News overview:
- Designed from the ground up for AI factories, the NVIDIA DSX platform defines how next-generation infrastructure is designed, built and operated. This ensures the lowest token costs and accelerates time to first production for NVIDIA chips, systems, software, facilities and partner technologies.
- The new DSX MaxLPS software enables AI infrastructure and factories to deliver the lowest token costs by maximizing token performance per megawatt.
- Open source, modular DSX OS software combines lifecycle management, runtime consistency and health automation, resiliency, multi-tenant AI factory operations and platform services.
- Leading manufacturers are building NVIDIA DSX-ready systems that support the buildout of AI factories with extreme co-design.
- Growing DSX partnerships at every layer of the stack are accelerating the design, deployment, and operation of AI factories worldwide.
TAIPEI, Taiwan, May 31, 2026 (GLOBE NEWSWIRE) — NVIDIA GTC Taipei — NVIDIA today announced the NVIDIA DSX™ platform, which gives infrastructure builders a complete playbook to create AI factories.
NVIDIA DSX brings together open source, modular software libraries, application programming interfaces, reference designs, NVIDIA accelerated computing platforms, and partner technologies into a common, co-engineered platform for AI factory design, deployment, and operations.
NVIDIA is the only company that builds the entire AI factory. By aligning every layer of the stack across compute, software, facilities and partner technologies, DSX provides infrastructure builders with a proven framework to design, deploy and operate AI factories at scale.
The integrated platform accelerates deployment, improves operational reliability and resiliency at scale, and enables a broad ecosystem of solutions designed to turn every megawatt into more intelligence at the lowest token cost.
“We don’t just ship chips; we give every infrastructure builder a complete playbook to build AI factories,” said Jensen Huang, founder and CEO of NVIDIA. “With the DSX platform, you can simulate the entire factory before you spend a dollar, validate performance before a single rack is installed, and operate with the kind of reliability that manufacturing AI demands.”
DSX platform elements
DSX now covers the full stack, from silicon and systems to infrastructure software, facilities and partner technologies. The latest additions to the platform include new open source software:
- DSX MaxLPS™: A suite of technologies to maximize token performance per megawatt within a fixed energy budget, enabling the lowest token costs for AI factories. By combining 45 degrees Celsius liquid cooling with in-rack technologies that optimize performance per watt, DSX MaxLPS allows operators to use up to 40% more GPUs at their most energy-efficient operating point with minimal impact on workload performance.
- DSX operating system™: Open source, modular software purpose-built for AI factory operations, providing lifecycle management, intelligence planning, runtime consistency, health automation, resiliency, multi-tenant operations and platform services.
DSX MaxLPS and DSX operating system join an existing set of features under the DSX platform:
- DSX reference design: Generation-specific, validated AI factory architectures covering compute, networking, storage, hardware cluster design and facility infrastructure including power, cooling and controls, as well as civil, structural and architectural design.
- DSX Sim™: High-fidelity simulation layer for the AI factory lifecycle, enabling NVIDIA, partners and customers to model, validate and optimize infrastructure decisions from planning and design to deployment and operations.
- DSX flex: Connects AI factories to grid services, enabling dynamic workload adjustment to grid signals such as load shedding, demand response and price events, and orchestrating renewable and hybrid energy for utilities, on-site renewables and storage.
- DSX Exchange™: Enables scalable, secure integration of computer, network, energy, power, and cooling plant signals between IT, operations technology, and operations agents.
Growing DSX ecosystem
NVIDIA has partnered with leading Taiwanese system manufacturers to expanding the DSX ecosystemto support the development of AI factories with extreme co-design at their core.
NVIDIA cloud partners CoreWeave, Crusoe, Firmus, IREN, Lambda, Nebius, Nscale and Yotta Data Services are deploying core components of the DSX platform stack – DSX Sim, DSX MaxLPS and DSX OS – to reduce risk, improve GPU utilization and bring AI cloud capacity online faster.
Dell Technologies, HPE, Lenovo and Supermicro together with ASUSFoxconn, GIGABYTE, Pegatron, Quanta Cloud Technology (QCT), Wistron and Wiwynn are building NVIDIA DSX-ready systems and contributing simulation-ready assets that enable customers to deploy complete, full-stack AI factory solutions on a global scale.
Within the ecosystem, model-based systems engineering serves as a bridge between rack design and facility implementation, for an AI infrastructure optimized for token performance per megawatt. Quanta Cloud Technology (QCT) and Pegatron are working together Dassault systems to create a live AI factory digital twin configurator to automate rack-to-facility design with increased quality and reduced workload. The adoption of DSX Sim by system manufacturers expands the possibilities NVIDIA Omniverse DSX Blueprint ecosystem, deepening integration with software partners CadencePTC and Siemens.
DSX Flex powers a multi-megawatt commercial pilot Emerald AI and Silicon Valley Power to demonstrate grid-responsive AI factories that can dynamically adjust energy consumption in response to utility signals while protecting AI workload performance, ensuring the reliability and affordability of the electric grid for customers while unlocking additional power capacity to support AI growth.
Partners are adopting various DSX OS software components for lifecycle management, multi-tenancy, security, health automation, resiliency and platform services. Ecosystem partners adopting DSX OS components include Aible, BeyondAI, Bhashini, DCAI, Mirantis, OpenNebula Systems, Rafay, Red Hat, Sarvam, Simplismart, Spectro Cloud, Supermicro, vCluster and Vultr.
Look at Huang main note and read more at NVIDIA GTC Taipei.
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For more information please contact:
Kristin Uchiyama
Business communication
NVIDIA company
press@nvidia.com
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