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System Requirements

Calculate the infrastructure requirements for your BrainPredict deployment. Select the platforms you need and get instant recommendations for RAM, CPU, and storage.

System Requirements Calculator

Select the platforms you need to see the recommended system requirements for your installation.

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Optional Add-Ons

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Performance Optimization

BrainPredict uses intelligent lazy loading to minimize memory consumption. AI models are loaded on-demand, ensuring optimal performance.

  • • Lazy loading for AI models
  • • Efficient memory management
  • • Automatic resource cleanup
  • • Multi-threading support

Scalability

Start with one platform and scale to all 16 platforms as your needs grow. Add or remove platforms without downtime.

  • • Horizontal scaling support
  • • Zero-downtime updates
  • • Load balancing ready
  • • Multi-tenant architecture

Security & Compliance

All data remains on your premises. BrainPredict is fully compliant with GDPR, CCPA, HIPAA, SOC2, and ISO standards.

  • • On-premise deployment
  • • End-to-end encryption
  • • GDPR compliant
  • • ISO 27001 certified

Technical Specifications

Supported Platforms

  • • Linux (Ubuntu 20.04+, CentOS 8+, RHEL 8+)
  • • Docker & Kubernetes
  • • Cloud VMs (AWS, Azure, GCP, Hetzner)
  • • On-premise servers

Database Requirements

  • • PostgreSQL 13+ (recommended)
  • • Redis 6+ for caching
  • • Automatic schema migrations
  • • Multi-tenant database support

AI Voice Interface

Optional Add-on • €199/month base

Prerequisite: Requires AI Orchestrator subscription (€299/month) for intelligent voice command processing.

Add hands-free voice commands to interact with all your AI models. Speak naturally in 30+ languages, get audio responses, and control your entire BrainPredict ecosystem by voice.

Audio Input Requirements

  • • Microphone (built-in or USB)
  • • Audio input device with 16kHz+ sampling rate
  • • ALSA/PulseAudio support (Linux)
  • • Noise cancellation recommended

Audio Output Requirements

  • • Speakers or headphones
  • • Audio output device with 22kHz+ sampling rate
  • • ALSA/PulseAudio support (Linux)
  • • Text-to-speech engine (pyttsx3 included)

Additional System Resources

  • • +2 GB RAM (Whisper speech-to-text model)
  • • +1 CPU core (audio processing)
  • • +500 MB storage (Whisper model files)
  • • 30+ languages supported via T5 Translation Service
100% Local Processing: Voice commands run entirely on your premises with Whisper + pyttsx3. No audio data ever leaves your infrastructure.

External Data for Enhanced Accuracy

87 of 445 AI models can leverage external data (regulations, market data, news) via two methods

Method 1: Via Connectors (Preferred)

If your enterprise systems already contain external data, our 225 connectors pull it automatically - no API keys needed!

  • Workday + Labor Law Module → People models
  • SAP + Market Data Feed → Supply models
  • LexisNexis/Westlaw → Legal models
  • Bloomberg Terminal → Finance models

No additional cost or API keys required!

🔑

Method 2: Direct API Keys (Alternative)

If your systems don't have external data, you can provide your own API keys for direct real-time feeds.

  • NewsAPI, GDELT for news monitoring
  • Twitter/X, LinkedIn for social data
  • Alpha Vantage for market data
  • OpenWeatherMap for weather data

+5-10% accuracy improvement

Zero-Knowledge Architecture: Whether via connectors or direct APIs, all data stays on YOUR premises. BrainPredict never sees your external data or API keys.

Free External APIs

  • NewsAPI - 100 req/day free (25 models)
  • OpenWeatherMap - 1,000 calls/day free (5 models)
  • GDELT - Unlimited free (12 models)
  • USPTO/EPO - Free patent data (6 models)
  • Reddit API - 60 req/min free (10 models)

Premium External APIs

  • Twitter/X API - $100-5,000/mo (20 models)
  • LinkedIn API - Partner program (12 models)
  • Alpha Vantage - $50-300/mo (15 models)
  • Crunchbase - $29-99/mo (5 models)
  • SimilarWeb - Custom pricing (6 models)

Configure external API keys in Portal → Settings → External API Keys after installation

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