From air-gapped validation to enterprise scale: An Aible agent on TD SYNNEX x Nebius AI Cloud

Building AI agents inside regulated enterprises often begins with a familiar challenge: how to prototype using sensitive data without exposing it to external environments. Security, compliance, and governance requirements often slow the transition from experimentation to production. Even when AI agents are developed locally, moving them into scalable infrastructure can require significant redesign.

TD SYNNEX is now announcing dedicated Nebius AI Cloud capacity for partners, securing dedicated NVIDIA-accelerated infrastructure they can build on. TD SYNNEX has named Nebius as the first-to-market AI cloud in their AI-Infrastructure-as-a-Service (AI IaaS) global portfolio — selected because it delivers the performance of a supercomputer with the flexibility enterprises require. This blog shows an example of what that model enables in practice.

Together with mutual partner Aible — a software platform for building governed, long-running AI agents that automate complex analytical and operational workflows for enterprise teams — we are demonstrating a path from secure, air-gapped Agentic AI prototyping on NVIDIA DGX Spark systems to enterprise-scale deployment on Nebius AI Cloud.

A real-world example: prototype locally, deploy securely on NebiusA real-world example: prototype locally, deploy securely on Nebius

Nebius AI Cloud is built for enterprise-grade AI, with secure, isolated infrastructure and controls. The platform meets enterprise security standards including SOC 2 Type II, ISO 27001, and HIPAA-eligible infrastructure, enabling organizations to build and deploy governed AI agents entirely within Nebius.

In large enterprises, prototyping and scaling AI is as much an organizational hurdle as a technical one. Security, risk, compliance, and data teams all have a say before prototyping, let alone production deployment.

Air-gapped NVIDIA DGX Spark environments provide a controlled first step, as sensitive training data stays local. Once validated, only the agent artifact, not the underlying data, is published to Nebius for scaled inference.

In regulated environments such as healthcare, datasets containing PHI and PII can be analyzed entirely on a standalone DGX Spark system to maintain institutional compliance. In one real-world example at a major health system, a team evaluated approximately 1.5 million variable combinations in under five minutes — with models, tools, and agents running locally. After validation, only the resulting agent was transferred to Nebius AI Cloud without moving underlying research data. Collaborators then executed the same workflow on their own governed datasets within Nebius.

Engineered for sustained AI workloadsEngineered for sustained AI workloads

Nebius AI Cloud is purpose-built for AI and recognized within the NVIDIA ecosystem as an Exemplar Cloud provider — meeting NVIDIA’s performance and architectural benchmarks for modern AI workloads on NVIDIA HGX H200 systems.

This matters in practice: some larger models, such as NVIDIA Nemotron 3 Super, can be difficult to run in a DGX Spark but deliver stronger results for autonomous agents like Aible SafeClaw. Nebius AI Cloud, together with Token Factory, enables optimized, scalable inference for large foundation models — managing throughput, concurrency, and cost efficiency as agents generate sustained token volume.

Because Nebius is architecturally aligned with NVIDIA DGX-class environments, Aible installed and optimized its platform on Nebius in less than two hours, making the full Aible Agent Marketplace, including SafeClaw, available for enterprise-scale deployment.

What this enablesWhat this enables

Nebius AI Cloud infrastructure and Aible’s enterprise AI agent platform are both available through TD SYNNEX. As the first-to-market in TD SYNNEX’s AI IaaS portfolio, Nebius enables partners to deliver governed AI solutions from secure prototyping to production-scale deployment within a single channel ecosystem.

The Aible example shows how enterprise AI workflows can move from secure local validation to production deployment on Nebius AI Cloud without fundamental architecture redesign. With new dedicated GPU capacity available through TD SYNNEX, partners can now build and scale similar solutions across the ecosystem. To learn more:

• See the TD SYNNEX press release.
• Explore Aible’s press release from GTC 2026.
• Partners interested in building on Nebius should sign up for the TD SYNNEX x Nebius AI Cloud