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Continuous Batching for LLM Inference: Architecture and Throughput (2026)

Continuous Batching for LLM Inference: Architecture and Throughput (2026)

Posted by By MPRAUTO MPRAUTO July 16, 2026Posted inAI1 Comment
Continuous batching (in-flight batching) for LLM inference: iteration-level scheduling, prefill/decode interleaving, and how it lifts GPU throughput without hurting latency in 2026.
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GLM-5.2 Explained: Architecture, Benchmarks, and Deployment (2026)

GLM-5.2 Explained: Architecture, Benchmarks, and Deployment (2026)

Posted by By MPRAUTO MPRAUTO July 16, 2026Posted inAI1 Comment
GLM-5.2 architecture explained: Zhipu's 744B MoE with ~40B active, 1M-token IndexShare context, MIT weights, SWE-bench Pro 62.1, pricing, and how it compares in 2026.
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IoT Device Identity and Attestation Architecture (2026)

IoT Device Identity and Attestation Architecture (2026)

Posted by By MPRAUTO MPRAUTO July 13, 2026Posted inTechNo Comments
IoT device identity and attestation architecture: hardware roots of trust, DICE, TPM/secure elements, provisioning, and remote attestation for device fleets in 2026.
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ML Interatomic Potentials: Simulation-in-the-Loop Discovery (2026)

ML Interatomic Potentials: Simulation-in-the-Loop Discovery (2026)

Posted by By MPRAUTO MPRAUTO July 13, 2026Posted inAutonomous ScienceNo Comments
Machine learning interatomic potentials explained: MACE, foundation potentials, and GNoME-class screening that narrows the search before robots run experiments.
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Agentic Payments Architecture: How AI Agents Pay Safely (2026)

Agentic Payments Architecture: How AI Agents Pay Safely (2026)

Posted by By MPRAUTO MPRAUTO July 13, 2026Posted inTechNo Comments
Agentic payments architecture: how AI agents authorize and settle purchases with scoped mandates, tokenization, and verifiable intent - a systems view for 2026.
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OpenTelemetry Logs: Unified Telemetry Pipeline Architecture (2026)

OpenTelemetry Logs: Unified Telemetry Pipeline Architecture (2026)

Posted by By MPRAUTO MPRAUTO July 13, 2026Posted inKubernetes1 Comment
OpenTelemetry logs and a unified telemetry pipeline: the Collector, log-trace correlation, OTTL processing, tail sampling, and cost control patterns for 2026.
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LLM Model Routing Architecture: Cost and Quality at Scale (2026)

LLM Model Routing Architecture: Cost and Quality at Scale (2026)

Posted by By MPRAUTO MPRAUTO July 13, 2026Posted inAI1 Comment
LLM model routing architecture: how to route requests across models by cost, quality, and latency with semantic routers, cascades, and eval-driven policies in 2026.
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Grok 4.20 Explained: Architecture, Benchmarks, and Deployment (2026)

Grok 4.20 Explained: Architecture, Benchmarks, and Deployment (2026)

Posted by By MPRAUTO MPRAUTO July 13, 2026Posted inAINo Comments
Grok 4.20 architecture explained: the 4-agent council, 2M-token context, benchmarks, pricing, and how xAI's flagship compares to GPT-5 and Claude in 2026.
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AI for Science Landscape 2026: Periodic Labs, Lila Sciences, and the Self-Driving-Lab Race

AI for Science Landscape 2026: Periodic Labs, Lila Sciences, and the Self-Driving-Lab Race

Posted by By MPRAUTO MPRAUTO July 12, 2026Posted inTechNo Comments
A 2026 map of the AI-for-science landscape: Periodic Labs, Lila Sciences, Berkeley A-Lab, Emerald Cloud Lab, and academic SDLs — capital, technical approach, moats, and honest caveats.
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The Autonomous Materials-Discovery Pipeline: Closed-Loop Synthesis and Characterization (2026)

The Autonomous Materials-Discovery Pipeline: Closed-Loop Synthesis and Characterization (2026)

Posted by By MPRAUTO MPRAUTO July 12, 2026Posted inTechNo Comments
Inside an autonomous materials-discovery pipeline: ML screening, robotic synthesis, automated characterization, and the learning loop — plus an honest look at the A-Lab novelty debate.
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Posts pagination

