...
This commit is contained in:
0
examples/grid1/.collection
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0
examples/grid1/.collection
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8
examples/grid1/benefits/_category_.json
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8
examples/grid1/benefits/_category_.json
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{
|
||||
"label": "AIBox Benefits",
|
||||
"position": 4,
|
||||
"link": {
|
||||
"type": "generated-index",
|
||||
"description": "The benefits of AIBox"
|
||||
}
|
||||
}
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28
examples/grid1/benefits/revenue_generation.md
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examples/grid1/benefits/revenue_generation.md
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|
||||
---
|
||||
title: Revenue Generation
|
||||
sidebar_position: 2
|
||||
---
|
||||
|
||||
### Renting Options
|
||||
|
||||
AIBox creates opportunities for revenue generation through resource sharing. The following numbers are suggestive as each AIBox owners can set their own pricing.
|
||||
|
||||
| Plan | Rate | Monthly Potential | Usage Scenario |
|
||||
|------|------|------------------|----------------|
|
||||
| Micro | $0.40/hr | $200-300 | Inference workloads |
|
||||
| Standard | $0.80/hr | $400-600 | Development |
|
||||
| Full GPU | $1.60/hr | $800-1,200 | Training |
|
||||
|
||||
### Proof of Capacity Revenues
|
||||
|
||||
The AIBox implements a tiered proof of capacity reward system, distributing monthly INCA tokens based on hardware configuration
|
||||
|
||||
| Configuration | Monthly Rewards |
|
||||
|---------------|----------------|
|
||||
| Base AIBox | 500-2000 INCA |
|
||||
| 1 GPU AIBox | 1000 INCA |
|
||||
| 2 GPU AIBox | 2000 INCA |
|
||||
|
||||
### Proof of Utilization Revenues
|
||||
|
||||
The AIBox implements a revenue-sharing model wherein device owners receive 80% of INCA tokens utilized for deployments, providing transparent proof of utilization economics.
|
32
examples/grid1/benefits/use_cases.md
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32
examples/grid1/benefits/use_cases.md
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---
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||||
title: Use Cases
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||||
sidebar_position: 3
|
||||
---
|
||||
|
||||
### Personal AI Development
|
||||
|
||||
The AIBox provides an ideal environment for individual developers working on AI projects:
|
||||
- Model training and fine-tuning
|
||||
- Experimental AI architectures
|
||||
- Unrestricted testing and development
|
||||
- Complete control over computing resources
|
||||
|
||||
The system allows developers to run extended training sessions without watching cloud billing meters or dealing with usage restrictions.
|
||||
|
||||
### Shared Resources
|
||||
|
||||
For teams and organizations, AIBox offers efficient resource sharing capabilities:
|
||||
- Multi-user environment
|
||||
- Resource pooling
|
||||
- Cost sharing
|
||||
- Distributed computing
|
||||
|
||||
This makes it particularly valuable for small teams and startups looking to maintain control over their AI infrastructure while managing costs.
|
||||
|
||||
### Commercial Applications
|
||||
|
||||
The system supports various commercial deployments:
|
||||
- AI-as-a-Service
|
||||
- Model hosting
|
||||
- Inference endpoints
|
||||
- Dataset processing
|
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examples/grid1/getting-started/_category_.json
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examples/grid1/getting-started/_category_.json
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{
|
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"label": "Getting Started",
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||||
"position": 5,
|
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"link": {
|
||||
"type": "generated-index",
|
||||
"description": "Getting started with the AIBox"
|
||||
}
|
||||
}
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examples/grid1/getting-started/pre_order_process.md
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examples/grid1/getting-started/pre_order_process.md
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||||
---
|
||||
title: Pre-Order Process
|
||||
sidebar_position: 2
|
||||
---
|
||||
|
||||
### How to Order
|
||||
|
||||
The steps to qcquire an AIBox is simple:
|
||||
1. [Select your configuration](./purchase_options.md)
|
||||
2. [Submit pre-order form](https://www2.aibox.threefold.io/signup/)
|
84
examples/grid1/getting-started/purchase_options.md
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examples/grid1/getting-started/purchase_options.md
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|
||||
---
|
||||
title: Purchase Options
|
||||
sidebar_position: 1
|
||||
---
|
||||
|
||||
### Base AIBox Plan ($1-1500)
|
||||
For experienced builders and hardware enthusiasts who want to customize their AI infrastructure. This plan provides the essential framework while allowing you to select and integrate your own GPU.
