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Posts by MPRAUTO MPRAUTO

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About MPRAUTO MPRAUTO
Isaac Sim vs Gazebo vs MuJoCo: Choosing a Robot Simulator in 2026

Isaac Sim vs Gazebo vs MuJoCo: Choosing a Robot Simulator in 2026

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted inTechNo Comments
Isaac Sim vs Gazebo vs MuJoCo compared for robotics: physics fidelity, GPU parallelism, photorealistic sensors, ROS 2 integration, sim-to-real, and a decision matrix for 2026.
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Module Type Package (MTP) Reference Architecture for Modular Process Automation (2026)

Module Type Package (MTP) Reference Architecture for Modular Process Automation (2026)

Posted by By MPRAUTO MPRAUTO July 2, 2026Posted iniiotNo Comments
A reference architecture for Module Type Package (MTP): the VDI/VDE/NAMUR 2658 model, MTP services, POL orchestration, and how modular automation decouples equipment from the DCS.
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Qwen3.6 Explained: Hybrid MoE Architecture, 1M Context, and Benchmarks

Qwen3.6 Explained: Hybrid MoE Architecture, 1M Context, and Benchmarks

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inAINo Comments
Qwen3.6 explained: Alibaba's hybrid Gated DeltaNet MoE flagship, the open-weight 27B and 35B-A3B variants, 1M-token context, benchmarks, license, pricing, and how to deploy it.
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Kubernetes Multi-Tenancy Architecture: Namespaces, vCluster, and Hard Isolation

Kubernetes Multi-Tenancy Architecture: Namespaces, vCluster, and Hard Isolation

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inKubernetesNo Comments
A 2026 Kubernetes multi-tenancy decision record: soft vs hard isolation, namespaces, hierarchical namespaces, vCluster, Capsule, and Kata - choosing the right tenancy model for your platform.
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Qualcomm Buys Modular: The CUDA Moat and the Portable AI Compiler Play

Qualcomm Buys Modular: The CUDA Moat and the Portable AI Compiler Play

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inTechNo Comments
Analysis of Qualcomm's acquisition of Modular: why the CUDA moat is a compiler problem, how MLIR and portable kernels threaten Nvidia lock-in, and what it means for AI hardware.
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How Superconductors Actually Work (and Why They Levitate)

How Superconductors Actually Work (and Why They Levitate)

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inScienceNo Comments
How superconductors actually work: Cooper pairs, the BCS mechanism, the Meissner effect and flux pinning behind quantum levitation, and why room-temperature superconductivity is so hard.
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Quantum Error Correction Explained: Surface Codes and the Path to Fault Tolerance

Quantum Error Correction Explained: Surface Codes and the Path to Fault Tolerance

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inScienceNo Comments
Quantum error correction explained: why qubits decohere, how surface codes detect errors with stabilizers, the threshold theorem, logical qubits, and the road to fault-tolerant quantum computing.
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AML with Graph Neural Networks: Detecting Laundering Rings and Synthetic Identity

AML with Graph Neural Networks: Detecting Laundering Rings and Synthetic Identity

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inTechNo Comments
How AML graph neural networks detect money-laundering rings and synthetic identity: transaction graphs, GNN message passing, typology features, and a production model architecture.
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MPC Wallet Custody Architecture: Threshold Signatures and Key Sharding (2026)

MPC Wallet Custody Architecture: Threshold Signatures and Key Sharding (2026)

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inTechNo Comments
How MPC custody wallets work: threshold ECDSA/EdDSA signing, key sharding, distributed key generation, signing ceremonies, and an institutional custody reference architecture.
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Internal Developer Platform Comparison: Backstage vs Port vs Cortex (2026)

Internal Developer Platform Comparison: Backstage vs Port vs Cortex (2026)

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inTechNo Comments
A 2026 internal developer platform comparison: Backstage vs Port vs Cortex on catalog, scaffolding, scorecards, extensibility, and total cost - a decision matrix for platform engineering.
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Posts pagination

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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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