GitHub - MaximiH-86/GridPulse_Production_Server: Autonomous low-latency grid remediation and orchestration engine written in C++ to stabilize utility infrastructures supporting high-density AI clusters. · GitHub
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MaximiH-86
GridPulse_Production_Server
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.gitattributes
.gitattributes
.gitignore
.gitignore
GridPulse_Production_Server.cpp
GridPulse_Production_Server.cpp
GridPulse_Production_Server.slnx
GridPulse_Production_Server.slnx
GridPulse_Production_Server.vcxproj
GridPulse_Production_Server.vcxproj
GridPulse_Production_Server.vcxproj.filters
GridPulse_Production_Server.vcxproj.filters
HTMLPage1.html
HTMLPage1.html
README.md
README.md
compliance_audit_trail.csv
compliance_audit_trail.csv
gridpulse_live_telemetry.csv
gridpulse_live_telemetry.csv
gridpulse_telemetry_log.csv
gridpulse_telemetry_log.csv
run_visualizer.ps1
run_visualizer.ps1
telemetry_log.csv
telemetry_log.csv
vectorgrid_live_telemetry.csv
vectorgrid_live_telemetry.csv
visualizer.html
visualizer.html
web_ui.ps1
web_ui.ps1
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VectorGrid Core v4.0
An autonomous, bare-metal, low-latency grid orchestration and load-remediation engine written in native C++ to stabilize utility infrastructures supporting high-density AI data centers.
⚡ The Architecture Moat
Frontier LLM training clusters create massive, volatile megawatt step-response surges that strain utility substations and cause localized transformer fatigue. VectorGrid Core operates as a software-defined stabilizer directly between incoming compute workloads and physical power infrastructure networks.
⏱️ Performance Benchmarks
Deterministic Loop Budget : Ingestion, safety watchdog constraints, and load-shedding remediation evaluate within a strict 33.00 ms window (under a single standard utility grid sub-cycle)
Bare-Metal Runtime Execution : Compiled natively in C++ (ws2tcpip.h) to completely eliminate heavy hypervisor virtualization and cloud middleware latency jitter
Sovereign Network Gateway : Broadcaster hosts data payload arrays natively over network sockets via Port 8080 with embedded production CORS safety clearance headers
🛰️ Production Data Integration Roadmap
The current repository architecture operates a high-fidelity hardware-simulation engine to safely stress-test control threads under extreme multi-megawatt workload conditions. The production roadmap shifts this core into live infrastructure environments via three integration layers:
NVIDIA NVML Hooks : Bind dynamically to native nvml.dll driver handles (nvmlDeviceGetPowerUsage) to query physical GPU silicon registers in real time
Industrial Sockets : Deploy standard Modbus TCP and BACnet wrappers to ingest telemetry from facility branch circuit breakers and smart PDUs
Utility SCADA APIs : Tap into regional electrical grid telemetry matrices to balance active data center draws against regional grid voltage sags
💻 Local Testing & Setup
To compile and view the live telemetry stream dashboard natively from source:
Open the project solution within Visual Studio
Ensure the compiler properties Target Name is set to VectorGrid_v4_Pristine
Press Ctrl + F5 to initialize the multi-threaded socket backend server
Open a browser window to http://localhost:8080 to view the live dashboard data stream mapping active remediation states
About<br>Autonomous low-latency grid remediation and orchestration engine written in C++ to stabilize utility infrastructures supporting high-density AI clusters.<br>Resources<br>Readme<br>Activity<br>Stars<br>0 stars<br>Watchers<br>0 watching<br>Forks<br>0 forks<br>Report repository
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