|
||||
|
||||
Base Configuration:
|
||||
- GPU: Your choice, with minimum requirement of AMD Radeon RX 7900 XT
|
||||
* Flexibility to use existing GPU or select preferred model
|
||||
* Support for multiple GPU vendors with minimum performance requirements
|
||||
* Full integration support for chosen hardware
|
||||
- Memory: 64-128 GB DDR5
|
||||
* Expandable configuration
|
||||
* High-speed memory modules
|
||||
* ECC support optional
|
||||
- Storage: 2-4 TB of NVMe SSD
|
||||
* PCIe 4.0 support
|
||||
* Configurable RAID options
|
||||
* Expansion capabilities
|
||||
- Integrated Mycelium Network
|
||||
* Full network stack
|
||||
* P2P capabilities
|
||||
* Decentralized computing support
|
||||
|
||||
Rewards Structure:
|
||||
- Proof of Capacity: 500-2000 INCA per month (depending on chosen GPU)
|
||||
- Proof of Utilization: 80% of INCA Revenue
|
||||
- Flexible earning potential based on hardware configuration
|
||||
|
||||
### 1 GPU AIBox Plan ($2-2500)
|
||||
Perfect for individual developers and researchers who need professional-grade AI computing power. This configuration provides enough processing power for smaller but smart models and AI agents.
|
||||
|
||||
Standard Configuration:
|
||||
- 1x AMD Radeon RX 7900 XTX
|
||||
* 24GB VRAM
|
||||
* 61.6 TFLOPS FP32 Performance
|
||||
* 960 GB/s Memory Bandwidth
|
||||
- 64-128 GB DDR5 Memory
|
||||
* Optimal for AI workloads
|
||||
* High-speed data processing
|
||||
* Multi-tasking capability
|
||||
- 2-4 TB of NVMe SSD
|
||||
* Ultra-fast storage access
|
||||
* Ample space for datasets
|
||||
* Quick model loading
|
||||
- Integrated Mycelium
|
||||
* Full network integration
|
||||
* Ready for distributed computing
|
||||
* P2P capabilities enabled
|
||||
|
||||
Rewards Structure:
|
||||
- Proof of Capacity: 1000 INCA per month
|
||||
- Proof of Utilization: 80% of INCA Revenue
|
||||
- Consistent earning potential
|
||||
|
||||
### 2 GPU AIBox Plan ($4-5000)
|
||||
Our most powerful configuration, designed for serious AI researchers and organizations. This setup supports large 48GB models, providing substantial computing power for advanced AI applications.
|
||||
|
||||
Advanced Configuration:
|
||||
- 2x AMD Radeon RX 7900 XTX
|
||||
* Combined 48GB VRAM
|
||||
* 123.2 TFLOPS total FP32 Performance
|
||||
* 1920 GB/s Total Memory Bandwidth
|
||||
- 64-128 GB DDR5 Memory
|
||||
* Maximum performance configuration
|
||||
* Support for multiple large models
|
||||
* Extensive multi-tasking capability
|
||||
- 2-4 TB of NVMe SSD
|
||||
* Enterprise-grade storage
|
||||
* RAID configuration options
|
||||
* Expandable capacity
|
||||
- Integrated Mycelium
|
||||
* Enhanced network capabilities
|
||||
* Full distributed computing support
|
||||
* Advanced P2P features
|
||||
|
||||
Rewards Structure:
|
||||
- Proof of Capacity: 2000 INCA per month
|
||||
- Proof of Utilization: 80% of INCA Revenue
|
||||
- Maximum earning potential
|
||||
|
||||
Each plan includes comprehensive support, setup assistance, and access to the full AIBox ecosystem. Configurations can be further customized within each plan's framework to meet specific requirements.
|
8
examples/grid1/getting-started/support.md
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examples/grid1/getting-started/support.md
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|
||||
---
|
||||
title: Support
|
||||
sidebar_position: 3
|
||||
---
|
||||
|
||||
Our support team is composed of technically proficient members who understand AI development needs.
