The promise of Artificial Intelligence in the industrial world has always been monumental—a vision of factories that anticipate their own needs, assembly lines that perfect their own processes, and operations that achieve unparalleled levels of efficiency. For many, however, this has remained a distant vision, hindered by the immense challenge of bridging the gap between industrial data and AI-powered insights. Today, we are thrilled to announce a groundbreaking collaboration that shatters this barrier and brings the future of industrial autonomy to the present: Litmus Edge is now supercharged by the new NVIDIA DGX Spark, ready to transform your operations.
For too long, the journey to implementing Industrial AI has been fraught with complexity. The industrial landscape is a tapestry of legacy systems, proprietary protocols, and siloed data sources. This data, the very lifeblood of AI, is often trapped, fragmented, and difficult to harness. The result is a chasm between the desire for AI-driven optimization and the reality of complex, time-consuming, and expensive implementation cycles. Manufacturers have been forced to choose between slow, incremental progress or risky, large-scale overhauls. This is the problem we are solving. The question has always been: how can we accelerate time-to-value and make powerful AI accessible to every industrial enterprise?
The answer lies in a disciplined approach to industrial data, a practice we call Industrial DataOps. It is the foundational layer that collects, standardizes, and contextualizes data from any and all industrial assets, preparing it for immediate use in analytics and AI applications. This is where Litmus Edge has always excelled. Now, with the power of NVIDIA DGX Spark, we are taking a quantum leap forward. We are entering a new era of Industrial AI, one where the power of the cloud is brought directly to the manufacturing floor. The NVIDIA DGX Spark is a compact, powerful, and efficient platform designed for local AI inference. It's a game-changer for industrial environments, enabling the deployment of sophisticated AI models right at the edge—where the data is generated and where real-time decisions matter most.
For years, Litmus Edge has been at the forefront of running small language models (SLMs) across a multitude of manufacturing use cases, enabling predictive maintenance, quality control, and process optimization. But with the computational prowess of NVIDIA DGX Spark, we can now deploy much more capable Large Language Models (LLMs) locally. Imagine an AI that doesn't just predict a machine failure but can also instantly analyze its root cause and provide corrective actions in natural language to an operator on the floor. This is the power of running LLMs at the edge. This is the power of Litmus Edge on DGX Spark.
Getting started with Litmus Edge on NVIDIA DGX Spark is a straightforward, Docker-based process. Here’s a high-level overview of how you can bring the power of on-premise AI to your industrial environment:
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Prepare Your DGX Spark: Ensure your system is running the NVIDIA DGX OS (Ubuntu) and has Docker Engine pre-installed. You'll need outbound network access and port 8443 open for dashboard access.
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Deploy Litmus Edge: Pull the Litmus Edge Docker image and run it. In minutes, you can access the Litmus Edge dashboard through a web browser using your DGX Spark's IP address and begin connecting to your industrial assets.
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Extend with Local LLMs: To run powerful LLMs locally, we leverage the popular and lightweight framework, Ollama. Deployed in a separate Docker container on the same DGX Spark, Ollama allows you to easily pull and manage a variety of AI models like Llama, Mistral, or Gemma.
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Integrate and Analyze: This is where the magic happens. In Litmus Edge Analytics, you simply add a new connection to your Ollama instance. Once connected, your local LLMs become available for seamless AI model integration. You can then build powerful data flows, adding an AI processor node to create real-time inference workflows that leverage the full power of the DGX Spark.
Ready to see the impact? Here are three high-value projects you can start today:
Operator Co-pilot for Root Cause Analysis: Stream PLC fault codes into Litmus Edge. Use an LLM running locally on the DGX Spark to instantly translate cryptic error codes into plain-English troubleshooting steps and recommended actions, delivered directly to an operator's HMI or mobile device.
Real-time Visual Defect Detection: Connect a camera to the production line and stream the video feed into Litmus Edge. Deploy a pre-trained computer vision model to identify quality issues—such as scratches, misalignments, or packaging defects—as they happen, triggering real-time alerts or diverting products automatically.
Advanced Anomaly Detection: Go beyond simple threshold alerts. Use Litmus Edge to collect and fuse data from multiple sensors (vibration, temperature, pressure). Feed this rich, contextualized data into an anomaly detection model on the DGX Spark to predict equipment failures with higher accuracy and fewer false positives.
Q: What is the primary benefit of running Litmus Edge on NVIDIA DGX Spark?
A: The primary benefit is the ability to run powerful, real-time Industrial AI models, including Large Language Models (LLMs), directly on the manufacturing floor. This reduces latency, improves data security, and accelerates time-to-value for AI-driven use cases.
Litmus Edge collects and prepares real-time data from industrial assets.
Ollama (LLM runtime) executes local AI models on DGX Spark’s GPU for fast local inference.
Litmus Edge AI workflow orchestrates these models to deliver insights and decisions in milliseconds.
Q: Do I need to be a data scientist to use this solution?
A: No. Litmus Edge is designed to be user-friendly, and the integration with NVIDIA DGX Spark and Ollama simplifies the deployment of pre-trained AI models. Operations teams can easily deploy and manage models to gain immediate insights.
Q: How does this solution handle data from legacy industrial equipment?
A: Litmus Edge excels at connecting to a wide range of industrial assets, both modern and legacy. It can collect, normalize, and contextualize data from hundreds of protocols and systems, making it ready for analysis by the AI models running on the DGX Spark.
The era of slow, complex, and cost-prohibitive Industrial AI is over. With Litmus Edge powered by NVIDIA DGX Spark, the path to a smarter, more efficient, and more resilient manufacturing operation is clearer and faster than ever before. This is more than just a new product; it's a new paradigm for the industrial world. It's time to move beyond the hype and start realizing the true potential of Industrial AI. Ready to get started but don't have the hardware yet? We've got you covered.
Contact our customer success team to inquire about our DGX Spark loaner program and let us help you get going on your journey into Industrial AI.