Litmus Industrial Data Deployment | Edge, Site, Cloud | Litmus | The Modern Industrial Data Platform for AI

Deploy Industrial Data Where It Runs
Deploy Litmus across edge, site, and cloud using your existing infrastructure—without redesigning architecture.

Trusted by manufacturers scaling industrial data and AI

Deploy where your data runs
Litmus supports deployments at the edge, within the plant, or in the cloud so you can run data pipelines and AI workloads where they belong.

At the edge
Close to machines for real-time processing and AI
At the site level
Within the plant for aggregation and coordination
In the cloud or enterprise
For centralized visibility, governance, and scale

Choose your deployment model
Deploy on the infrastructure you already have—whether that’s edge hardware, virtual machines, containers, or cloud.

Edge gateway or industrial PC
Run directly on the plant floor, close to machines for real-time processing and local decision-making. The right choice when latency matters and connectivity is limited.

Best for:

High-frequency data collection

Low-latency analytics and AI

Air-gapped or restricted environment
GPU or AI-enabled hardware
Run AI workloads at the edge when latency, bandwidth, or data sensitivity make cloud execution impractical. Keep data close to production systems while enabling real-time AI-driven decisions.

Best for:

Computer vision and deep learning

Real-time inference and optimization

High-performance edge AI use cases
Virtual machine (VMware, Hyper-V)
Run on existing server infrastructure at the plant or enterprise level for centralized processing within a facility. Consolidates compute without requiring hardware at every machine.

Best for:

Aggregating data across multiple systems or lines

Sites with established virtualization standards

Reducing hardware footprint at the machine level
Container and Kubernetes
Run as containerized workloads for standardized, multi-site deployment. Ideal for DevOps-driven teams operating industrial applications at scale.

Best for:

Enterprise IT-led initiatives

DevOps-driven teams

Multi-site scalability and repeatability

What deployment looks like in your environment
See how Litmus is deployed across OT, DMZ, IT, and cloud layers—showing where each component runs, how data flows, and how deployments align with your existing infrastructure.

Where each Litmus product runs
Map each product to the infrastructure it runs on, so you can plan deployments without guesswork.

Deploy faster and scale without rework

Standardize deployments across sites and deliver trusted data for enterprise analytics and AI.

Faster deployment across industrial sites
Minimal disruption to existing infrastructure
Standardized data and application delivery
Trusted data for analytics and AI

Secure and govern deployments across environments
Protect production systems while enabling scalable data and AI operations across restricted and air-gapped networks.

Security
Role-based access control across users, sites, and systems

TLS and certificate-based communication throughout

Secure data movement between OT and IT environments

Full support for restricted and air-gapped networks
Governance
Standardized deployment templates across all sites

Version control for configurations, applications, and models

Data lineage and traceability from machine to enterprise

Policy-based control over data flow and access

Scale from one site to many, without rework

Every step builds on the last. The architecture you start with is the same one that scales to hundreds of sites because it was designed that way from the start.

1. Start at one site
Deploy Litmus Edge at a single location. Connect machines, start collecting data, and run analytics close to operations.
2. Expand your plant infrastructure
Move to VM or server-based deployment as data volume grows. Add Litmus Edge Manager to centralize control across the site.
3. Standardize across sites
Roll out consistent configurations across multiple plants using templates and version control. No per-site rework.
4. Govern at enterprise scale
Add Litmus Data Catalog and Litmus Unify to enable cross-site visibility, lineage, and trusted data for analytics and AI initiatives.