed."
“通過此次合作,ABB為人工智能所需的關鍵電氣化技術提供了領先優(yōu)勢,”ABB電氣化業(yè)務全球數(shù)據(jù)中心部門負責人Jorge Lis表示,“從設計到部署的全流程效率直接決定了基礎設施的選型與落地:DSX集成方案為客戶打造了一條經(jīng)過驗證的端到端路徑,并依托ABB遍布全球的制造網(wǎng)絡與本地化的工程實力提供有力支撐。我們?yōu)檫@些設施的快速規(guī)模化發(fā)展提供了不可或缺的電力基礎設施。”
Building on the October 2025 collaboration to support 800 VDC architecture announced by NVIDIA, the expanded collaboration aligns ABB's current portfolio and future planned assets with NVIDIA DSX and Omniverse libraries, where physical equipment performance can be tested against AI workload profiles that exceed one megawatt per rack. At the leading edge of AI infrastructure, compute racks will demand medium-voltage distribution, DC power, solid-state protection, and liquid cooling integrated from day one.
基于英偉達于2025年10月宣布的、旨在支持800 VDC架構的合作,此次擴展后的合作將ABB現(xiàn)有的產(chǎn)品組合及未來規(guī)劃中的相關資產(chǎn)與英偉達的DSX和Omniverse庫相銜接,從而能夠在每機架功率超過1兆瓦的AI工作負載場景下對物理設備性能進行測試。在人工智能基礎設施的最前沿,計算機架從一開始就將需要集成中壓配電、直流供電、固態(tài)保護以及液冷技術。
With DSX integration, AI infrastructure developers will gain a proven path from digital design to physical deployment – backed by ABB's global manufacturing reach and local engineering expertise. ABB's MV-UPS and DC power platforms, combined with DSX co-design, will give data center operators the architecture to scale AI facilities with speed, consistency, and repeatability.
借助DSX集成,人工智能基礎設施開發(fā)者將獲得一條從數(shù)字化設計到物理部署的成熟路徑——這一方案由ABB遍布全球的制造網(wǎng)絡與本地工程專長提供有力支撐。ABB的中壓不間斷電源(MV-UPS)與直流供電平臺,配合DSX協(xié)同設計,將為數(shù)據(jù)中心運營商打造一套能夠以高速度、高一致性與高可重復性擴展AI設施的架構。