|
||||
|
||||
Feel free to reach out the ThreeFold Support [here](https://threefoldfaq.crisp.help/en/) for more information.
|
24
examples/grid1/introduction.md
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examples/grid1/introduction.md
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|
||||
---
|
||||
title: Introducing AIBox
|
||||
sidebar_position: 1
|
||||
slug: /
|
||||
---
|
||||
|
||||
## AIBox: Powering Community-Driven AI
|
||||
|
||||
The AIBox is built for those who want to explore AI on their own terms. With 2 RX 7900 XTX GPUs and 48GB of memory, it enables running demanding AI models efficiently.
|
||||
|
||||
## Open AI Development
|
||||
|
||||
AIBox offers full control—no cloud restrictions, no unexpected costs. Train models, fine-tune AI systems, and experiment freely with PyTorch, TensorFlow, or low-level GPU programming.
|
||||
|
||||
## More Than Hardware: A Shared Network
|
||||
|
||||
AIBox isn’t just a tool—it’s part of a decentralized AI network. When idle, its GPU power can be shared via Mycelium, benefiting the wider community while generating value. Designed for efficiency, with water cooling and power monitoring, it’s a practical, community-powered step toward open AI development.
|
||||
|
||||
## Expanding the ThreeFold Grid
|
||||
|
||||
Each AIBox integrates into the ThreeFold Grid, a decentralized Internet infrastructure active in over 50 countries. By connecting your AIBox, you contribute to this global network, enhancing its capacity and reach. This integration not only supports your AI endeavors but also strengthens a community-driven Internet ecosystem.
|
||||
|
||||
More info about threefold see: https://www.threefold.io
|
||||
|
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examples/grid1/overview/_category_.json
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examples/grid1/overview/_category_.json
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|
||||
{
|
||||
"label": "AIBox Overview",
|
||||
"position": 2,
|
||||
"link": {
|
||||
"type": "generated-index",
|
||||
"description": "Overview of the AIBox"
|
||||
}
|
||||
}
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examples/grid1/overview/vision_mission.md
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examples/grid1/overview/vision_mission.md
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|
||||
---
|
||||
title: Vision & Mission
|
||||
sidebar_position: 2
|
||||
---
|
||||
|
||||
## AI Landscape
|
||||
|
||||
The AI landscape today is dominated by centralized cloud providers, creating barriers for innovation and increasing costs for developers. Our vision is different: we're building tools for a decentralized AI future where computing power isn't monopolized by large cloud providers.
|
||||
|
||||
## High-End AI Hardware
|
||||
|
||||
Our technical goal is straightforward: provide enterprise-grade AI hardware that's both powerful and profitable through resource sharing. We believe that AI development should be accessible to anyone with the technical skills to push boundaries.
|
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examples/grid1/overview/who_is_aibox_for.md
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examples/grid1/overview/who_is_aibox_for.md
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|
||||
---
|
||||
title: Who Is AIBox For?
|
||||
sidebar_position: 4
|
||||
---
|
||||
|
||||
The AIBox is for hackers and AI explorers who want a simple, accessible gateway into AI experimentation, while also offering advanced features for those ready to push the boundaries of what's possible.
|
||||
|
||||
### Developers & Hackers
|
||||
Technical capabilities:
|
||||
- Direct GPU programming through ROCm
|
||||
- Custom containerization support
|
||||
- Full Linux kernel access
|
||||
- P2P networking capabilities
|
||||
|
||||
### AI Researchers
|
||||
Research-focused features:
|
||||
- Support for popular ML frameworks (PyTorch, TensorFlow)
|
||||
- Large model training capability (up to 48GB VRAM)
|
||||
- Distributed training support
|
||||
- Dataset management tools
|
||||
|
||||
### Tech Enthusiasts
|
||||
Advanced features:
|
||||
- Water cooling management interface
|
||||
- Power consumption monitoring
|
||||
- Performance benchmarking tools
|
||||
- Resource allocation controls
|
18
examples/grid1/overview/why_decentralized_ai_matters.md
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examples/grid1/overview/why_decentralized_ai_matters.md
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|
||||
---
|
||||
title: Why Decentralized AI Matters
|
||||
sidebar_position: 3
|
||||
---
|
||||
|
||||
The AIBox gives you complete control over your data privacy with full hardware access while enabling unlimited experimentation without the restrictions of cloud platforms.
