docs: add developer docs for gpu and cloud

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# Mycelium Cloud for Developers
*Developer Guide to Decentralized Cloud Computing*
## Overview
Mycelium Cloud provides a comprehensive platform for deploying and managing Kubernetes clusters on the decentralized ThreeFold Grid infrastructure. This guide covers the core features and capabilities available to developers.
## Architecture
### Decentralized Infrastructure
Mycelium Cloud deploys on ThreeFold Grid's distributed network, providing:
- **Direct Node Access**: Each node gets a unique Mycelium IP address
- **Cross-Node Communication**: Services communicate across nodes using Mycelium networking
- **Secure Communication**: All traffic is encrypted through the Mycelium network
- **No Public IPs Required**: Services accessible via Mycelium IPs
### Network Flow
User Machine → Mycelium Network → Cluster Node → Service
### Kubernetes Management
- **K3s Support**: Full K3s cluster deployment and management
- **IPv6 Networking**: Mycelium peer-to-peer networking
- **High Availability**: Multi-master cluster support
---
## Core Features
### Mycelium Networking
Ultra-fast, decentralized networking inspired by nature. Mycelium Networking forms a resilient, adaptive mesh that routes around failures and optimizes for speed and security.
**Features:**
- End-to-end encrypted
- Nature-inspired
- Direct node communication
- Secure peer-to-peer connections
### Zero-Image Technology
Metadata-driven zero-images cut artifacts up to 100x, slashing bandwidth and deployment overhead.
**Benefits:**
- **Deterministic Deployments**: Cryptographic verification ensures every workload deploys exactly as intended—no tampering, no drift
- **Multi-Workload Compatibility with Secure Boot**: Run containers, VMs, and Linux workloads anywhere with stateless secure boot and continuous verification
- **Smart Contract-Based Deployment**: Cryptographically signed contracts orchestrate every workload with transparent, tamper-proof execution
### Quantum-Safe Storage (QSS)
Quantum-resistant encryption secures data beyond the app layer so ownership and control stay yours.
**Features:**
- **Self-Healing Storage System**: Autonomous recovery heals failures or corruption instantly, preserving integrity without human intervention
- **Multi-Protocol Data Access**: Serve the same data via IPFS, S3, WebDAV, HTTP, and native file systems for seamless integration
- **Geo-Aware Data Placement & Replication**: Define residency, redundancy, and distribution per workload while zone-to-zone replication hardens resilience
### Multi-Master Clusters
High-availability Kubernetes clusters with multiple control plane nodes. Automatic failover, leader election, and zero-downtime upgrades built-in.
**Capabilities:**
- **HA Control Plane**
- **Automatic Failover**
- **Zero-downtime Upgrades**
### Effortless Load Balancing & Scaling
Mycelium Cloud automatically balances traffic and scales your services up or down based on demand. Enjoy high availability and optimal performance with zero manual intervention.
**Features:**
- **Auto-scaling**
- **Built-in load balancing**
- **High availability**
### Simple Web Gateway Access
Expose any service to the public web with a simple Kubernetes resource. No complex Ingress controllers. Domain and prefix-based routing is built-in.
