NVIDIA unveils DSX platform as AI Factory infrastructure expands globally to meet compute demand

NVIDIA AI Cloud Ecosystem Expands Worldwide to Meet Global AI Compute Demand

Fast-growing ecosystem helps enterprises, startups, nations, AI labs and developers scale agentic AI applications. The NVIDIA AI Cloud ecosystem is accelerating the global buildout of AI factory infrastructure. Partners are expanding capacity to meet growing demand from enterprises, startups, nations, AI labs and developers scaling agentic AI applications. NVIDIA AI Clouds are a growing ecosystem of purpose-built clouds serving the exploding token demand behind today's most popular AI applications. These AI clouds have been co-designed with NVIDIA's full-stack AI infrastructure to meet surging demand for AI from enterprises, startups and nations looking for new vendors and regional capacity. They combine NVIDIA accelerated computing, networking and AI software to help partners support training, fine-tuning, inference, agentic AI, physical AI and sovereign AI deployments. Specific configurations vary by partner and workload. AI cloud partners choose NVIDIA for the best economics -- lowest token cost, best throughput per watt -- to run frontier and open source AI. Built with NVIDIA accelerated computing, networking and AI software, these clouds bring AI factories closer to where data, developers, users and industries are, helping customers train, tune and run agentic AI applications at scale. The ecosystem spans nearly every geography, supporting regional and sovereign AI capacity for frontier model builders, enterprises, startups, software providers and national AI programs. "Every company and every country needs AI factory infrastructure to turn data into intelligence," said Jensen Huang, founder and CEO of NVIDIA. "NVIDIA AI Clouds bring full-stack AI factories closer to the regions, industries and developers building the next generation of AI, from model training to real-time inference and AI agents that will transform how people and organizations work." Broad AI Cloud Ecosystem AI cloud providers, telcos, sovereign AI builders and vertically integrated infrastructure providers are building AI factories with NVIDIA to serve customers across frontier AI, enterprise AI, telecommunications, developer clouds and national AI programs. Regional growth is accelerating across Southeast Asia, Australia and the Americas, with NVIDIA AI Clouds now reaching six continents following the addition of Cassava in Africa and Claro in South America. NVIDIA AI Clouds are pairing large-scale AI factory buildouts with demand from leading AI labs, enterprises, governments and digital service providers. Partners including CoreWeave, Firmus, IREN and Nscale are expanding AI infrastructure to support frontier model development, enterprise AI, agentic applications and high-volume inference. Across regions, NVIDIA AI Clouds are bringing AI factories closer to local industries and sovereign AI ecosystems. Partners including Firebird, GMI Cloud, Indosat Ooredoo Hutchison, Lambda, Naver Cloud, Sharon AI, Yotta and YTL are supporting emerging AI companies, national AI initiatives, financial services, telecommunications, manufacturing, education, healthcare and developer ecosystems. For governments and regulated industries, regional AI clouds can support sovereign controls and local compliance requirements. For developers and enterprises, they can reduce friction in accessing accelerated infrastructure for AI agents, enterprise copilots, digital workers and other AI services that must run close to users and data. Firmus Expands AI Factory Footprint Across Australia and Asia-Pacific Firmus Technologies is expanding its AI factory footprint across South Australia and Southeast Asia, building energy-efficient infrastructure to support growing demand for large-scale training, inference and agentic AI workloads. Through Project Southgate, Firmus is developing AI factories in Tasmania, Melbourne, South Australia and New South Wales, with an emphasis on renewable power, advanced cooling and modular infrastructure that can bring capacity online faster. The company has also deployed AI infrastructure in Singapore through a partnership with ST Telemedia Global Data Centres. Firmus is using NVIDIA's accelerated computing and reference architecture as part of its buildout, with NVIDIA DSX helping streamline AI factory design, deployment and operations. Engineered in alignment with the NVIDIA DSX platform, the liquid-cooled Firmus HyperCube is designed to fast-track modular AI Factory builds and optimize for low cost per token. Firmus is innovating across the AI factory supply chain, including cooling and energy. "AI agents are creating a new class of industrial-scale demand for tokens, and Asia-Pacific needs AI factories that can be built faster, liquid-cooled more efficiently and operated at gigawatt scale," said Tim Rosenfield, co-CEO of Firmus. "Together with NVIDIA, Firmus is building liquid-cooled, AI infrastructure designed to deliver AI tokens as efficiently and rapidly as possible for the region's most important customers." CoreWeave Advances Physical AI and Next-Generation AI Factories CoreWeave is expanding its NVIDIA AI Cloud platform to support the next wave of agentic AI, physical AI and frontier model workloads. An early adopter of NVIDIA Vera Rubin and the NVIDIA Vera CPU, CoreWeave is also among the first to adopt NVIDIA Spectrum-X Ethernet Photonics, helping provide the networking foundation for million-GPU AI factories. CoreWeave is extending its platform for robotics and physical AI workflows, including using NVIDIA Cosmos 3, the latest frontier world foundation model, to help teams generate synthetic data, fine-tune models and accelerate robotics data flywheels. Leading AI labs, including Anthropic, build on CoreWeave's infrastructure to support frontier models at scale. "AI factories are becoming the foundation for the agentic era," said Michael Intrator, cofounder, chairman and CEO of CoreWeave. "Together with NVIDIA, CoreWeave is building the full-stack cloud infrastructure that gives AI labs, enterprises and developers the performance, scale and reliability they need to turn frontier models, AI agents and physical AI systems into production applications." Nebius Builds an Open Physical AI Workbench for Agentic Workflows Nebius is expanding its NVIDIA AI Cloud with a full-stack platform for training, inference and physical AI development. An early adopter of NVIDIA Vera Rubin, Nebius is building integrated AI infrastructure from silicon to software, including its Nebius AI Cloud, Token Factory inference layer and new Physical AI Workbench. The workbench brings technologies including NVIDIA Cosmos 3, NVIDIA Isaac Sim and Isaac GR00T into composable workflows that can be assembled by AI agents, helping robotics and autonomous systems teams move faster from simulation and synthetic data to training and evaluation. "Developers should be able to build AI systems without spending weeks wiring together infrastructure," said Arkady Volozh, founder and CEO of Nebius. "With NVIDIA, Nebius is creating an AI cloud where AI agents can compose the tools, data and compute needed to accelerate AI workloads -- from robotics and life sciences to the enterprise -- from experimentation to production." NVIDIA Exemplar Cloud Momentum Since NVIDIA introduced Exemplar Cloud last year, six NVIDIA Cloud Partners have achieved Exemplar Cloud status: CoreWeave, Crusoe, Lambda, Nebius, Vultr and YTL. The growing roster reflects increasing demand for AI cloud infrastructure that can deliver consistent performance, reliability and efficiency for production AI workloads. These providers are helping raise the performance bar across the AI cloud ecosystem, giving enterprises, developers and AI labs more validated options for scaling training, inference and agentic AI services. Engineered for AI Factory Economics As AI shifts from model development to reasoning and high-volume inference, the measure of infrastructure is no longer just capacity announced but also the economics of token output driven by platform utilization, uptime, long asset life and the breadth and depth of useful AI agents people can put to work. Built on NVIDIA full-stack AI factory platforms, AI Clouds help partners optimize infrastructure for these measures. Cost per token is the total cost of ownership metric that directly accounts for hardware performance, software optimization, ecosystem support and real-world utilization. NVIDIA delivers the lowest cost per token in the industry, driven by delivered token throughput, software optimization and full-stack codesign across compute, networking, memory and storage. DSX Helps AI Clouds Bring Capacity Online Faster NVIDIA AI Clouds are adopting the NVIDIA DSX platform to design, build and operate AI factories. DSX brings together validated reference designs, simulation, software and ecosystem technologies to help cloud providers bring capacity online faster, operate more efficiently and maximize revenue. DSX Sim helps teams model and validate AI factories before deployment. DSX Flex helps AI factories dynamically adapt workloads to grid conditions. DSX MaxLPS helps power-constrained AI factories maximize compute within a fixed power budget, enabling up to 40% more GPUs. DSX OS helps automate lifecycle management and operations at scale. DSX helps AI Clouds reduce deployment risk, improve resiliency, deliver more tokens per watt and achieve the lowest cost token.

