Why SUSE AI Factory with NVIDIA
Built on a foundation of trust and efficiency, the SUSE AI Factory with NVIDIA turns AI potential into production reality.
Enterprise Simplicity
Manage NVIDIA AI Enterprise services through an intuitive UI driven or industrial-scale GitOps deployment model.
Sovereign Design
Keep your data, workflows, and intellectual property entirely private and compliant with European markets and highly regulated industries.
Unified Support
One partner; one call. Get full-stack accountability from a single vendor, including L1 and L2 support for NVIDIA AI Enterprise.
From AI experimentation to enterprise reality
Innovation shouldn't require a patchwork of incompatible tools. Replace unpredictability with a seamless, industrial-grade AI Factory.
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FOCUS |
The “Bespoke Experimental” Stack |
The "SUSE AI Factory with NVIDIA" stack |
|---|---|---|
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Velocity |
Months of manual setup. |
Production-ready in days. |
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Interface |
Fragmented tools & CLI-heavy. |
UI-driven "Assembly Line" |
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Workflow |
Environment mismatch issues. |
Sandbox-to-production parity. |
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Sovereignty |
Cloud risks & compliance gaps. |
100% Data & Model Sovereignty. |
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Trust |
Opaque software sources. |
Verifiable SBOM transparency. |
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Support |
Multi-vendor finger-pointing. |
Single point of accountability. |
FAQ
How does the "Sovereign Design" protect my data and ensure regulatory compliance?
With the arrival of mandates like the EU AI Act, data privacy and intellectual property control are top priorities for the C-suite. The solution is purpose-built for regulated industries, ensuring that proprietary data, models, and sensitive logic remain entirely within the customer’s private infrastructure. Furthermore, every component includes a Software Bill of Materials (SBOM) to provide the verifiable transparency required for strict audit and residency mandates.
Who do I call if something breaks in this multi-vendor stack?
A major concern for procurement and IT leaders is "vendor sprawl" and accountability. SUSE addresses this by providing Unified Enterprise Support, serving as a single point of contact. Under this partnership, SUSE manages L1 and L2 support for the entire stack—including the NVIDIA components—backed by a robust L3 escalation path directly to NVIDIA engineering.
How does this transform the economic model of our AI investments?
The SUSE AI Factory shifts AI from unpredictable experimentation to a model of predictable costs and tangible ROI. Predictable Scaling: Instead of being tethered to unpredictable pay-per-token models from public cloud providers, organizations leverage their own infrastructure for cost-effective, predictable scaling.
Faster Time-to-Value: Use-case-aligned blueprints (e.g., for RAG and AI Research Assistants) allow teams to move from concept to production in days rather than months.
Asset Transformation: It provides a frictionless upgrade path for existing investments (like SUSE Edge or Telco Cloud), turning them into "AI powerhouses" without the cost of replatforming.
Which blueprints is the SUSE AI Factory with NVIDIA providing initially?
The SUSE AI Factory with NVIDIA initially provides pre-validated, opinionated turnkey blueprints designed to accelerate the transition from concept to production in days rather than months.
The specific blueprints included at launch are:
- Retrieval-Augmented Generation (RAG): For building common AI use cases that connect large language models to private enterprise data.
- AIQ Research Assistant: A high-value, integrated blueprint designed to provide immediate value from AI investments.
- Additionally, the platform supports Secure Agentic Innovation through the integration of NVIDIA NeMoClaw, which allows developers to build and deploy secure, on-premises autonomous AI agents.
- Developers have the flexibility to use these pre-validated blueprints for a "fast start" or customize them to meet specific project needs.
Is the UI the only way to deploy, or are there options for more automated environments?
While the UI is ideal for simplicity, the platform also supports industrial-scale GitOps. Administrators can choose between the intuitive interface or rigorous GitOps workflows using declarative configurations to ensure version-controlled, consistent environments.
Can I deploy this at the Edge or in "Air-Gapped" environments?
Enterprises in sectors like manufacturing, defense, and energy require AI to run where data is generated. The SUSE AI Factory with NVIDIA is engineered to manage decentralized, air-gapped footprints through a single pane of glass. It provides a consistent management experience and "blueprints" for various environments, ranging from central data centers to tactical edge and smart factory floors