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Posts by MPRAUTO MPRAUTO

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  • MPRAUTO MPRAUTO
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About MPRAUTO MPRAUTO
Meta Muse and Muse Code: Personal Agent Architecture and Pricing Explained

Meta Muse and Muse Code: Personal Agent Architecture and Pricing Explained

Posted by By MPRAUTO MPRAUTO October 2, 2026Posted inAINo Comments
Meta Muse is a 24/7 personal agent and Muse Code a coding tier. What is confirmed on tiers and quota, plus engineering trade-offs of always-on agents.
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Grok 4.7 Explained: xAI Architecture, CursorBench Results and Pricing

Grok 4.7 Explained: xAI Architecture, CursorBench Results and Pricing

Posted by By MPRAUTO MPRAUTO October 2, 2026Posted inAINo Comments
Grok 4.7 from xAI explained: what is disclosed on architecture, the CursorBench 46 percent result, API pricing near $2 per million tokens, and how it compares.
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Tencent Hy4 Explained: 770B MoE, Sherry Quantization and Open Weights

Tencent Hy4 Explained: 770B MoE, Sherry Quantization and Open Weights

Posted by By MPRAUTO MPRAUTO October 2, 2026Posted inAINo Comments
Tencent Hy4 preview explained: 770B total and 49B active MoE, Apache 2.0, Sherry quantization to about 214GB, and what it takes to run it locally.
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DeepSeek V4.1 Flash Explained: MoE Architecture, KV Cache, Benchmarks

DeepSeek V4.1 Flash Explained: MoE Architecture, KV Cache, Benchmarks

Posted by By MPRAUTO MPRAUTO October 2, 2026Posted inAI2 Comments
DeepSeek V4.1 Flash explained: 552B MoE with small active parameters, MIT license, KV-cache savings, benchmarks, and how to self-host or call it by API.
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GPU Memory Physics: DRAM vs SRAM, Kernel Fusion and FlashAttention (Series Part 3)

GPU Memory Physics: DRAM vs SRAM, Kernel Fusion and FlashAttention (Series Part 3)

Posted by By MPRAUTO MPRAUTO October 2, 2026Posted inAI2 Comments
GPU memory physics: DRAM vs SRAM latency and bandwidth, tiling, kernel fusion, and why FlashAttention made LLM inference faster. Series finale.
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GPU Kernel Engineering: Why C = A + B Is Not Enough (Series Part 2)

GPU Kernel Engineering: Why C = A + B Is Not Enough (Series Part 2)

Posted by By MPRAUTO MPRAUTO October 2, 2026Posted inAINo Comments
GPU kernel engineering explained: thread indexing, launch configuration, coalescing, divergence, and why a naive C = A + B kernel starves on memory.
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GPU Parallelism Explained: SM, Block, Warp and Thread Hierarchy (Series Part 1)

GPU Parallelism Explained: SM, Block, Warp and Thread Hierarchy (Series Part 1)

Posted by By MPRAUTO MPRAUTO October 2, 2026Posted inAI1 Comment
GPU parallelism from first principles: CPU vs GPU, the chip-SM-block-warp-thread hierarchy, and how an iPhone 120 FPS camera pipeline maps onto it.
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The Memory Wall in 2026: Optical Interconnect, LPDDR6 and Physical AI

The Memory Wall in 2026: Optical Interconnect, LPDDR6 and Physical AI

Posted by By MPRAUTO MPRAUTO October 1, 2026Posted inAINo Comments
Micron is sampling LPDDR6 for physical AI; Volantis raised $88M for optical memory links. Why bandwidth bounds AI and where the architecture goes.
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Bitget $387.5M Breach: Third-Party Zero-Day and Exchange Security Architecture

Bitget $387.5M Breach: Third-Party Zero-Day and Exchange Security Architecture

Posted by By MPRAUTO MPRAUTO October 1, 2026Posted inTechNo Comments
Bitget lost $387.5M via a third-party vendor zero-day. Reported facts, custody and hot-wallet lessons, and vendor-risk controls for crypto platforms.
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AI Data Center Power: Behind-the-Meter, Nuclear PPAs and Grid Architecture

AI Data Center Power: Behind-the-Meter, Nuclear PPAs and Grid Architecture

Posted by By MPRAUTO MPRAUTO October 1, 2026Posted inKubernetes1 Comment
JERA, Dell and RHAELM plan a 400MW behind-the-meter AI campus; Amazon signed a Calvert Cliffs nuclear PPA. How AI data center power architecture works.
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Posts pagination

