forked from emre/www_projectmycelium_com
		
	docs: add developer docs for gpu and cloud
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								docs/mycelium_cloud_for_devs.md
									
									
									
									
									
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					# Mycelium Cloud for Developers
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					*Developer Guide to Decentralized Cloud Computing*
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					## Overview
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					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.
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					## Architecture
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					### Decentralized Infrastructure
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					Mycelium Cloud deploys on ThreeFold Grid's distributed network, providing:
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					- **Direct Node Access**: Each node gets a unique Mycelium IP address
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					- **Cross-Node Communication**: Services communicate across nodes using Mycelium networking
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					- **Secure Communication**: All traffic is encrypted through the Mycelium network
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					- **No Public IPs Required**: Services accessible via Mycelium IPs
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					### Network Flow
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					User Machine → Mycelium Network → Cluster Node → Service
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					### Kubernetes Management
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					- **K3s Support**: Full K3s cluster deployment and management
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					- **IPv6 Networking**: Mycelium peer-to-peer networking
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					- **High Availability**: Multi-master cluster support
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					---
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					## Core Features
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					### Mycelium Networking
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					Ultra-fast, decentralized networking inspired by nature. Mycelium Networking forms a resilient, adaptive mesh that routes around failures and optimizes for speed and security.
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					**Features:**
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					- End-to-end encrypted
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					- Nature-inspired
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					- Direct node communication
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					- Secure peer-to-peer connections
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					### Zero-Image Technology
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					Metadata-driven zero-images cut artifacts up to 100x, slashing bandwidth and deployment overhead.
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					**Benefits:**
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					- **Deterministic Deployments**: Cryptographic verification ensures every workload deploys exactly as intended—no tampering, no drift
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					- **Multi-Workload Compatibility with Secure Boot**: Run containers, VMs, and Linux workloads anywhere with stateless secure boot and continuous verification
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					- **Smart Contract-Based Deployment**: Cryptographically signed contracts orchestrate every workload with transparent, tamper-proof execution
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					### Quantum-Safe Storage (QSS)
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					Quantum-resistant encryption secures data beyond the app layer so ownership and control stay yours.
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					**Features:**
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					- **Self-Healing Storage System**: Autonomous recovery heals failures or corruption instantly, preserving integrity without human intervention
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					- **Multi-Protocol Data Access**: Serve the same data via IPFS, S3, WebDAV, HTTP, and native file systems for seamless integration
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					- **Geo-Aware Data Placement & Replication**: Define residency, redundancy, and distribution per workload while zone-to-zone replication hardens resilience
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					### Multi-Master Clusters
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					High-availability Kubernetes clusters with multiple control plane nodes. Automatic failover, leader election, and zero-downtime upgrades built-in.
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					**Capabilities:**
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					- **HA Control Plane**
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					- **Automatic Failover**
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					- **Zero-downtime Upgrades**
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					### Effortless Load Balancing & Scaling
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					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.
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					**Features:**
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					- **Auto-scaling**
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					- **Built-in load balancing**
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					- **High availability**
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					### Simple Web Gateway Access
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					Expose any service to the public web with a simple Kubernetes resource. No complex Ingress controllers. Domain and prefix-based routing is built-in.
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					**Benefits:**
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					- **Simple configuration**
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					- **Built-in routing**
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					- **No ingress controllers**
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					---
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					## Getting Started
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					### 1. Account Setup
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					- **Sign Up**: Create your account from signup page
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					- **Verify Email**: Check your email and verify your account
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					- **Add Funds**: Navigate to your dashboard and add credits to your account
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					- **Add SSH Key**: Navigate to Add SSH card and upload your public SSH key
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					### 2. Deploy Your First Cluster
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					- **Access Deploy**: Click "Deploy Cluster" from your dashboard
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					- **Configure VMs**: Define your virtual machines:
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					  - Choose CPU, memory, and storage requirements
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					  - Select the number of master and worker nodes
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					- **Select Nodes**: Choose ThreeFold Grid nodes for deployment
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					- **Review & Deploy**: Confirm your configuration and deploy
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					### 3. Access Your Cluster
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					#### Download Kubeconfig
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					- Go to dashboard → Clusters → Click download icon (⬇️)
