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Apple

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macOS

Oppla’s AI-powered features are optimized for modern macOS systems. We support the following macOS releases:
VersionCodenameApple StatusOppla StatusAI Features
macOS 15.xSequoiaSupportedFully SupportedFull AI
macOS 14.xSonomaSupportedFully SupportedFull AI
macOS 13.xVenturaSupportedFully SupportedFull AI
macOS 12.xMontereyEOL 2024-09-16SupportedFull AI
macOS 11.xBig SurEOL 2023-09-26Partially SupportedLimited AI
macOS 10.15.xCatalinaEOL 2022-09-12Partially SupportedBasic AI
macOS 10.14.xMojaveEOL 2021-10-25UnsupportedNone
Note: The macOS releases labeled “Partially Supported” (Big Sur and Catalina) have limited AI collaboration features. Advanced screen sharing and real-time AI pair programming features require macOS 12 (Monterey) or newer for optimal performance.

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Mac Hardware

Oppla’s intelligent features leverage modern hardware capabilities. We support machines with Intel (x86_64) or Apple Silicon (aarch64) processors that meet the above macOS requirements:
  • MacBook Pro (Early 2015 and newer) - AI features optimized for M-series chips
  • MacBook Air (Early 2015 and newer) - Best AI performance on M1/M2/M3 models
  • MacBook (Early 2016 and newer)
  • Mac Mini (Late 2014 and newer) - Excellent for AI model processing
  • Mac Pro (Late 2013 or newer) - Ideal for large-scale AI operations
  • iMac (Late 2015 and newer)
  • iMac Pro (all models) - Superior AI computation capabilities
  • Mac Studio (all models) - Premium AI performance
AI Performance Note: Apple Silicon (M1, M2, M3) processors provide significantly enhanced AI inference speeds, up to 3x faster than Intel-based Macs for certain AI operations.

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Linux

Oppla’s AI engine supports 64-bit Intel/AMD (x86_64) and 64-bit ARM (aarch64) processors, bringing intelligent development to Linux users.

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Requirements

Oppla requires:
  • Vulkan 1.3 driver - For accelerated AI rendering and computation
  • 8GB RAM minimum (16GB recommended for optimal AI performance)
  • 2GB available disk space for core installation
  • Additional 2-4GB for AI models (downloaded on first use)

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Required Desktop Portals

The following desktop portals are required for full functionality:
  • org.freedesktop.portal.FileChooser - For intelligent file selection
  • org.freedesktop.portal.OpenURI - For smart link handling
  • org.freedesktop.portal.Secret or org.freedesktop.Secrets - For secure AI API key storage
Oppla’s AI features are tested and optimized on:
  • Ubuntu 20.04 LTS and newer
  • Fedora 38 and newer
  • Arch Linux (rolling release)
  • Debian 11 and newer
  • openSUSE Tumbleweed

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Windows

Coming Soon: Native Windows support is under active development. Our AI-powered features are being optimized for Windows 11’s advanced capabilities. For early access, you can build from source.

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FreeBSD

Not yet available as an official download. Advanced users can build from source.

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Web

Future Development: We’re exploring web-based access to Oppla’s AI capabilities. This would allow you to use Oppla’s intelligent features from any device with a modern browser. Track progress on our Platform Support roadmap.

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AI Model Requirements

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Local AI Processing

For optimal local AI model performance:
  • RAM: 16GB minimum, 32GB recommended
  • GPU: Optional but recommended for faster inference
    • NVIDIA GPUs with CUDA support
    • Apple Silicon GPUs (automatic on M-series Macs)
    • AMD GPUs with ROCm support (Linux)
  • Storage: 10GB+ for larger language models

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Cloud AI Processing

For cloud-based AI features:
  • Internet: Stable broadband connection (10 Mbps+)
  • Latency: Less than 100ms to AI servers for best experience
  • API Keys: Valid credentials for chosen AI providers

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Performance Recommendations

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For Best AI Experience

  • Apple Silicon Macs: Native optimization provides fastest AI inference
  • NVIDIA GPU Systems: Enable CUDA acceleration for 5-10x speed improvements
  • High-Speed SSD: Reduces model loading times significantly
  • 32GB+ RAM: Allows running larger, more capable AI models locally

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Network Requirements

Oppla’s AI features can work offline with local models, but for the full experience:
  • Stable internet for cloud AI providers
  • Low latency for real-time AI collaboration
  • Sufficient bandwidth for model downloads (first-time setup)