NVIDIA INTEGRATION · BUILT FOR EVERYTHING ELSE

NVIDIA integration that reaches the systems other tools can't.

Connect NVIDIA AI Enterprise to every OT, IoT, app + operational system your models serve. Feed Triton and NIM inference with live operational data, and push their outputs into the systems that act.

Get my NVIDIA integration plan → Talk to us

★★★★★5/5 · 140+ reviews Australian-built 99.9% platform uptime

Live demo · Claude querying NVIDIA + ops via Rayven MCP

What's the status of the OT, IoT + operational systems → Triton + NIM inference flow today?

All flowing. Feed inference live data is live. No blockers flagged.

OT, IoT + operational systemsTriton + NIM inference

Trusted by 240+ teams across Australia + globally

THE REALITY

NVIDIA is brilliant at what it does. Useless at everything else your data + AI needs to touch.

Triton and NIM endpoints serve fast, but the operational data feeding them arrives on a batch pipeline, and inference outputs never reach the systems that would act on them.

The integration tool you've already tried probably can't fix it.

What Zapier + iPaaS reach

App-to-app. Useful, until it isn't.

Connectors for NVIDIA, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:

Real-time OT, IoT and SCADA data that should feed Triton and NIM inference
ERP, work-order and field apps that inference outputs should drive
Operational databases and historians holding live model inputs
Streaming event sources that should trigger inference endpoints in real-time

What Rayven reaches

OT, IoT, ERP, apps + operations. One platform.

The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top.

NVIDIA + every ERP, database and enterprise data system
OT/IoT, ERP, apps, databases, streaming + custom-built connectors.
Files, legacy SQL, FTP + custom-built connectors
Real-time bidirectional sync, tier-aware + rate-limit-safe
AI Data Fabric, MCP, automation + custom apps included

WHAT YOU CAN BUILD

NVIDIA + Rayven: AI, automation + tools that reach every system you run.

5 examples of what Rayven customers run on NVIDIA + integrated systems. Built in weeks, not months.

OT, IoT + operational systems → Triton + NIM inference

Feed inference live data

Real-time OT, IoT, SCADA and app data streams into Triton and NIM inference endpoints via gRPC and REST, so models serve on current operations rather than batch inputs.

Top 5 accounts trending toward churn?

5 flagged. Usage drop + support backlog + late renewal. Owners notified.

NVIDIAOTTriton + NIM inference

NVIDIA AI Enterprise → ERP + work orders

Inference outputs become actions

Inference outputs post to ERP, work orders and field apps in real-time, turning a served prediction into an operational task.

Which won deals are stuck pre-invoice?

3 stuck. 2 drafts in accounting, 1 awaiting PO. Auto-finalise?

NVIDIAERP + work ordersXero

Operational events → Inference endpoints

Event-triggered inference

Sensor thresholds and state changes call Triton and NIM endpoints in real-time with the live inputs each model needs already attached.

Status check - is everything in sync?

All current. Last sync 38 seconds ago, no backlog.

NVIDIAOperational eventsInference endpoints

Enterprise documents → NeMo + NIM RAG

Ground GenAI in live data

Operational records and documents stream into a retrieval pipeline so NeMo and NIM generative models ground on current reality.

Booked revenue vs NVIDIA closed-won this month?

$2.41M booked, $2.39M closed-won. Two deals awaiting invoice - flagged.

NVIDIAEnterprise documentsNeMo + NIM RAG

NVIDIA AI Enterprise → Dashboards + field apps

Surface outputs to teams

Inference outputs surface in operational dashboards and field apps where operations and engineering teams act on them.

Which won deals are stuck pre-invoice?

3 stuck. 2 drafts in accounting, 1 awaiting PO. Auto-finalise?

NVIDIADashboardsXero

BEYOND INTEGRATION

Integration is the start with Rayven.
Here's what comes with it.

Rayven isn't just a NVIDIA connector. It's the operational software platform underneath - so once NVIDIA is connected, four more capabilities come online by default.