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					- Set kubeconfig: `export KUBECONFIG=/path/to/config`
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					- Test: `kubectl get nodes`
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					#### SSH Access
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					- **Find Mycelium IPs**: Check cluster details page for node IPs
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					- **Download Mycelium Binary**:
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					  ```bash
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					  wget https://github.com/threefoldtech/mycelium/releases/latest/download/mycelium-private-x86_64-unknown-linux-musl.tar.gz
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					  tar -xzf mycelium-private-x86_64-unknown-linux-musl.tar.gz
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					  sudo chmod +x mycelium-private
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					  sudo mv mycelium-private /usr/local/bin/mycelium
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					  ```
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					- **Start Mycelium**:
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					  ```bash
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					  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
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					  ```
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					- **SSH to nodes**: `ssh root@<mycelium-ip>`
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					---
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					## Use Cases
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					### AI/ML Training
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					Run GPU-accelerated workloads for deep learning and data science on demand.
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					- **GPU Acceleration**
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					- **Scalable Compute**
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					- **Cost Optimization**
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					### Enterprise Kubernetes
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					Deploy production-grade clusters with full control and no vendor lock-in.
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					- **High Availability**
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					- **Security**
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					- **Compliance**
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					### Edge & IoT
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					Leverage global nodes for low-latency edge computing and IoT applications.
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					- **Low Latency**
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					- **Global Distribution**
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					- **Real-time Processing**
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					### DigitalMe Example
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					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:
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					- **Cryptpad**: Encrypted document collaboration
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					- **Elements**: Matrix chat (the Rust one)
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					- **Stallwart**: Mail/calendar/contacts
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					- **Gitea**: Git hosting and code collaboration
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					- **Nextcloud**: File storage and synchronization
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					- **LiveKit or Jitsi**: Video conferencing integrated with elements/nextcloud
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					- **SSO**: Single Sign-On (can this be gitea as backend - later)
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					This demonstrates the platform's capability to host complex, integrated applications with minimal configuration.
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					---
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					## Key Differentiators
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					### Sovereign by Design
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					Control jurisdiction, residency, and governance for every workload with transparent, verifiable operations.
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					### Secure by Default
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					Cryptographic verification, secure boot, and zero-image delivery protect the entire lifecycle automatically.
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					### Ready to Scale
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					Autonomous orchestration keeps the platform elastic, cost-efficient, and always available across the globe.
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					---
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					## Security Architecture
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					### Provable Sovereignty
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					Assign workloads to trusted zones, verify state with cryptographic proofs, and maintain full lineage for every byte.
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					### Autonomous Zero-Trust
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					Identity, policy, and attestation are enforced continuously—no manual keys, no hidden backdoors, no shared control.
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					### Planetary-Scale Resilience
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					Mesh-connected infrastructure routes around failure, keeping applications responsive even when regions go dark.
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					---
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					*Mycelium Cloud - Comprehensive platform for decentralized Kubernetes deployment.*
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					# Mycelium GPU for Developers
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					*The Energy Behind Intelligence*
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					## Overview
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					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.
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					## Core Concept
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					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.
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					### Key Principles
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					- **No Silos**: All GPU resources accessible through single interface
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					- **No Intermediaries**: Direct access to GPU resources
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					- **Raw, Verifiable Power**: Every GPU cycle cryptographically verified
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					- **Orchestrated Through Code**: GPU resources managed through APIs and smart contracts
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					---
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					## Use Cases
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					### AI/ML Training
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					Run GPU-accelerated workloads for deep learning and data science on demand.
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					**Features:**
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					- **GPU Acceleration**: High-performance computing for machine learning
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					- **Scalable Compute**: Scale training across multiple GPU resources
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					- **Cost Optimization**: Pay only for actual GPU usage
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					### Rendering & Visualization
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					Run high-performance graphics processing workloads.