**Benefits:**
- **Simple configuration**
- **Built-in routing**
- **No ingress controllers**
---
## Getting Started
### 1. Account Setup
- **Sign Up**: Create your account from signup page
- **Verify Email**: Check your email and verify your account
- **Add Funds**: Navigate to your dashboard and add credits to your account
- **Add SSH Key**: Navigate to Add SSH card and upload your public SSH key
### 2. Deploy Your First Cluster
- **Access Deploy**: Click "Deploy Cluster" from your dashboard
- **Configure VMs**: Define your virtual machines:
- Choose CPU, memory, and storage requirements
- Select the number of master and worker nodes
- **Select Nodes**: Choose ThreeFold Grid nodes for deployment
- **Review & Deploy**: Confirm your configuration and deploy
### 3. Access Your Cluster
#### Download Kubeconfig
- Go to dashboard → Clusters → Click download icon (⬇️)
- Set kubeconfig: `export KUBECONFIG=/path/to/config`
- Test: `kubectl get nodes`
#### SSH Access
- **Find Mycelium IPs**: Check cluster details page for node IPs
- **Download Mycelium Binary**:
```bash
wget https://github.com/threefoldtech/mycelium/releases/latest/download/mycelium-private-x86_64-unknown-linux-musl.tar.gz
tar -xzf mycelium-private-x86_64-unknown-linux-musl.tar.gz
sudo chmod +x mycelium-private
sudo mv mycelium-private /usr/local/bin/mycelium
```
- **Start Mycelium**:
```bash
sudo mycelium --peers tcp://188.40.132.242:9651 tcp://136.243.47.186:9651 tcp://185.69.166.7:9651 tcp://185.69.166.8:9651 tcp://65.21.231.58:9651 tcp://65.109.18.113:9651 tcp://209.159.146.190:9651 tcp://5.78.122.16:9651 tcp://5.223.43.251:9651 tcp://142.93.217.194:9651
```
- **SSH to nodes**: `ssh root@<mycelium-ip>`
---
## Use Cases
### AI/ML Training
Run GPU-accelerated workloads for deep learning and data science on demand.
- **GPU Acceleration**
- **Scalable Compute**
- **Cost Optimization**
### Enterprise Kubernetes
Deploy production-grade clusters with full control and no vendor lock-in.
- **High Availability**
- **Security**
- **Compliance**
### Edge & IoT
Leverage global nodes for low-latency edge computing and IoT applications.
- **Low Latency**
- **Global Distribution**
- **Real-time Processing**
### DigitalMe Example
Example of what can be done with Mycelium Cloud. With a very simple execution, the following can be deployed on k8s cluster and served on Mycelium IPs:
- **Cryptpad**: Encrypted document collaboration
- **Elements**: Matrix chat (the Rust one)
- **Stallwart**: Mail/calendar/contacts
- **Gitea**: Git hosting and code collaboration
- **Nextcloud**: File storage and synchronization
- **LiveKit or Jitsi**: Video conferencing integrated with elements/nextcloud
- **SSO**: Single Sign-On (can this be gitea as backend - later)
This demonstrates the platform's capability to host complex, integrated applications with minimal configuration.
---
## Key Differentiators
### Sovereign by Design
Control jurisdiction, residency, and governance for every workload with transparent, verifiable operations.
### Secure by Default
Cryptographic verification, secure boot, and zero-image delivery protect the entire lifecycle automatically.
### Ready to Scale
Autonomous orchestration keeps the platform elastic, cost-efficient, and always available across the globe.
---
## Security Architecture
### Provable Sovereignty
Assign workloads to trusted zones, verify state with cryptographic proofs, and maintain full lineage for every byte.
### Autonomous Zero-Trust
Identity, policy, and attestation are enforced continuously—no manual keys, no hidden backdoors, no shared control.
### Planetary-Scale Resilience
Mesh-connected infrastructure routes around failure, keeping applications responsive even when regions go dark.
---
*Mycelium Cloud - Comprehensive platform for decentralized Kubernetes deployment.*

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# Mycelium GPU for Developers
*The Energy Behind Intelligence*
## Overview
Mycelium GPU provides unified access to distributed GPU acceleration across the ThreeFold Grid. It transforms fragmented GPU resources into a single sovereign fabric for running AI, ML, and rendering workloads.
## Core Concept
Mycelium GPU unifies distributed acceleration into a single sovereign fabric — turning fragmented hardware into one adaptive intelligence layer. Run AI, ML, and rendering workloads anywhere, from edge to core, with deterministic performance and transparent cost.
### Key Principles
- **No Silos**: All GPU resources accessible through single interface
- **No Intermediaries**: Direct access to GPU resources
- **Raw, Verifiable Power**: Every GPU cycle cryptographically verified
- **Orchestrated Through Code**: GPU resources managed through APIs and smart contracts
---
## Use Cases
### AI/ML Training
Run GPU-accelerated workloads for deep learning and data science on demand.