AI-ready data layer (AI Data Fabric)

NVIDIA data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and tools can use it without ETL prep work.
Learn more →

Live AI access (Rayven MCP)

Claude, ChatGPT + Gemini get live, governed access to NVIDIA and every other connected system. Your AI stops guessing - cites real NVIDIA records + numbers.
Learn more →

Automation + AI agents

Workflows + AI agents act on NVIDIA data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
Learn more →

Custom apps + portals

Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated NVIDIA data. No separate BI tool, no separate dev stack.
Learn more →

All on top of your existing stack. No rip + replace. NVIDIA stays NVIDIA. Rayven works on what you've already built. Specifically tuned for Triton and NIM inference feeds over gRPC, edge delivery and output writeback.

The Rayven

AI Data Fabric

MULTIMODAL DATA IN

THE RAYVEN PLATFORM

AI CAPABILITIES OUT

SCADA + OT

Databases

Streaming Feeds

IoT + Sensors

Documents + PDFs

Video + Images

Audio + Voice

Manual + Forms

APIs + Webhooks

AI Agents

Predictive AI + ML

Conversational AI

Real-time Training

AI-led Execution

Multimodal AI

Anomaly Detection

Forecasting

Vision + Edge

Gen AI Summaries

NVIDIA INTEGRATION · WHICH PATH

Pick the right tool for your stack.

NVIDIA integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.

Capability

Rayven

Zapier · Workato

MuleSoft · Boomi

Build it yourself

NVIDIA to other cloud apps

Yes

Best in class

Yes

DIY effort

NVIDIA to legacy DB / files / FTP

Yes

Partial

Yes

DIY effort

Real-time, tier-aware + rate-limit-safe

Yes

Throttled / paid

Yes

Hard to get right

NVIDIA Triton inference feed + operational actioning

Built in

No gRPC inference

Custom build

Hard to get right

AI-ready data layer + MCP for AI

Built in

Custom apps + portals on connected data

Built in

Not included

Separate product

Build it

Australian-built · sovereign deploy

Available

US-hosted

Configurable

You decide

Cost vs enterprise iPaaS

Significantly lower

Cheap at low volume

Premium pricing

Internal cost

Time to live

2-12 weeks

Days · per Zap

3-9 months

6-18 months

WHY RAYVEN · NOT JUST ANY CONNECTOR

The integration is the easy bit.
The platform + team behind it is the difference.

99.9% platform uptime

Platform + team. One commercial.

Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.

TRITON INFERENCE FEED

Built for NVIDIA's Triton and NIM serving model.

Rayven feeds Triton and NIM inference endpoints with live operational data over REST and gRPC, reaching OT sources via OPC-UA and MQTT, including at the edge. Inference outputs write back to ERP, work orders and apps in real-time, so a served prediction becomes an operational action.

5/5 · 140+ REVIEWS

We stay after go-live.

No handoff. No disappearing. Rayven is a long-term partner when your NVIDIA evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.

DEPLOY HOW YOU WANT

Hosted your way, where you need.

Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your NVIDIA data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions NVIDIA admins, RevOps + IT ask first.

If you're evaluating Rayven for NVIDIA integration, these are the things worth knowing before booking a call.

The 30-minute call covers

Your NVIDIA + connected stack today
What's reachable + which systems to bring in first
Live walkthrough of Rayven against your scenario
Time, scope + delivery estimate
Honest read on whether Rayven's the right fit

What is NVIDIA AI Enterprise integration?

NVIDIA AI Enterprise integration connects Triton and NIM inference to your operational stack - OT, IoT, ERP, apps and databases - so models serve on live data and outputs reach the systems that act. Rayven delivers it as part of an AI data fabric, not a single-purpose connector.

How does Rayven connect NVIDIA AI Enterprise to other systems?

Rayven calls Triton and NIM inference endpoints over REST and gRPC, streaming live operational data in and writing outputs back to targets. Rayven reaches OT sources via OPC-UA and MQTT. See the Rayven Platform for how the layers fit.

How is this different from NVIDIA Omniverse?

NVIDIA AI Enterprise runs production AI inference; NVIDIA Omniverse powers digital twins and simulation. Rayven feeds both real-time operational data and operationalises their outputs, from the same fabric.

Does Rayven replace NVIDIA AI Enterprise?