NVIDIA DSX Gives Infrastructure Builders the Playbook for AI Factories

* Engineered from the ground up for AI factories, the NVIDIA DSX platform defines how next-generation infrastructure is designed, built and operated -- driving lowest token cost and accelerating time to first production across NVIDIA chips, systems, software, facilities and partner technologies. * New DSX MaxLPS software enables AI infrastructure and factories to deliver the lowest token cost by maximizing token performance per megawatt. * Open source, modular DSX OS software brings together lifecycle management, runtime consistency and health automation, resiliency, multi-tenant AI factory operations and platform services. * Industry-leading manufacturers are building NVIDIA DSX-ready systems supporting the buildout of AI factories with extreme codesign. * Growing DSX partnerships across every layer of the stack accelerate the design, deployment and operation of AI factories worldwide. 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, codesigned platform for AI factory design, deployment and operations. NVIDIA is the only company that builds the full 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're not just shipping chips -- we're giving 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 production AI demands." DSX Platform Elements DSX now spans 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 power budget, enabling lowest token cost for AI factories. Combining 45-degrees-Celsius liquid cooling with in-rack technologies that optimize performance per watt, DSX MaxLPS lets operators run up to 40% more GPUs at their most energy-efficient operating point with minimal impact on workload performance. * DSX OS™: Open source, modular software purpose-built for AI factory operations, providing lifecycle management, intelligence scheduling, runtime consistency, health automation, resiliency, multi-tenant operations and platform services. DSX MaxLPS and DSX OS 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 facilities 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, helping NVIDIA, partners and customers to model, validate and optimize infrastructure decisions from planning and design through deployment and operations. * DSX Flex: Connects AI factories to power-grid services, enabling dynamic workload adaptation to grid signals such as load shedding, demand response and pricing events, and orchestrating renewable and hybrid power across utility, onsite renewables and storage. * DSX Exchange™: Enables scalable, secure integration of compute, network, energy, power and cooling plant signals between IT, operational technology and operations agents. Growing DSX Ecosystem NVIDIA is partnering with industry-leading Taiwan system manufacturers to expand the DSX ecosystem, supporting the buildout of AI factories with extreme codesign 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 ASUS, Foxconn, 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 at global scale. Within the ecosystem, model-based systems engineering serves as the bridge between rack design to facility deployment, for an AI infrastructure optimized for token performance per megawatt. Quanta Cloud Technology (QCT) and Pegatron are working with Dassault Systèmes 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 NVIDIA Omniverse DSX Blueprint ecosystem, deepening integration with software partners Cadence, PTC and Siemens. DSX Flex is powering a commercial, multi-megawatt pilot with Emerald AI and Silicon Valley Power to demonstrate grid-responsive AI factories that can dynamically adjust power consumption in response to utility signals while protecting AI workload performance, helping safeguard grid reliability and affordability 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, resilience 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. Watch Huang's keynote and learn more at NVIDIA GTC Taipei.