**Features:**
- **GPU Acceleration**: High-performance computing for machine learning
- **Scalable Compute**: Scale training across multiple GPU resources
- **Cost Optimization**: Pay only for actual GPU usage
### Rendering & Visualization
Run high-performance graphics processing workloads.
**Applications:**
- **3D Rendering**: Distributed rendering for film, games, and architecture
- **Scientific Visualization**: Complex data visualization and analysis
- **Virtual Reality**: Real-time VR/AR processing
- **Digital Twins**: Real-time simulation and modeling
### General GPU Computing
High-performance computing for various computational workloads.
**Applications:**
- **Scientific Simulations**: Physics, chemistry, climate modeling
- **Financial Modeling**: Risk analysis and algorithmic trading
- **Cryptocurrency**: Mining and blockchain processing
- **Protein Folding**: Drug discovery and molecular modeling
---
## Integration with Mycelium Cloud
Mycelium GPU works seamlessly with Mycelium Cloud infrastructure:
- **Unified Networking**: GPU nodes accessible via Mycelium network
- **Shared Security**: Zero-trust security model applies to GPU operations
- **Storage Integration**: Access quantum-safe storage from GPU workloads
- **Kubernetes Support**: GPU workloads can be deployed as Kubernetes resources
### Deployment Example
```yaml
# GPU workload specification for Kubernetes
apiVersion: apps/v1
kind: Deployment
metadata:
name: gpu-workload
spec:
replicas: 1
selector:
matchLabels:
app: gpu-compute
template:
metadata:
labels:
app: gpu-compute
spec:
containers:
- name: gpu-compute
image: tensorflow/tensorflow:latest-gpu
resources:
limits:
nvidia.com/gpu: 1
env:
- name: MYCELIUM_GPU_REGION
value: "auto"
```
---
## Getting Started
### Access GPU Resources
1. **Account Setup**: Create Mycelium account with GPU access
2. **Resource Request**: Use Mycelium GPU APIs to request GPU resources
3. **Workload Deployment**: Deploy your AI/ML or compute workload
4. **Monitor Usage**: Track GPU utilization and costs through dashboard
### Basic Workflow
```
Application → Mycelium GPU API → GPU Resource Allocation → Workload Execution
```
### Key Benefits
- **Deterministic Performance**: Predictable GPU allocation and performance
- **Global Distribution**: Access GPU resources worldwide
- **Transparent Costs**: Clear pricing without hidden fees
- **Sovereign Control**: Full control over GPU workloads and data
---
## Technical Architecture
### Distributed GPU Mesh
Mycelium GPU creates a peer-to-peer network of GPU resources accessible through the Mycelium Network.
**Components:**
- **GPU Nodes**: Physical GPU hardware distributed globally
- **Mycelium Network**: Encrypted peer-to-peer communication layer
- **Orchestration Layer**: API and smart contract-based resource management
- **Monitoring**: Real-time GPU utilization and health monitoring
### Performance Characteristics
- **Edge-to-Core Deployment**: Run workloads from edge devices to data centers
- **Adaptive Intelligence Layer**: Optimizes GPU resource allocation
- **Deterministic Performance**: Guaranteed resource availability and performance
- **Transparent Cost**: All GPU usage tracked and billed transparently
---
## Key Differentiators
### Unified Fabric
Transforms fragmented GPU resources into a single, unified acceleration fabric accessible through standard APIs.
### Sovereign Control
Complete control over GPU workloads with no vendor lock-in or geographical restrictions.
### Code-Driven Orchestration
GPU resources managed through APIs and smart contracts, enabling automated and verifiable resource allocation.
### Deterministic Performance
Guaranteed GPU allocation with consistent performance characteristics across all workloads.
---
## Cost Efficiency
Mycelium GPU provides cost-effective access to GPU resources through:
- **Transparent Pricing**: No hidden fees or surprise charges
- **Pay-per-Usage**: Pay only for actual GPU consumption
- **Global Optimization**: Access GPUs where they're most cost-effective
- **No Vendor Lock-in**: Avoid premium pricing from single providers
---
*Mycelium GPU - Unifying distributed acceleration into a sovereign fabric.*