Key Points
- SUSE partners with NVIDIA to launch unified software stack for enterprise AI deployment
- Platform enables companies to keep sensitive data within private infrastructure
- IDC predicts 60 per cent of Global 2000 enterprises will operate AI factories by 2028
SUSE, the enterprise open source software company, has partnered with NVIDIA to launch a new platform that allows businesses to build and run artificial intelligence applications while keeping sensitive data within their own infrastructure. The company announced SUSE AI Factory with NVIDIA on Wednesday, targeting enterprises that need to deploy AI at scale without sending proprietary information to external cloud services.
The platform addresses a growing concern among large organisations, particularly those in regulated industries such as banking and healthcare, that want to use advanced AI tools but face strict requirements around where their data can be stored and processed.
For Indian enterprises navigating the country’s evolving data protection landscape, such tools offer a path to AI adoption without compromising on data localisation requirements.
The solution combines SUSE’s Linux-based infrastructure software with NVIDIA’s AI development tools. It provides what SUSE describes as a complete software stack that handles everything from initial development to large-scale production deployment.
What the Platform Offers
SUSE AI Factory functions as an automated system that standardises how AI applications are built, tested and deployed across an organisation. Developers can experiment with AI models in isolated testing environments, while IT operations teams manage rollouts through a single dashboard or through automated deployment workflows.
The platform includes several NVIDIA technologies. These include NIM microservices, which are pre-packaged AI capabilities that developers can add to their applications without building them from scratch. It also incorporates NVIDIA’s Nemotron models, which are open AI models that companies can customise for their specific needs.
For organisations managing computing resources, the platform uses NVIDIA Run:ai for GPU orchestration, a system that allocates graphics processing units, the specialised chips that power AI calculations, across different workloads based on demand.
Thomas Di Giacomo, Chief Technology and Product Officer at SUSE, said the platform addresses a fundamental tension facing AI teams. “AI developers, users and operations teams are in a catch-22 with AI, they want to innovate quickly but must secure these types of workloads, agents and processes, to ensure full auditability before fully running them in production,” he said.
“SUSE AI Factory with NVIDIA gives them a one-stop solution for end-to-end stability, security and sovereignty, while benefitting from today’s and future AI innovation,” he added.
Enterprise AI Adoption Accelerating
The launch comes as enterprise adoption of AI infrastructure continues to grow rapidly. According to IDC FutureScape research, 60 per cent of Global 2000 enterprises will operate AI factories as core AI infrastructure by 2028. The research firm noted that organisations with such infrastructure can deploy AI applications five times faster than those without.
John Fanelli, Vice President of Enterprise Software at NVIDIA, said the collaboration addresses requirements around data control. “Enterprise adoption of AI is accelerating, creating demand for infrastructure that ensures data control and governance for regulated workloads,” Fanelli said.
“Our collaboration with SUSE addresses this requirement by delivering an open, full-stack AI Factory built on a foundation of security and sovereignty,” Fanelli added.
Security and Sovereignty Features
The platform incorporates what SUSE calls zero-trust security, an approach where every user and device must be verified before accessing any system resource, rather than assuming anything inside a network is safe. This extends to AI workloads, wrapping NVIDIA deployments in security controls and governance frameworks.
For organisations operating in environments without internet connectivity, known as air-gapped deployments, the platform supports deployment from individual developer machines to isolated edge computing clusters. This capability is relevant for defence, critical infrastructure and other sectors where systems must operate independently of external networks.
The platform builds on SUSE’s existing products including SUSE Rancher Prime for managing containerised applications and SUSE Linux Enterprise Server as the underlying operating system. It also incorporates NVIDIA NemoClaw, which uses SUSE’s lightweight K3s technology to provide a reference architecture for deploying autonomous AI agents with security controls.
Your Questions, Answered
What is SUSE AI Factory with NVIDIA?
SUSE AI Factory is a unified software platform that combines SUSE’s Linux-based infrastructure with NVIDIA’s AI development tools. It enables enterprises to build, deploy and manage AI applications while keeping sensitive data within their own private infrastructure rather than external cloud services.
Why does digital sovereignty matter for enterprise AI?
Digital sovereignty allows organisations to maintain control over where their data is stored and processed. For companies in regulated industries or countries with data localisation requirements, this ensures compliance with legal mandates while still enabling AI adoption.
What NVIDIA technologies are included in the platform?
The platform includes NVIDIA NIM microservices for pre-packaged AI capabilities, Nemotron open AI models, NeMo for building AI agents, Run:ai for GPU orchestration, and NemoClaw for deploying autonomous AI agents with security controls.
Who is the target audience for SUSE AI Factory?
The platform targets large enterprises, particularly those in regulated industries such as banking, healthcare and defence, that need to deploy AI at scale but face strict requirements around data security, governance and localisation.