|
||||
|
||||
### Data Privacy & Control
|
||||
- Full root access to hardware
|
||||
- No data leaving your premises without explicit permission
|
||||
- Custom firewall rules and network configurations
|
||||
- Ability to air-gap when needed
|
||||
|
||||
### Unlimited Experimentation
|
||||
- Direct GPU access without virtualization overhead
|
||||
- Custom model training without cloud restrictions
|
||||
- Unrestricted model sizes and training durations
|
||||
- Freedom to modify system parameters
|
8
examples/grid1/technical-specs/_category_.json
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examples/grid1/technical-specs/_category_.json
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|
||||
{
|
||||
"label": "Technical Specs",
|
||||
"position": 3,
|
||||
"link": {
|
||||
"type": "generated-index",
|
||||
"description": "Technical aspects of the AIBox"
|
||||
}
|
||||
}
|
35
examples/grid1/technical-specs/features_capabilities.md
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35
examples/grid1/technical-specs/features_capabilities.md
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|
||||
---
|
||||
title: Features & Capabilities
|
||||
sidebar_position: 3
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
AIBox combines enterprise-grade hardware capabilities with flexible resource management, creating a powerful platform for AI development and deployment. Each feature is designed to meet the demanding needs of developers and researchers who require both raw computing power and precise control over their resources.
|
||||
|
||||
## VM Management (CloudSlices)
|
||||
|
||||
CloudSlices transforms your AIBox into a multi-tenant powerhouse, enabling you to run multiple isolated environments simultaneously. Unlike traditional virtualization, CloudSlices is optimized for AI workloads, ensuring minimal overhead and maximum GPU utilization.
|
||||
|
||||
Each slice operates as a fully isolated virtual machine with guaranteed resources. The AIBox can be sliced into up to 8 virtual machines.
|
||||
|
||||
The slicing system ensures resources are allocated efficiently while maintaining performance isolation between workloads. This means your critical training job won't be affected by other tasks running on the system.
|
||||
|
||||
## GPU Resource Management
|
||||
|
||||
Our GPU management system provides granular control while maintaining peak performance. Whether you're running a single large model or multiple smaller workloads, the system optimizes resource allocation automatically.
|
||||
|
||||
## Network Connectivity
|
||||
|
||||
The networking stack is built for both performance and security, integrating seamlessly with the Mycelium network, providing end-to-end encryption, and and Web gateways, allowing external connection to VM containers. The AI Box thus creates a robust foundation for distributed AI computing.
|
||||
|
||||
## Security Features
|
||||
|
||||
Security is implemented at every layer of the system without compromising performance:
|
||||
|
||||
System Security:
|
||||
- Hardware-level isolation
|
||||
- Secure boot chain
|
||||
- Network segmentation
|
||||
|
||||
Each feature has been carefully selected and implemented to provide both practical utility and enterprise-grade security, ensuring your AI workloads and data remain protected while maintaining full accessibility for authorized users.
|
37
examples/grid1/technical-specs/hardware_specifications.md
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37
examples/grid1/technical-specs/hardware_specifications.md
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|
||||
---
|
||||
title: Hardware Specifications
|
||||
sidebar_position: 1
|
||||
---
|
||||
|
||||
### GPU Options
|
||||
|
||||
At the heart of AIBox lies its GPU configuration, carefully selected for AI workloads. The AMD Radeon RX 7900 XTX provides an exceptional balance of performance, memory, and cost efficiency:
|
||||
|
||||
| Model | VRAM | FP32 Performance | Memory Bandwidth |
|
||||
|-------|------|------------------|------------------|
|
||||
| RX 7900 XTX | 24GB | 61.6 TFLOPS | 960 GB/s |
|
||||
| Dual Config | 48GB | 123.2 TFLOPS | 1920 GB/s |
|
||||
|
||||
The dual GPU configuration enables handling larger models and datasets that wouldn't fit in single-GPU memory, making it ideal for advanced AI research and development.
