The control plane for enterprise AI operations
Deploy persistent AI agents across enterprise systems. GPU-accelerated inference on NVIDIA DGX Spark with the GB10 Grace Blackwell Superchip — governed, auditable, and cost-intelligent. Zero data egress.
128GB
unified memory
1 PFLOP
FP4 performance
0
data egress
The Problem
Enterprises are spending billions on AI. Most of it never ships.
0%
of AI projects never reach production
Fragmented tooling forces teams to stitch together models, APIs, and infrastructure with no unified control plane.
0mo
average deployment timeline
Without governance frameworks, organizations spend months navigating compliance, security, and audit requirements.
0x
budget overrun on AI initiatives
Unpredictable GPU costs, redundant model serving, and no cost intelligence leads to runaway spend.
0%
cite security as top blocker
Data residency, access controls, and audit trails are afterthoughts in most AI toolchains.
Enterprises don't need another model. They need infrastructure that enables AI to run safely across real business operations.
The Platform
Operational AI infrastructure for the enterprise
Not a chatbot wrapper. A complete runtime for deploying, governing, and scaling AI agents across your most critical business operations.
Agent Orchestration
Deploy and manage persistent AI agents that execute multi-step reasoning workflows across enterprise systems — ServiceNow, Datadog, Confluence, Snowflake, and more.
const agent = await opengate.deploy({
name: "incident-triage",
model: "llama-3.1-70b", // via NVIDIA NIM
runtime: "triton", // Triton Inference Server
systems: ["servicenow", "datadog", "confluence"],
governance: { rbac: "sre-team-prod", audit: true, costCap: "$150/day" }
});Governance Engine
RBAC, immutable audit logs, data residency enforcement, and compliance policies — HIPAA, SOC 2, FedRAMP. Built into the control plane, not bolted on.
Cost Intelligence
Real-time per-query cost tracking, budget alerts, and intelligent model routing. Know exactly what AI costs at $0.004/query granularity.
Workflow Automation
Convert manual processes into persistent AI workloads. RAG pipelines with NV-EmbedQA embeddings, multi-agent reasoning chains, and automated remediation — running 24/7.
NVIDIA DGX Spark Infrastructure
Purpose-built for the GB10 Grace Blackwell Superchip. 128GB unified memory. Run Triton Inference Server and NIM microservices on-premise with TensorRT-LLM optimization.
Architecture
Full-stack AI infrastructure, one control plane
From enterprise connectors to GPU silicon — every layer orchestrated, governed, and observable through a single pane of glass.
Enterprise Systems
OpenGate Integration Layer
OpenGate Control PlaneCore
AI Workflow Runtime
Model Serving — NVIDIA NIM
GPU Infrastructure
OpenGate converts enterprise workflows into persistent AI workloads running on GPU-accelerated infrastructure. Zero data egress. Full audit trail.
How It Works
From enterprise systems to AI-powered operations in five steps
Connect
Enterprise SystemsPlug into ServiceNow, Datadog, Confluence, Snowflake, and more via pre-built bidirectional connectors. No data migration. No API rewrites.
Deploy
AI Agents via NIMDefine agent behaviors, assign RBAC governance policies, and deploy to DGX Spark via NVIDIA NIM microservices. One command. Production-ready.
Loading NIM container on DGX Spark...
✓ Agent live. P50: 847ms. 42 req/s
Orchestrate
Multi-Agent WorkflowsAgents execute multi-step reasoning: ingest via RAG pipeline, query vector stores with NV-EmbedQA, run TensorRT-LLM inference, and take action — autonomously.
Govern
Every DecisionFull immutable audit trail, RBAC with team-level scoping, data residency enforcement, and per-query cost tracking. HIPAA, SOC 2, FedRAMP ready.
Scale
GPU InfrastructureWorkloads scale across DGX Spark (128GB, 1 PFLOP FP4), DGX Station, and cloud GPUs. Elastic inference with ConnectX-7 200Gbps networking and intelligent model routing.
The result: enterprise workflows become persistent AI workloads running continuously on GPU infrastructure.
Use Cases
AI agents that work where you work
Intelligent Incident Response
AI agents monitor Datadog/Splunk alerts, correlate signals across systems, perform root cause analysis via RAG over runbooks, and execute automated remediation through ServiceNow — reducing MTTR from hours to minutes.
Autonomous Service Desk
Automated ticket classification, knowledge retrieval from Confluence/SharePoint via NV-EmbedQA embeddings, and resolution recommendations. AI agents handle L1/L2 tickets end-to-end with full audit trails.
Continuous Compliance Monitoring
AI agents scan policy documents, flag violations in real-time, analyze regulatory changes against internal procedures, and generate audit-ready reports — continuously, not quarterly.
Intelligent Knowledge Systems
RAG pipelines built on NVIDIA NIM with Triton Inference Server. Ingest Confluence, SharePoint, and internal docs. Surface accurate answers with source citations, confidence scores, and retrieval provenance.
Integrations & Infrastructure
The Flywheel
Every deployment accelerates the next
OpenGate creates a compounding cycle: each enterprise deployment generates persistent AI workloads that drive GPU utilization, which enables expanded adoption across the organization.
More deployments generate more AI workloads
More workloads justify deeper GPU investment
More infrastructure enables broader AI adoption
Broader adoption creates more enterprise deployments
Why OpenGate
Built for enterprises that can't afford to experiment
Purpose-Built for Operations
Not a generic AI wrapper. Built from the ground up for operational workflows — incident management, compliance, service delivery. The $8.5B AI agent orchestration market demands specialized infrastructure.
On-Premise First
Your data never leaves your network. Run models on DGX Spark's 128GB unified memory with zero egress — critical for healthcare, finance, and government. Full data sovereignty.
Governance by Design
RBAC, immutable audit trails, cost caps, and compliance policies (HIPAA, SOC 2, FedRAMP, EU AI Act) are built into the control plane — not bolted on after deployment.
NVIDIA-Optimized Stack
NIM microservices, Triton Inference Server, TensorRT-LLM, CUDA 13+, and LoRA adapters — purpose-tuned for the GB10 Grace Blackwell Superchip out of the box.
Cost Intelligence
Real-time per-query cost tracking ($0.004/query), budget alerts with daily caps, and intelligent model routing that optimizes for both P50 latency and spend.
Enterprise Integration
Pre-built bidirectional connectors for ServiceNow, Datadog, Confluence, Snowflake, Splunk, and 20+ enterprise systems. Works where you already work.
The Vision
AI isn't a product you buy.
It's infrastructure you operate.
The enterprises that win won't be the ones with the best models. They'll be the ones who operationalize AI fastest — with governance, cost control, and infrastructure that scales.
Deploy
persistent agents
Automate
operational workflows
Govern
every AI decision
Scale
GPU infrastructure
OpenGate transforms enterprise workflows into AI-driven operations — the operating system for enterprise AI.
Ready to operationalize AI across your enterprise?
Talk to our infrastructure team about deploying OpenGate on your NVIDIA DGX hardware. No generic demos — we'll scope a deployment around your actual operational workflows.