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  • Dagger vs GitHub Actions: Programmable, Container-Native CI/CD Pipelines (2026)
  • KubeVirt vs VMware vSphere: Running VMs on Kubernetes and Migration Architecture (2026)
  • OpenLineage and Marquez: Data Lineage Architecture, Column-Level Lineage and Impact Analysis (2026)
  • Engineering Change Management in PLM: ECR, ECO, ECN, Effectivity and the Digital Thread (2026)
  • CUDA Graphs and torch.compile for LLM Decode Latency: Killing Launch Overhead (2026)
  • Agentic Commerce Protocols: ACP vs AP2 vs UCP for AI Agent Payments (2026)
  • ACT Action Chunking Transformers and ALOHA: Bimanual Imitation Learning vs Diffusion Policy (2026)
  • LiDAR-Inertial Odometry: LIO-SAM vs FAST-LIO2 vs KISS-ICP for Robot Localization (2026)
  • Neural Text-to-Speech Architecture: VITS, Codec Language Models and Flow-Matching TTS (2026)
  • NVFP4 vs MXFP4: 4-Bit Floating Point for LLM Training and Inference (2026)
  • Tensor vs Expert vs Data Parallelism for LLM Inference: MoE Serving Design (2026)
  • ReBAC Authorization: Zanzibar, OpenFGA vs SpiceDB vs Cedar Architecture (2026)
  • LCR and NSFR Calculation Engine: HQLA, Run-Off Rates and Basel III Liquidity Reporting Architecture (2026)
  • Visual Servoing for Robots: IBVS vs PBVS, the Interaction Matrix and Hybrid 2.5D Control (2026)
  • Digital FMEA: AIAG-VDA 7-Step Method, Knowledge Graphs and the PLM Digital Thread (2026)
  • Statistical Process Control in IIoT: Control Charts, Cpk, Western Electric and Nelson Rules in a Streaming Architecture (2026)
  • SAE J1939 Explained: PGN, SPN, Transport Protocol and a Heavy-Duty Vehicle Telematics Data Pipeline (2026)
  • MCP Server Security: Tool Poisoning, Confused Deputy, OAuth 2.1 Resource Indicators and a Threat Model (2026)
  • Envoy xDS Control Plane Architecture: LDS, CDS, EDS, RDS, Delta xDS and Building a Control Plane (2026)
  • ML Pipeline Orchestration: Kubeflow Pipelines vs Flyte vs Metaflow vs Argo Workflows vs Airflow (2026)
  • Pipeline Parallelism for LLM Training: GPipe, 1F1B, Interleaved, Zero-Bubble and DualPipe Schedules (2026)
  • Diffusion Language Models: LLaDA, Masked Discrete Diffusion and Parallel Decoding vs Autoregressive LLMs (2026)
  • Securities Lending and Repo Architecture: SFTR Reporting, Tri-Party Collateral and Optimization (2026)
  • CCP Initial Margin Models: SPAN vs VaR, the Default Waterfall and Procyclicality Controls (2026)
  • Asset Administration Shell Submodels in Practice (2026 Guide)
  • Digital Product Passport Architecture: The EU ESPR Data Model (2026)
  • TWAP Execution Algorithm Architecture: Design & Slippage (2026)
  • Q2 2026 LLM Inference Benchmark: vLLM vs TGI vs SGLang vs Triton
  • Multi-Agent Orchestration 2026: MCP vs A2A vs LangGraph
  • RT-DETR vs YOLO: NMS-Free Transformer Object Detection, Latency and Edge Deployment with TensorRT (2026)
  • Model Predictive Control (MPC) vs PID: Constraints, Prediction Horizons and a Hands-On OSQP and acados Tutorial (2026)
  • IO-Link and IO-Link Wireless: Master Architecture, IODD, Process Data and Integration with OPC UA and MQTT (2026)
  • Credit Scoring and Underwriting ML Architecture: Scorecards, Gradient Boosting, Adverse Action Explainability and Monitoring (2026)
  • Basel III Endgame Risk-Weighted Assets Engine: Standardised Approach Calculation Architecture and Data Lineage (2026)
  • 3-D Secure 2 (EMV 3DS) Architecture: PSD2 SCA, Frictionless vs Challenge Flows and Risk-Based Authentication (2026)
  • Polars vs DuckDB vs DataFusion: Apache Arrow Analytical Engines Compared for 2026 Workloads
  • S3-Compatible Object Storage: Ceph RGW vs MinIO vs SeaweedFS vs Garage Architecture Decision Record (2026)
  • Slurm vs Kubernetes for AI Training: Kueue, Volcano, Slinky and the 2026 GPU Scheduling Decision Guide
  • NVLink vs InfiniBand vs RoCE: NCCL All-Reduce, Collectives and GPU Cluster Network Design for AI Training (2026)

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