No. Rayven is not an AI platform and does not replace NVIDIA AI Enterprise - it is the real-time AI data fabric that feeds Triton and NIM inference live data and operationalises their outputs. Your models and serving stay on NVIDIA.

What are common NVIDIA AI Enterprise integration use cases?

Live inference inputs, event-triggered inference, grounding NeMo and NIM models and pushing outputs into ERP and work orders. See the automations above for specifics.

What are the technical specifics of NVIDIA AI Enterprise integration with Rayven?

Rayven integrates NVIDIA AI Enterprise through Triton Inference Server and NIM microservice endpoints over REST and gRPC with token authentication, respecting per-model deployment and GPU concurrency limits. Triton, NIM and NeMo are handled as first-class flows. Live operational data - OT, IoT, SCADA and historian signals, ERP and app events - streams into inference endpoints via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so models serve on current operations rather than batch inputs, including at the edge. Inference outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. This is the AI inference integration; simulation and digital twin workloads on Omniverse are covered separately. Validated against Triton and NIM inference endpoints, Rayven stays the AI data fabric around NVIDIA AI Enterprise - it never becomes or replaces your model platform.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

NVIDIA integration that reaches the systems other tools can't.

NVIDIA is brilliant at what it does. Useless at everything else your data + AI needs to touch.

App-to-app. Useful, until it isn't.

OT, IoT, ERP, apps + operations. One platform.

NVIDIA + Rayven: AI, automation + tools that reach every system you run.

Feed inference live data

Inference outputs become actions

Event-triggered inference

Ground GenAI in live data

Surface outputs to teams

Integration is the start with Rayven.
Here's what comes with it.

AI-ready data layer (AI Data Fabric)

Live AI access (Rayven MCP)

Automation + AI agents

Custom apps + portals

Rayven is a five-layer platform ALL your integrations + much more
can run on.

Pick the right tool for your stack.

The integration is the easy bit.
The platform + team behind it is the difference.

Platform + team. One commercial.

Built for NVIDIA's Triton and NIM serving model.

We stay after go-live.

Hosted your way, where you need.

The questions NVIDIA admins, RevOps + IT ask first.

The 30-minute call covers

What is NVIDIA AI Enterprise integration?

How does Rayven connect NVIDIA AI Enterprise to other systems?

How is this different from NVIDIA Omniverse?

Does Rayven replace NVIDIA AI Enterprise?

What are common NVIDIA AI Enterprise integration use cases?

What are the technical specifics of NVIDIA AI Enterprise integration with Rayven?

NVIDIA + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

NVIDIA integration that reaches the systems other tools can't.

NVIDIA is brilliant at what it does. Useless at everything else your data + AI needs to touch.

App-to-app. Useful, until it isn't.

OT, IoT, ERP, apps + operations. One platform.

NVIDIA + Rayven: AI, automation + tools that reach every system you run.

Feed inference live data

Inference outputs become actions

Event-triggered inference

Ground GenAI in live data

Surface outputs to teams

Integration is the start with Rayven.Here's what comes with it.

AI-ready data layer (AI Data Fabric)

Live AI access (Rayven MCP)

Automation + AI agents

Custom apps + portals

Rayven is a five-layer platform ALL your integrations + much morecan run on.

Pick the right tool for your stack.

The integration is the easy bit.The platform + team behind it is the difference.

Platform + team. One commercial.

Built for NVIDIA's Triton and NIM serving model.

We stay after go-live.

Hosted your way, where you need.

The questions NVIDIA admins, RevOps + IT ask first.

The 30-minute call covers

What is NVIDIA AI Enterprise integration?

How does Rayven connect NVIDIA AI Enterprise to other systems?

How is this different from NVIDIA Omniverse?

Does Rayven replace NVIDIA AI Enterprise?

What are common NVIDIA AI Enterprise integration use cases?

What are the technical specifics of NVIDIA AI Enterprise integration with Rayven?

NVIDIA + AI integration.In weeks, not months.

Integration is the start with Rayven.
Here's what comes with it.

Rayven is a five-layer platform ALL your integrations + much more
can run on.

The integration is the easy bit.
The platform + team behind it is the difference.

NVIDIA + AI integration.
In weeks, not months.