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FMI 3.0 Co-Simulation with FMPy: A Hands-On Tutorial

FMI 3.0 Co-Simulation with FMPy: A Hands-On Tutorial

Posted by By MPRAUTO MPRAUTO June 17, 2026Posted inDigital TwinNo Comments
A hands-on 2026 tutorial for FMI 3.0 co-simulation with FMPy in Python: importing FMUs, stepping the solver, coupling models, and debugging the loop.
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Battery Gigafactory Digital Twin Reference Architecture

Battery Gigafactory Digital Twin Reference Architecture

Posted by By MPRAUTO MPRAUTO June 12, 2026Posted inDigital TwinNo Comments
A vendor-neutral 2026 reference architecture for a battery gigafactory digital twin: electrode, cell, and pack telemetry, yield modeling, and the closed control loop.
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Does a Digital Twin Need Real-Time Data? A Fact-Check

Does a Digital Twin Need Real-Time Data? A Fact-Check

Posted by By MPRAUTO MPRAUTO June 9, 2026Posted inDigital TwinNo Comments
Fact-checking the biggest digital twin myth: does a twin require a live connection? We separate marketing claims from the actual architecture.
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Fact-Check: 6 Digital Twin Claims That Break in Production

Fact-Check: 6 Digital Twin Claims That Break in Production

Posted by By MPRAUTO MPRAUTO May 25, 2026Posted inDigital TwinNo Comments
Six common digital twin claims, fact-checked against production reality — real-time sync, ROI, simulation, and what actually holds up in the field.
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Digital Twin vs Simulation: Architecture Decision Guide (2026)

Digital Twin vs Simulation: Architecture Decision Guide (2026)

Posted by By mprcba May 16, 2026Posted inDigital TwinNo Comments
Digital twin vs simulation — the architectural differences that actually matter, state synchronization, data feedback loops, and a decision matrix for picking the right approach in 2026.
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Physical AI and World Models: The Architecture Behind NVIDIA Cosmos and Generative Robotics

Physical AI and World Models: The Architecture Behind NVIDIA Cosmos and Generative Robotics

Posted by By MPRAUTO MPRAUTO April 19, 2026Posted inAINo Comments
How physical AI works — world models, simulation-to-real, NVIDIA Cosmos architecture, robot foundation models, and the generative data pipeline.
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  • vLLM vs SGLang vs TensorRT-LLM in 2026: The Serving Engine Pick
  • OpenAI o3 and o4-mini Explained: The Reasoning-Model Lineage (2026)
  • pgvector vs Qdrant vs LanceDB: On-Prem RAG Vector Search (2026)
  • OTLP vs Prometheus Remote Write: The 2026 Metrics Pipeline Decision
  • TensorRT-LLM vs llama.cpp on Jetson: Throughput, VRAM & Setup (2026)
  • INT4 vs INT8 vs FP8 on Edge NPUs: The 2026 Quantization Trade-off
  • Sparkplug B vs Plain MQTT Topics: Do You Actually Need Sparkplug? (2026)
  • PROFINET vs EtherCAT vs OPC UA FX+TSN: The 2026 Deterministic Ethernet Decision
  • K3s at the Edge: A Production Kubernetes Guide for 2026
  • ArgoCD vs Flux for GitOps at Scale: An Architecture Decision Record
  • Agentic RAG Architecture Patterns: When Plain RAG Is Not Enough
  • OPC UA vs MQTT Sparkplug B: The Industrial Connectivity Decision (2026)
  • Unified Namespace (UNS) Reference Architecture for Industrial IoT in 2026
  • Ollama vs LM Studio vs Jan (2026): Local LLM Runner Compared
  • containerd vs CRI-O (2026): Kubernetes Runtime Decision Guide
  • Podman vs Docker (2026): Rootless, Daemonless & Compose Tested
  • Karpenter vs Cluster Autoscaler (2026): GPU Node Scaling & Cost
  • ONNX vs TFLite vs ExecuTorch vs Core ML (2026): Edge Format Pick
  • Hailo-10H vs Jetson Orin Nano (2026): Same CV Workload Tested
  • ROS 2 Kilted to Lyrical Luth Migration (2026): What Breaks & Fixes
  • LangGraph vs CrewAI vs Pydantic-AI vs Agents SDK (2026): Which to Pick
  • MACE vs MatterSim vs Orb (2026): ML Interatomic Potentials
  • MCP Server Frameworks (2026): FastMCP vs Official SDK
  • NATS JetStream vs Kafka (2026): Edge & IIoT Telemetry ADR
  • On-Device LLM Runtimes (2026): llama.cpp vs MLC vs ONNX
  • Jetson Thor vs Hailo-10H vs Coral (2026): Edge Inference Pick
  • Digital Product Passport Data Model (2026): GS1 vs AAS vs Custom
  • OPC UA FX vs MQTT Sparkplug B (2026): Which for Your UNS
  • AI Plasma Control for Tokamak Fusion: Reinforcement Learning (2026)
  • Diffusion Policy for Robot Manipulation: Imitation Learning (2026)
  • Request to Pay and Account-to-Account Payments: An Architecture (2026)
  • Kubernetes Secrets Management with External Secrets Operator (2026)
  • LLM Function Calling and Tool Use: A Production Architecture (2026)
  • Grok 4.5 Explained: Architecture, Benchmarks and Deployment (2026)
  • Brain-Computer Interface Neural Decoding Architecture (2026)
  • 6-DoF Grasp Detection: Robotic Manipulation Architecture (2026)
  • Network Tokenization Architecture for Card Payments (2026)
  • Durable Execution Architecture: Temporal, Restate and DBOS (2026)
  • ColPali and Visual Document Retrieval: Late-Interaction RAG (2026)

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