|
||||
|
||||
### Memory & Storage
|
||||
|
||||
AI workloads demand high-speed memory and storage. The AIBox configuration ensures your GPU computing power isn't bottlenecked by I/O limitations:
|
||||
|
||||
Memory Configuration:
|
||||
- RAM: 64GB/128GB DDR5-4800
|
||||
- Storage: 2x 2TB NVMe SSDs (PCIe 4.0)
|
||||
|
||||
This setup provides ample memory for large dataset preprocessing and fast storage access for model training and inference.
|
||||
|
||||
### Cooling System
|
||||
|
||||
Thermal management is crucial for sustained AI workloads. Our cooling solution focuses on maintaining consistent performance during extended operations:
|
||||
|
||||
This cooling system allows for sustained maximum performance without thermal throttling, even during extended training sessions.
|
||||
|
||||
### Power Supply
|
||||
|
||||
Reliable power delivery is essential for system stability and performance.
|
||||
|
||||
The AIBox power configuration ensures clean, stable power delivery under all operating conditions, with headroom for additional components or intense workloads.
|
29
examples/grid1/technical-specs/software_stack.md
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29
examples/grid1/technical-specs/software_stack.md
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|
||||
---
|
||||
title: Software Stack
|
||||
sidebar_position: 2
|
||||
---
|
||||
|
||||
### ThreeFold Zero-OS
|
||||
|
||||
Zero-OS forms the foundation of AIBox's software architecture. Unlike traditional operating systems, it's a minimalist, security-focused platform optimized specifically for AI workloads and distributed computing.
|
||||
|
||||
Key features:
|
||||
- Bare metal operating system with minimal overhead
|
||||
- Zero overhead virtualization
|
||||
- Secure boot process
|
||||
- Automated resource management
|
||||
|
||||
This specialized operating system ensures maximum performance and security while eliminating unnecessary services and potential vulnerabilities.
|
||||
|
||||
### Mycelium Network Integration
|
||||
|
||||
The Mycelium Network integration transforms your AIBox from a standalone system into a node in a powerful distributed computing network based on peer-to-peer and end-to-end encrypted communication always choosing the shortest path.
|
||||
|
||||
### Pre-installed AI Frameworks
|
||||
|
||||
Your AIBox comes ready for development with a comprehensive AI software stack:
|
||||
|
||||
- ROCm 5.7+ ML stack
|
||||
- PyTorch 2.1+ with GPU optimization
|
||||
- TensorFlow 2.14+
|
||||
- Pre-built container images
|
0
examples/parent/docs2/.collection
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0
examples/parent/docs2/.collection
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38
examples/parent/docs2/get-started/01_features.md
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38
examples/parent/docs2/get-started/01_features.md
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|
||||
---
|
||||
title: Features Mycelium Network
|
||||
sidebar_position: 1
|
||||
---
|
||||
|
||||
Mycelium is a locality-aware, end-to-end encrypted network designed for efficient and secure communication between nodes. Below are its key features:
|
||||
|
||||
## What Makes Mycelium Unique
|
||||
|
||||
1. **Locality Awareness**
|
||||
Mycelium identifies the shortest path between nodes, optimizing communication based on location.
|
||||
|
||||
2. **End-to-End Encryption**
|
||||
All traffic between nodes is encrypted, ensuring secure data transmission.
|
||||
|
||||
3. **Traffic Routing Over Friend Nodes**
|
||||
Traffic can be routed through nodes of trusted friends, maintaining location awareness.
|
||||
|
||||
4. **Automatic Rerouting**
|
||||
If a physical link fails, Mycelium automatically reroutes traffic to ensure uninterrupted connectivity.
|
||||
|
||||
5. **Your network Address Linked to Private Key**
|
||||
Each node is assigned an IPv6 network address that is cryptographically linked to its private key.
|
||||
|
||||
6. **Scalability**
|
||||
|
||||
Mycelium is designed to scale to a planetary level. The team has evaluated multiple overlay networks in the past and is focused on overcoming scalability challenges.
