SUSE AI Factory with NVIDIA is now generally available
Turning AI potential into operational resilience
Key takeaways
- Operational shift: The AI hype cycle is officially moving into true enterprise industrialization and mission-critical deployment.
- Turnkey platform: SUSE AI Factory with NVIDIA delivers a secure framework to easily launch scalable workflows.
- Economic stability: Organizations benefit from predictable CapEx models and unified, end-to-end infrastructure support.
The era of AI experimentation is over; it’s time to operationalize. While local development is straightforward, deploying mission-critical AI at scale introduces significant hurdles: unpredictable budgets, data privacy risks, and potential vendor lock-in.
To bridge this gap, we are pleased to launch SUSE AI Factory with NVIDIA, originally announced at SUSECON in April.
This turnkey Private Enterprise AI solution natively embeds NVIDIA AI Enterprise directly into SUSE’s sovereign, hardened infrastructure. Managing the world’s most advanced hardware accelerators, it maximizes choice, delivers predictable AI economics and ensures strict data governance. Driving operational resilience across any deployment footprint, it provides unified lifecycle management, zero trust governance and deep AI-aware observability.
The blueprint for sovereign enterprise AI
SUSE AI Factory with NVIDIA removes the manual burden of DIY stack integration. By embedding NVIDIA AI Enterprise, a production-ready, commercial software suite that includes NVIDIA Nemotron open models, NVIDIA NeMo framework, and NVIDIA NIM microservices, into a secure framework, we provide a stable, compliant foundation for launching secure workflows and retrieval-augmented generation (RAG) applications.
Whether you are deploying in a core data center, a hybrid cloud or a 100% air-gapped environment, you get a unified platform that delivers:
- Sovereign performance. Native NVIDIA AI Enterprise integration meets SUSE-hardened security to ensure absolute control over data and corporate perimeters.
- Environmental parity. Developers can perfectly replicate production stacks on local workstations, eliminating risky configuration drift.
- Unified support accountability. No vendor sprawl. SUSE acts as your single point of contact, directly managing L1 and L2 support for the entire environment, including the underlying Linux, Kubernetes, GPU operators and all embedded NVIDIA software components.
Driving operational resilience and freedom of choice
Implementing SUSE AI Factory with NVIDIA provides immediate operational efficiency, security and infrastructure optimization for modern enterprise platforms:
- Accelerated time-to-value. Move from experimentation to production quickly using pre-validated, industry-aligned architectures and software blueprints deployed via infrastructure as code (IaC).
- Open innovation. Private enterprise AI should not feel like a compromise. Our open infrastructure platform integrates seamlessly with your existing Linux and Kubernetes environments. This allows for easy onboarding and rapid time-to-value without forcing expensive or disruptive re-platforming, while providing access to the absolute foundation of open source innovation.
- Predictable AI economics. Relying on public, third-party AI systems exposes your organization to service disruption risks, ranging from sudden price hikes to rate limits, or unexpected regional access restrictions due to shifting export controls. AI pay-per-token frameworks carry highly volatile, unpredictable operational expenses. Get a stable, predictable capital expenditure (CapEx) model, establishing a steady run rate.
- Architectural flexibility. Preserve operational resilience with the long-term freedom to modify, migrate, or pivot hardware accelerators, open source models and hosting environments with complete technical independence.
- True silicon-to-solution management. Replace fragmented manual tasks with an integrated lifecycle framework. Operators can seamlessly discover, update and manage every layer of the stack—from microcode and GPU operators to the secure OS and Kubernetes clusters—via a unified command center.
Key features inside the factory
SUSE AI Factory with NVIDIA builds on a rock-solid foundation of enterprise Linux and cloud-native standards to deliver premium, full-stack lifecycle management from silicon to solution. It augments all the proven features of SUSE Rancher with:
- Pre-validated blueprints and catalogs. Provides instant access to an audited repository of containerized tools and frameworks, use case-aligned templates and core NVIDIA AI Enterprise blueprints—including turnkey Retrieval-Augmented Generation (RAG) architectures and the AI-Q Research Assistant for rapid internal rollouts.
- NVIDIA AI Enterprise suite. Access containerized inference engines (NVIDIA NIM) running entirely on-premises, backed by automated Kubernetes GPU operators that handle the end-to-end lifecycle of underlying drivers and microcode. Build customized AI pipelines with NeMo developer tools and Nemotron open models.
- Declarative GitOps pipelines. Drive your infrastructure as code. Automate version-controlled, repeatable environment deployments across thousands of clusters via a centralized dashboard.
- Sovereign security and AI-aware observability. Mitigate the risk of unauthorized AI tools and data leaks. The platform pairs an immutable OS foundation with deep underlying hardware introspection (monitoring GPU health, accelerator utilization and driver metrics) to keep your intellectual property safely inside the corporate perimeter.
Comprehensive full-stack validation
We do not expect you to take our word for it. To ensure customers never encounter unexpected integration friction, the entire stack — from kernels and GPU drivers to orchestration layers and blueprints — is comprehensively tested end-to-end. We maintain total transparency by exposing all of this live integration validation data directly to the public on our AI integration dashboard.
Get started today!
Learn more about SUSE AI Factory by visiting https://www.suse.com/products/ai/factory-with-nvidia/, read the press release, or contact us today.
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