SUSE®, a company specializing in open, sovereign infrastructure, has announced new capabilities designed to make it easier for enterprises to deploy private artificial intelligence. The additions aim to let organizations tap into the benefits of AI without giving up control over their operations, the protection of their systems, or the management of their technology resources.
As part of this, SUSE has strengthened the protection of autonomous AI agents by integrating the new NVIDIA OpenShell reference architecture into its SUSE AI Factory with NVIDIA platform. This builds on NVIDIA’s own push to put physical limits on AI agents with OpenShell and Sentry, and it brings together several advanced technologies: NVIDIA Vera Rubin, which handles model inference; NVIDIA Vera CPUs, which run OpenShell to manage how agents operate; and NVIDIA BlueField-4 DPUs, which run NVIDIA Sentry, a technology built on NVIDIA DOCA that allows systems to be monitored independently and lets security policies be enforced directly from the hardware.
As one of the partners involved in launching OpenShell, SUSE is playing an active role in pushing for infrastructure that is open, scalable, and built to meet the security needs of large organizations. Its goal is to make it easier to create, isolate, monitor, and control autonomous AI agents under enterprise-grade protection standards.
By combining isolated Kubernetes environments, API gateways, and OpenShell technology, SUSE AI Factory with NVIDIA gives enterprises a secure, supervised execution space. This lets organizations put controls in place over what AI agents do while keeping their systems running at high performance. Its main capabilities include:
- Active governance based on a zero-trust model: Monitoring proxies continuously inspect agent traffic, authorize access according to defined policies, and block unauthorized network requests to help prevent code or data from being extracted.
- Data sovereignty and regulatory compliance: Lets agent code run inside the corporate perimeter, with access policies that restrict the transfer of enterprise intellectual property and proprietary datasets outside the private infrastructure.
- Predictable cost model: Private model deployment, using NVIDIA NIM microservices, removes per-token fees from third-party public APIs and lets infrastructure investment be planned around predictable capacity.
Available with SUSE AI Factory with NVIDIA, the latest release adds zero-trust agent security through the NVIDIA OpenShell reference architecture, together with SUSE Linux Enterprise Server (SLES) for NVIDIA. The solution is designed to offer immediate compatibility with NVIDIA’s next-generation silicon platforms. Together, these additions provide a unified, enterprise-ready foundation that lets developers build production-ready AI applications and autonomous agents, lets platform engineering teams deploy them, and lets enterprise IT departments govern them across any type of infrastructure.
“As autonomous AI agents and advances in next-generation silicon platforms transform enterprise operations, AI sovereignty becomes a non-negotiable requirement,” said Dr. Thomas Di Giacomo, Chief Technology and Product Officer at SUSE. “By combining enterprise Linux built for cutting-edge hardware with active agent security, SUSE AI Factory with NVIDIA OpenShell lets IT teams scale AI use quickly while keeping tight control over proprietary data, system availability, and budgets.”
SLES Infrastructure Built Specifically for NVIDIA
SLES for NVIDIA lets enterprises accelerate AI workloads with immediate access to NVIDIA’s latest hardware innovations, including the NVIDIA Vera Rubin infrastructure, which forms the core of the NVIDIA OpenShell reference architecture.
As an established, trusted enterprise Linux platform, SLES for NVIDIA is designed to scale smoothly up to rack-scale architectures, connecting the rapid pace of silicon innovation with strict operational stability and security requirements.
Its main advantages include:
- Speeds up hardware adoption from day one: Lets AI workloads run immediately on NVIDIA’s most advanced silicon platforms, on a reliable SLES 16 foundation for enterprise environments, delivering maximum productivity without compromising security or regulatory compliance.
- Removes production deployment friction: Unifies development and production environments on a common enterprise infrastructure, ensuring full compatibility without having to migrate to another platform or rewrite code.
- Centralizes enterprise support: Provides technical support through a single vendor, backed by continuous automated validation of the operating system, Linux kernel, GPU drivers, and the Kubernetes runtime. This guarantees ongoing compatibility across all components and removes the usual support headaches.
Driving Public-Sector Innovation With Sovereign AI
According to Gartner®, “by 2027, 35% of countries will be shaped by region-specific AI platforms that use proprietary contextual data.” Building on its existing relationship with SUSE, the Finance Secretariat of the Mexican state of Guanajuato is using SUSE AI Factory with NVIDIA to validate sovereign AI capabilities as it works toward a cognitive government serving its citizens.
- Cognitive government proof of concept: The Secretariat is actively testing SUSE AI Factory with NVIDIA to validate smart, AI-based public services and streamline internal workflows.
- Accelerating workloads and hardware: The proof of concept evaluates deploying AI workloads on high-performance GPU infrastructure, easing the move from initial software testing to production in enterprise environments.
