Handling the Pushback

Great — keep them for general productivity. Generate is for the data those tools cannot touch: PHI, claims, contracts, source code your policy will not let you upload. It runs inside the perimeter, on your NetApp. It is additive, not a replacement.

You can — most teams spend 6–12 months wiring vLLM, a vector DB, Kafka, Kubernetes, RAG, and governance, then own the maintenance forever. Generate is that exact stack, installed in under 20 minutes with one script, already integrated with NetApp’s data services. Build the agents, not the plumbing.

Keep your vertical app — Generate does not compete with it. What your application cannot do is safely reach the data locked inside the customer’s NetApp. Generate is the private data-and-intelligence layer on that data: it vectorizes and governs everything in ONTAP, runs the AI inside the perimeter with zero egress, and collaborates with your application over API, MCP, and standard connectors — serving it retrieved, governed data on demand. Your agent keeps the vertical reasoning; Generate becomes the secure, on-prem data backend it calls.

RAG is one feature. Generate is an agent platform: 200 pre-built agents, a visual no-code workflow canvas, a SuperAgent orchestration layer, 56 connectors, and native ONTAP data protection for the whole AI environment. It produces live dashboards and downloadable artifacts, not just chat answers.

That is exactly why this exists. Nothing leaves the perimeter — zero egress. Every action is logged to an immutable, SnapLock-backed audit trail. Model, data, and hardware are all under the customer’s control. This is the AI story security teams approve, because it removes the thing they fear.

The AIPod Mini ships as a turnkey appliance — Dell servers, NVIDIA or Intel accelerators, NetApp storage, and the Generate software bundle, deployed by the partner. One installer handles drivers, CUDA, K3s, vLLM — everything. Your customer builds agents in a browser.

Start small — a single-server proof of value in one department, tied to one painful workflow with measurable ROI. The outcome funds the expansion. And the token-cost clock is running: every quarter on metered cloud AI is money that could be buying down fixed on-prem capacity.

For data you can send to the cloud, sometimes you should. For data you cannot — regulated, sovereign, IP-sensitive — cloud is not an option, and metered cost punishes scale. Most enterprises run both; we own the private half, on the infrastructure you already sell them.

Turnkey: a working private-AI stack on ONTAP in under 20 minutes via a three-step installer. Breadth: 200 pre-built agents, 56 connectors, a visual workflow canvas, and SuperAgent orchestration. Integration: a Backup & Restore module powered by NetApp, snapshot ingestion, SnapLock audit, FlexClone testing. Output: live, downloadable dashboards and artifacts a leader can take straight into a board meeting.