LumaCorp Docs
  • Overview
  • Mission and Vision
  • Core Computing Infrastructure
  • Future Ideas
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Core Computing Infrastructure

Performance

  • 200 petaflops (FP64): Capable of executing 200 quadrillion operations per second.

  • Optimized for parallel computing, essential for simulating complex galactic systems.

Memory Bandwidth

  • 4.6 TB/s: High-speed data access for real-time analysis.

  • Supports processing of large numbers of parameters, such as atmospheric composition, gravitational forces, and energy flows.

AI Acceleration

  • 4,608 GPUs with Tensor Core architecture, optimized for machine learning and deep analysis.

  • Enables efficient simulation of chemical interactions, material properties, and dynamic planetary systems.

Data Management

Storage

  • 250 petabytes of distributed capacity for storing and analyzing massive datasets.

  • Redundant systems ensure data preservation during extended simulations.

Data Processing

  • Processes up to 2 petabytes of raw data daily.

  • Utilizes modern compression algorithms to save storage space without losing precision.

Simulation Library

Over 5,000 pre-configured templates for rapid testing of hypotheses related to planetary and material systems.

Global Distributed System

  • More than 50 supercomputing nodes for distributed processing with low latency.

  • Reduces large-scale simulation time by 50%.

Secure Communication

Uses encryption protocols to ensure secure synchronization of data between nodes.

Simulation Features

Variable Modeling

Handles up to 100,000 simultaneous parameters, including:

  • Atmospheric pressure

  • Tectonic activity

  • Energy flows

  • Resource density

Dynamic Adaptation

Real-time model recalibration based on new data inputs.

Multi-Galaxy Capability

Capable of simulating up to 10 galaxies simultaneously.

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Last updated 5 months ago