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vLLM 0.28 to 0.30 Migration: Model Runner V2 Default, Breaking Changes

vLLM 0.28 to 0.30 Migration: Model Runner V2 Default, Breaking Changes

Posted by By MPRAUTO MPRAUTO September 23, 2026Posted inTechNo Comments
Upgrading vLLM 0.28 to 0.30: Model Runner V2 is now default, MRV1 removal targeted for v0.32, new flags, removed env vars and a safe rollout checklist.
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Kubernetes 1.37 Gang Scheduling vs Volcano, Kueue and YuniKorn

Kubernetes 1.37 Gang Scheduling vs Volcano, Kueue and YuniKorn

Posted by By MPRAUTO MPRAUTO September 22, 2026Posted inTechNo Comments
Kubernetes 1.37 promotes PodGroup and gang scheduling to beta and adds CompositePodGroup. Do you still need Volcano, Kueue or YuniKorn?
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TwinOps: The Operational Lifecycle Architecture for Digital Twins (2026)

TwinOps: The Operational Lifecycle Architecture for Digital Twins (2026)

Posted by By MPRAUTO MPRAUTO July 10, 2026Posted inDigital TwinNo Comments
TwinOps applies DevOps discipline to digital twins: model versioning, continuous state sync, validation gates, drift detection, and closed-loop control across the twin lifecycle.
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Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness

Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness

Posted by By MPRAUTO MPRAUTO June 29, 2026Posted inAINo Comments
A feature store architecture deep-dive: online/offline parity, point-in-time correct joins, materialization, and the registry - how to stop training/serving skew in production ML.
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Edge MLOps Pipelines for Industrial IoT: 2026 Production Architecture

Edge MLOps Pipelines for Industrial IoT: 2026 Production Architecture

Posted by By MPRAUTO MPRAUTO June 3, 2026Posted inAINo Comments
Production-grade edge MLOps pipeline for industrial IoT — training, packaging, OTA delivery, drift detection, and rollback under network constraints.
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NVIDIA L4 + VMware for AI Inference (2026 Update)

NVIDIA L4 + VMware for AI Inference (2026 Update)

Posted by By mprcba May 25, 2026Posted inAINo Comments
NVIDIA L4 on VMware vSphere for AI inference, updated for 2026 — vGPU vs passthrough, sizing, L4 vs L40S, and a reference deployment with the cost math.
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LLM Evaluation Pipelines: LLM-as-Judge Done Right (2026)

LLM Evaluation Pipelines: LLM-as-Judge Done Right (2026)

Posted by By MPRAUTO MPRAUTO May 24, 2026Posted inAINo Comments
Build an LLM evaluation pipeline that you can trust — golden sets, LLM-as-judge pitfalls, calibration, drift detection, and a reference workflow.
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AI/ML Predictive Maintenance Careers in 2026: Skills, Roles, Stack, and Salaries

AI/ML Predictive Maintenance Careers in 2026: Skills, Roles, Stack, and Salaries

Posted by By mprcba March 28, 2023Posted inAINo Comments
A 2026 guide to AI/ML predictive maintenance careers: the real skill stack, roles from data engineer to reliability scientist, MLOps tooling, portfolios, and salary bands.
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  • vLLM 0.28 to 0.30 Migration: Model Runner V2 Default, Breaking Changes
  • Apache Spark 4.2 vs 4.1: CDC, Geospatial and Arrow-by-Default Risks
  • Terraform 1.16 vs OpenTofu 1.13: Where the IaC Forks Now Diverge
  • LeRobot v0.6 vs v0.5: What Changed and How to Migrate
  • OpenVINO 2026.4 vs 2025.4: What Changed for Edge LLMs and NPUs
  • Jetson Orin Nano 2 vs Orin Nano Super: 2x Inference, Same Socket
  • OPC UA 1.03 vs 1.05: Certification Ends 2026, Migration Guide
  • OpenPLC Runtime v4 vs v3: What Changed and How to Migrate (2026)
  • ClickHouse 26.8 LTS vs 26.3: Pipelined SQL, Iceberg Writes and Upgrade Risk
  • World Action Models vs VLAs: Cosmos 3, VLA-JEPA and FastWAM Compared
  • Cilium 1.20 ExternalAuth vs oauth2-proxy vs Istio AuthorizationPolicy
  • OPC UA FX v1.00.04 vs v1.00.03: What Changed in Part 81 and Part 84
  • What a ChatGPT Query Actually Costs in Energy and Water: Every Number, Traced to Source
  • MLPerf Edge Agentic Inference: How TensorRT Edge-LLM Beat llama.cpp 6.4x
  • Kubernetes 1.37 Gang Scheduling vs Volcano, Kueue and YuniKorn
  • Isaac Lab 3.0 vs 2.2: Quaternions Flipped, ProxyArray, and Kit-less Training
  • AAS Units of Measurement 3.0: The unitId Change That Breaks ECLASS Wiring
  • Postgres 19 REPACK vs pg_repack vs VACUUM FULL: Online Table Maintenance Compared
  • Gateway API v1.6 TCPRoute and UDPRoute vs LoadBalancer Services and Vendor CRDs
  • MCP Tasks vs Streaming vs Webhooks: Handling Long-Running Agent Tool Calls
  • Jetson T3000 vs T4000 vs T5000: Choosing a Thor Module on Bandwidth, MIG, and Power
  • TensorRT 11 vs TensorRT 10: Porting IPluginV2 to IPluginV3 Before Your Build Breaks
  • Nav2 Lyrical vs Kilted: MPPI Trajectory Validation and the New BT Control Nodes
  • Ethernet-APL vs Ethernet-SPE: Power Classes, PoDL, and What IEC TS 63444 Edition 2 Changed
  • ISO 23247-6 Digital Twin Composition: Integrated vs Unified vs Federated
  • Yocto on Jetson vs Ubuntu L4T: Building Production Edge AI Images with OE4T
  • Matter 1.5 Cameras: WebRTC Streaming, Privacy Zones, and What Thread 1.4 Changes
  • Flink 2.2 ML_PREDICT and VECTOR_SEARCH: Running Model Inference Inside a Stream
  • Kafka Queues (KIP-932) vs RabbitMQ vs SQS: Picking a Task Queue After Kafka 4.2
  • Kubernetes Pod Certificates vs SPIFFE/SPIRE vs cert-manager: Choosing Workload mTLS in 2026
  • MIG on Jetson Thor: GPU Partitioning for Mixed-Criticality Robotics in JetPack 7.2
  • OPC UA FX Controller-to-Device vs Controller-to-Controller: What C2D Adds in 2026
  • Eclipse 4diac 3.3: EtherCAT, Event Sequence View, and Headless Validation for IEC 61499
  • LoRA vs QLoRA vs Full Fine-Tuning vs Distillation: Choosing a Method for CPU-Deployed Small Models in 2026
  • Which Small Language Models Actually Run on CPU in 2026: 11 Models Compared
  • Ambient IoT in 3GPP Release 19 vs Release 20: Battery-Free Device Architecture for 2026 and Beyond
  • OPC UA Companion Specifications as MCP Tools: Wiring Industrial Semantics into AI Agents (2026)
  • LeRobotDataset v3.0: Chunked Parquet, MP4 Shards and Streaming for Robot Learning Data at Scale (2026)
  • Zephyr vs FreeRTOS vs NuttX in 2026: Choosing an RTOS for Industrial Edge Devices

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