Delta Air Lines, Inc.NYSE: DAL

Delta Bridges Energy and Compute for AI Factories Based on NVIDIA DSX™

· Issued by Delta Air Lines, Inc. via PR Newswire

Summary by 6ix AI

Delta Electronics, which makes power management and green energy products, said on September 17, 2026 that it is developing power and cooling infrastructure to speed up the deployment of AI factories (computing facilities built for AI) based on NVIDIA DSX, NVIDIA's platform for designing, building and running AI factories.

Key details

  • The NVIDIA DSX AI Factory Platform combines reference designs, open software, accelerated computing systems, facilities infrastructure and partner technologies in one platform.
  • Delta's offering covers onsite energy, facility power, power and cooling at the row and rack level, and chip-level solutions.
  • Delta says its integrated power and cooling infrastructure is designed to speed time to first production and to get more AI output (measured in tokens, the units AI models process) from every available megawatt of power.

6ix AI wrote this summary from the release below and checked it against the release.

On 6ix: 6ix.com/news/delta-bridges-energy-and-compute-for-ai-factories-based-on-nvidia-dsxtm

From onsite energy to the AI rack, Delta integrates power and cooling infrastructure to speed time to first production and maximize token performance per megawatt.

FREMONT, Calif., Sept. 17, 2026 /PRNewswire/ -- Delta Electronics, a global leader in power management and smart green solutions, today announced its development to speed up the deployment of AI factories based on NVIDIA DSX. The NVIDIA DSX AI Factory Platform brings together reference designs, open software, accelerated computing systems, facilities infrastructure and partner technologies in a codesigned platform for AI factory design, deployment and operations. Delta brings the physical infrastructure bridge between energy availability and compute productivity — connecting onsite energy, facility power, row and rack-level power and cooling, as well as chip-level solutions, enabling customers to accelerate token production and ultimately generate higher AI yield from every available megawatt.

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