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  • Teamcenter 2606: Copilot for CAD and PMI, New Active Workspace, SAP and Polarion Links (2026)
  • Isaac Sim 6.2: Newton 1.6.1, Cortex Removal and Breaking Changes Before You Upgrade (2026)
  • Matter 1.6 and 1.6.1: Groupcast, NFC Setup, Joint Fabric, Product Security 1.1 (2026)
  • Linux 7.1 Mainline PREEMPT_RT on 32-bit ARM: Build, Measure Latency, Compare With Zephyr (2026)
  • Qualcomm Dragonwing Q-2390 vs IQ-2390: A78, 1.1 TOPS NPU, TSN, RISC-V Core (2026)
  • Terraform MCP Server GA: Connecting AI Assistants to HCP Terraform Safely (2026)
  • GitHub’s 8-Hour Outage (Aug 17, 2026): Build a CI/CD Fallback With Mirrors and Runners
  • Google Cloud europe-west2-b Outage (Oct 20, 2026): What Failed and Multi-Zone Failover Design
  • Python 3.15 for ML Pipelines: Lazy Imports, frozendict, Tachyon Profiler and JIT (2026)
  • Nex-N2.5 Agent Models Explained: 1.6T Max, 397B Pro, 35B Mini and the Open-Weights Status (2026)
  • MBZUAI K2 Horizon: Six Fully Open Models up to 375B-A23B, Apache 2.0, With Training Recipes (2026)
  • StepFun Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context for Agents (2026)
  • OpenTelemetry GenAI Semantic Conventions: Tracing LLM Calls, Agents, Tokens and Cost (2026)
  • ROS 2 QoS Profiles and DDS Tuning: Reliability, Durability, Deadline and Lifespan over Lossy Wi-Fi (2026)
  • Apache Arrow Flight SQL for High-Throughput Telemetry: Columnar Zero-Copy vs gRPC vs MQTT (2026)
  • ChirpStack LoRaWAN Network Server Architecture: Gateway Bridge, ADR, Multicast and FUOTA (Self-Hosted, 2026)
  • CBOR vs Protobuf vs MessagePack vs FlatBuffers: Encoding IoT Payloads on Constrained Devices (nanopb, CDDL, COSE) (2026)
  • Kubernetes In-Place Pod Resize: Vertical Scaling Without Restarts, VPA, cgroups and QoS (2026)
  • Model Cards, Datasheets and ML-BOM (CycloneDX): AI Supply-Chain Provenance and EU AI Act Documentation (2026)
  • RAG Retrieval Evaluation: Recall@k, nDCG, MRR, Golden Sets and RAGAS in a CI Pipeline (2026)
  • 800V DC Power for AI Data Centers: Solid-State Transformers, Rack Architecture and Efficiency Math (2026)
  • Vehicle Signal Specification (VSS) and Eclipse Kuksa: Software-Defined Vehicle Data Layer Architecture (2026)
  • Rust Embedded for IoT Firmware: Embassy Async vs Zephyr vs FreeRTOS on Cortex-M (2026)
  • WebGPU In-Browser LLM Inference: WebLLM, WGSL Kernels, VRAM Limits and When It Beats WASM (2026)
  • LLM Gateways Compared: LiteLLM vs Portkey vs Kong AI Gateway vs Cloudflare AI Gateway (2026)
  • Managed Kubernetes in 2026: EKS vs GKE vs AKS on Networking, Upgrades, Autoscaling and Cost
  • Co-Simulation Master Algorithms: Jacobi vs Gauss-Seidel, SSP and Algebraic Loops for Digital Twins (2026)
  • SROS2: ROS 2 Security with DDS-Security, Enclaves, Certificates and Access Control Policies (2026)
  • SLH-DSA vs ML-DSA vs FN-DSA: Post-Quantum Firmware Signing and Secure Boot for IoT (2026)
  • A/B Testing for ML Systems: CUPED, Sequential Testing, Interleaving and Contextual Bandits (2026)
  • Vitess vs Citus vs CockroachDB: Horizontal Sharding Architecture for MySQL and PostgreSQL (2026)
  • Distributed Locks, Leases and Fencing Tokens: Redlock Critique and etcd/ZooKeeper Correctness (2026)
  • Confidential VMs: Intel TDX vs AMD SEV-SNP vs Arm CCA and Remote Attestation Architecture (2026)
  • GPU Sharing on Kubernetes: NVIDIA MIG vs MPS vs Time-Slicing vs vGPU for Multi-Tenant Inference (2026)
  • LLM Prefix Caching: RadixAttention vs vLLM Automatic Prefix Caching and KV Cache Reuse (2026)
  • Requirements Management in PLM: ReqIF, DOORS vs Jama vs Polarion and End-to-End Traceability (2026)
  • Large-Scale Digital Twin Visualization: 3D Tiles, Cesium, Point Cloud Streaming and LOD Architecture (2026)
  • TSN Time-Aware Shaper (IEEE 802.1Qbv): Gate Control List Scheduling for Deterministic Industrial Ethernet (2026)
  • ISA-88 Batch Control: Recipe Management, the Physical and Procedural Models, and MES/Digital Twin Integration (2026)

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