|
||||
|
||||
## Tech
|
||||
|
||||
1. **Flexible Deployment**
|
||||
Mycelium can be run without a TUN interface, allowing it to function solely as a reliable message bus.
|
||||
|
||||
2. **Reliable Message Bus**
|
||||
Mycelium includes a simple and reliable message bus built on top of its network layer.
|
||||
|
||||
1. **Multiple Communication Protocols**
|
||||
Mycelium supports various communication methods, including QUIC and TCP. The team is also developing hole-punching for QUIC, enabling direct peer-to-peer (P2P) traffic without intermediaries.
|
23
examples/parent/docs2/get-started/02_mycelium-app.md
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23
examples/parent/docs2/get-started/02_mycelium-app.md
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|
||||
---
|
||||
title: Download the App
|
||||
sidebar_position: 4
|
||||
---
|
||||
|
||||
The Mycelium app is available for Android, Windows, macOS and iOS.
|
||||
|
||||
For Linux, read the [Linux Installation](../experts/03_linux-installation.md) section.
|
||||
|
||||
## Download Links
|
||||
|
||||
You can download the Mycelium app with the following links:
|
||||
|
||||
- [iOS and macOS](https://apps.apple.com/app/id6504277565)
|
||||
- Download the app from the App Store
|
||||
- [Android](https://play.google.com/store/apps/details?id=tech.threefold.mycelium)
|
||||
- Download the app from the Google Play Store
|
||||
- [Windows](https://github.com/threefoldtech/myceliumflut/releases)
|
||||
- Go to the official Mycelium release page and download the latest `.exe`
|
||||
|
||||
## Upcoming Updates
|
||||
|
||||
- The user interface (UI) will be drastically improved in upcoming releases to better represent the available features.
|
48
examples/parent/docs2/get-started/03_use-the-app.md
Normal file
48
examples/parent/docs2/get-started/03_use-the-app.md
Normal file
@@ -0,0 +1,48 @@
|
||||
---
|
||||
title: Use the App
|
||||
sidebar_position: 5
|
||||
---
|
||||
|
||||
## Start Mycelium
|
||||
|
||||
To start Mycelium, simply open the app and click on `Start`.
|
||||
|
||||

|
||||
|
||||
> Note for Windows Users: The Mycelium app must be run as an administrator to function properly. Right-click on the application icon and select "Run as administrator" to ensure proper network connectivity.
|
||||
|
||||
## Stop or Restart Mycelium
|
||||
|
||||
To stop or restart Mycelium, click on the appropriate button.
|
||||
|
||||

|
||||
|
||||
## Add Peers
|
||||
|
||||
You can add different Mycelium peers in the `Peers` window.
|
||||
|
||||
Simply add peers and then either start or restart the app.
|
||||
|
||||

|
||||
|
||||
You can consult the [Mycelium hosted public nodes](../experts/04_additional-information.md) to find more peers.
|
||||
|
||||
For example, if you want to add the node with the IPv4 address `5.78.122.16` with the tcp port `9651`, simply add the following line then start or restart the app.
|
||||
|
||||
```
|
||||
tcp://5.78.122.16:9651
|
||||
```
|
||||
|
||||
## Mycelium Address
|
||||
|
||||
When you use the Mycelium app, you are assigned a unique Mycelium address.
|
||||
|
||||
To copy the Mycelium address, click on the button on the right of the address.
|
||||
|
||||

|
||||
|
||||
## Deploy on the Grid with Mycelium
|
||||
|
||||
Once you've installed Mycelium, you can deploy on the ThreeFold Grid and connect to your workload using Mycelium.
|
||||
|
||||
As a starter, you can explore the ThreeFold Grid and deploy apps on the [ThreeFold Dashboard](https://manual.grid.tf/documentation/dashboard/dashboard.html) using Mycelium to connect.
|
8
examples/parent/docs2/get-started/_category_.json
Normal file
8
examples/parent/docs2/get-started/_category_.json
Normal file
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"label": "Get Started",
|
||||
"position": 4,
|
||||
"link": {
|
||||
"type": "generated-index",
|
||||
"description": "Get started With Mycelium Network."
|
||||
}
|
||||
}
|
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Reference in New Issue
Block a user