Skip to content
IoT Digital Twin PLM
  • Home
  • About
  • Blog
  • Consult
  • Contact
  • Cookie Policy
  • Disclaimer
  • Privacy Policy
  • Terms of Service

Posts by MPRAUTO MPRAUTO

  • Home
  • MPRAUTO MPRAUTO
About MPRAUTO MPRAUTO
vLLM vs SGLang vs TensorRT-LLM in 2026: The Serving Engine Pick

vLLM vs SGLang vs TensorRT-LLM in 2026: The Serving Engine Pick

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted inAINo Comments
vLLM, SGLang, and TensorRT-LLM compared for 2026 production LLM serving: throughput, KV-cache handling, and which to pick by workload.
Read More
OpenAI o3 and o4-mini Explained: The Reasoning-Model Lineage (2026)

OpenAI o3 and o4-mini Explained: The Reasoning-Model Lineage (2026)

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted inAINo Comments
OpenAI's o3 and o4-mini reasoning models explained: architecture, reasoning-token pricing, AIME/SWE-bench scores, and when to pick them over GPT-5.
Read More
pgvector vs Qdrant vs LanceDB: On-Prem RAG Vector Search (2026)

pgvector vs Qdrant vs LanceDB: On-Prem RAG Vector Search (2026)

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted inKubernetesNo Comments
pgvector, Qdrant, and LanceDB compared for on-prem RAG in 2026: indexing, filtering, latency at scale, and operational overhead.
Read More
OTLP vs Prometheus Remote Write: The 2026 Metrics Pipeline Decision

OTLP vs Prometheus Remote Write: The 2026 Metrics Pipeline Decision

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted inKubernetesNo Comments
OTLP metrics vs Prometheus remote write compared for 2026: cardinality control, push vs pull, and the migration path for existing Prometheus fleets.
Read More
TensorRT-LLM vs llama.cpp on Jetson: Throughput, VRAM & Setup (2026)

TensorRT-LLM vs llama.cpp on Jetson: Throughput, VRAM & Setup (2026)

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted inAINo Comments
TensorRT-LLM vs llama.cpp benchmarked on NVIDIA Jetson in 2026: tokens/sec, VRAM footprint, quantization support, and setup pain compared.
Read More
INT4 vs INT8 vs FP8 on Edge NPUs: The 2026 Quantization Trade-off

INT4 vs INT8 vs FP8 on Edge NPUs: The 2026 Quantization Trade-off

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted inAINo Comments
INT4, INT8, and FP8 quantization compared on edge NPUs in 2026: accuracy loss, latency, and memory trade-offs for vision and LLM workloads.
Read More
Sparkplug B vs Plain MQTT Topics: Do You Actually Need Sparkplug? (2026)

Sparkplug B vs Plain MQTT Topics: Do You Actually Need Sparkplug? (2026)

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted iniiotNo Comments
Sparkplug B 3.0 vs plain MQTT topic design in 2026: a decision guide on when the extra schema, state, and tooling actually pay off.
Read More
PROFINET vs EtherCAT vs OPC UA FX+TSN: The 2026 Deterministic Ethernet Decision

PROFINET vs EtherCAT vs OPC UA FX+TSN: The 2026 Deterministic Ethernet Decision

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted iniiotNo Comments
PROFINET, EtherCAT, and OPC UA FX over TSN compared for 2026 deterministic industrial networks: cycle times, convergence, and migration cost.
Read More
OPC UA vs MQTT Sparkplug B: The Industrial Connectivity Decision (2026)

OPC UA vs MQTT Sparkplug B: The Industrial Connectivity Decision (2026)

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted iniiotNo Comments
OPC UA vs MQTT Sparkplug B compared for 2026 industrial connectivity: semantic modeling, state management, and when to run both together.
Read More
Agentic RAG Architecture Patterns: When Plain RAG Is Not Enough

Agentic RAG Architecture Patterns: When Plain RAG Is Not Enough

Posted by By MPRAUTO MPRAUTO August 13, 2026Posted inAINo Comments
Agentic RAG architecture patterns for 2026: planner-executor retrieval loops, tool-augmented search, and when plain RAG breaks down.
Read More

Posts pagination

1 2 3 … 52 Next page
  • 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)

Leave a Comment and share if you find it helpful Reading the Article in IoT Digital Twin PLM Site

Home

Tag Cloud

ADR Agentic AI AI Agents ai for science AI Models benchmark Biotech Cilium Data Engineering devops digital twin eBPF Edge AI edge computing Fact Check fintech humanoid robots iiot Industrial IoT industrial protocols Industry 4.0 industry analysis inference iot IoT Protocols Kubernetes LLM LLM inference Machine Learning manufacturing mixture of experts MQTT NVIDIA Observability OPC UA Physical AI physics PLM RAG Robotics ROS2 semiconductors Trading Systems tutorial Unified Namespace

Categories

  • AI 129
  • Architecture 15
  • Autonomous Science 7
  • aws 2
  • Azure 5
  • Business 7
  • Development 30
  • Digital Transformation 1
  • Digital Twin 38
  • Health 4
  • iiot 99
  • iot 16
  • Kubernetes 40
  • Network 5
  • Newsbeat 4
  • PLM 10
  • Science 56
  • Security 10
  • Tech 138
  • Uncategorized 2
Copyright 2026 — IoT Digital Twin PLM. All rights reserved. Sinatra WordPress Theme
Scroll to Top