- A sovereign infrastructure foundation: By integrating SUSE AI Factory with NVIDIA into its broader strategy built on SLES and SUSE Multi-Linux Manager, Guanajuato keeps full data sovereignty, centralized management, and regulatory compliance across both hybrid cloud and on-premises environments.
“Using SUSE AI Factory with NVIDIA in our environment gives us a clear path to becoming a truly cognitive government,” said José Luis Huerta Santos, of the IT Planning and Architecture area at Guanajuato’s Finance Secretariat. “Having a sovereign, open-source foundation lets us quickly evaluate AI workloads while making sure citizens’ data, infrastructure availability, and operating costs stay under our strict control.”
ISV Certifications Expand the SUSE AI Factory With NVIDIA Ecosystem
To simplify software validation, remove integration roadblocks, and ensure reliable long-term support, SUSE is introducing a two-tier ISV certification structure. This framework gives customers confidence that SUSE AI Factory works smoothly alongside its partners’ technologies, backed by joint validation and firm vendor commitments that ensure clear support accountability and faster issue resolution.
- “Ready for” certification: Partner self-validation confirming software compatibility and the vendor’s commitment to provide support for both SUSE AI Factory and SUSE AI Factory with NVIDIA.
- “Certified for” certification: Jointly designed and validated configurations that include automated deployment and lifecycle management on SUSE AI Factory and SUSE AI Factory with NVIDIA.
“To drive real transformation through AI, enterprises need more than basic infrastructure — they need a broad, reliable ecosystem,” said Rhys Oxenham, General Manager of AI at SUSE. “By establishing a rigorous ISV certification program for SUSE AI Factory with NVIDIA and expanding our partner catalog with top-tier third-party software, we’re enriching our portfolio with previously validated capabilities. Together with our ISV partners, we offer a highly integrated, fully supported platform that lets customers move seamlessly from experimentation to sovereign, enterprise-grade production environments.”
New Partners Join the Ecosystem and Use Cases
- Klique (by ClearML): Acts as an enterprise AI control plane, providing gateway routing for large language models (LLMs), AI resource management, and governance across shared infrastructure.
- Tensormesh: Offers high-performance key-value (KV) cache management, designed to optimize AI inference for agentic AI applications, retrieval-augmented generation (RAG), and enterprise workloads that need long context windows.
- Traefik Labs: Traefik Hub adds runtime governance capabilities to SUSE AI Factory with NVIDIA through its AI Gateway and MCP Gateway. These route agent model and tool calls through a centralized control point that masks sensitive data, blocks unsafe requests, and manages token budgets.
- AlchemiStudio: Provides a full sovereign AI platform that lets customers control governance, real-time costs, budgets, the AI gateway, and regulatory compliance over infrastructure they control.
- Wiser Technology: Offers Preslav, a sovereign AI platform that supports real-time decision-making by bringing in live digital twins built from vehicle fleets and sensors.
- CloudCasa by Catalogic: Offers enterprise backup and disaster recovery for AI workloads running on Kubernetes within the SUSE AI Factory with NVIDIA ecosystem. It protects full inference stacks, including vLLM-based chatbots and Milvus vector stores.
Bringing Hybrid Quantum Intelligence Into Operational Environments With Fujitsu
SUSE and Fujitsu (FSAS) are collaborating to offer an AI-powered hybrid quantum computing platform that integrates SUSE AI Factory with NVIDIA and NVIDIA CUDA-Q software on Fujitsu servers. The solution is designed to move hybrid quantum intelligence from research labs into enterprise data centers. This marks the first time enterprise-grade hybrid quantum computing and NVIDIA AI Enterprise are being offered as a unified, production-ready technology stack running on sovereign infrastructure.
“As Fujitsu expands its technology portfolio with our new quantum computer and Digital Annealer, this collaboration provides the secure infrastructure foundation that enterprises need,” said Udo Wuertz, Chief Technology Officer of Fsas Technologies EMEA at FSAS. “Running this technology stack on Fujitsu servers lets customers get the most out of their current hardware investments and connect quantum simulation directly to production applications.”
Frequently Asked Questions
What is NVIDIA OpenShell?
It’s a reference architecture that NVIDIA Vera CPUs run to manage how autonomous AI agents operate, paired with NVIDIA Sentry on BlueField-4 DPUs to monitor systems and enforce security policies from the hardware.
How does SUSE AI Factory with NVIDIA secure AI agents?
Through zero-trust governance: monitoring proxies continuously inspect agent traffic, authorize access by policy, and block unauthorized network requests to prevent code or data extraction.
Who is using SUSE AI Factory with NVIDIA for sovereign AI?
The Finance Secretariat of the Mexican state of Guanajuato is running a proof of concept to validate AI-based public services while keeping full data sovereignty.
What does the SUSE-Fujitsu collaboration add?
A production-ready, AI-powered hybrid quantum computing stack that combines SUSE AI Factory with NVIDIA and NVIDIA CUDA-Q software on Fujitsu servers.