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					**Applications:**
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					- **3D Rendering**: Distributed rendering for film, games, and architecture
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					- **Scientific Visualization**: Complex data visualization and analysis
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					- **Virtual Reality**: Real-time VR/AR processing
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					- **Digital Twins**: Real-time simulation and modeling
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					### General GPU Computing
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					High-performance computing for various computational workloads.
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					**Applications:**
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					- **Scientific Simulations**: Physics, chemistry, climate modeling
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					- **Financial Modeling**: Risk analysis and algorithmic trading
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					- **Cryptocurrency**: Mining and blockchain processing
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					- **Protein Folding**: Drug discovery and molecular modeling
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					---
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					## Integration with Mycelium Cloud
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					Mycelium GPU works seamlessly with Mycelium Cloud infrastructure:
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					- **Unified Networking**: GPU nodes accessible via Mycelium network
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					- **Shared Security**: Zero-trust security model applies to GPU operations
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					- **Storage Integration**: Access quantum-safe storage from GPU workloads
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					- **Kubernetes Support**: GPU workloads can be deployed as Kubernetes resources
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					### Deployment Example
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					```yaml
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					# GPU workload specification for Kubernetes
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					apiVersion: apps/v1
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					kind: Deployment
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					metadata:
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					  name: gpu-workload
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					spec:
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					  replicas: 1
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					  selector:
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					    matchLabels:
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					      app: gpu-compute
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					  template:
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					    metadata:
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					      labels:
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					        app: gpu-compute
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					    spec:
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					      containers:
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					      - name: gpu-compute
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					        image: tensorflow/tensorflow:latest-gpu
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					        resources:
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					          limits:
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					            nvidia.com/gpu: 1
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					        env:
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					        - name: MYCELIUM_GPU_REGION
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					          value: "auto"
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					```
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					---
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					## Getting Started
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					### Access GPU Resources
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					1. **Account Setup**: Create Mycelium account with GPU access
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					2. **Resource Request**: Use Mycelium GPU APIs to request GPU resources
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					3. **Workload Deployment**: Deploy your AI/ML or compute workload
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					4. **Monitor Usage**: Track GPU utilization and costs through dashboard
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 | 
					### Basic Workflow
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 | 
					```
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					Application → Mycelium GPU API → GPU Resource Allocation → Workload Execution
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					```
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					### Key Benefits
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					- **Deterministic Performance**: Predictable GPU allocation and performance
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					- **Global Distribution**: Access GPU resources worldwide
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					- **Transparent Costs**: Clear pricing without hidden fees
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			||||||
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					- **Sovereign Control**: Full control over GPU workloads and data
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 | 
					---
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 | 
					## Technical Architecture
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 | 
					### Distributed GPU Mesh
 | 
				
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 | 
					Mycelium GPU creates a peer-to-peer network of GPU resources accessible through the Mycelium Network.
 | 
				
			||||||
 | 
					
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			||||||
 | 
					**Components:**
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					- **GPU Nodes**: Physical GPU hardware distributed globally
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					- **Mycelium Network**: Encrypted peer-to-peer communication layer
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					- **Orchestration Layer**: API and smart contract-based resource management
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					- **Monitoring**: Real-time GPU utilization and health monitoring
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					### Performance Characteristics
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					- **Edge-to-Core Deployment**: Run workloads from edge devices to data centers
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					- **Adaptive Intelligence Layer**: Optimizes GPU resource allocation
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					- **Deterministic Performance**: Guaranteed resource availability and performance
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					- **Transparent Cost**: All GPU usage tracked and billed transparently
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					---
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					## Key Differentiators
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					### Unified Fabric
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					Transforms fragmented GPU resources into a single, unified acceleration fabric accessible through standard APIs.
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					### Sovereign Control
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					Complete control over GPU workloads with no vendor lock-in or geographical restrictions.
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 | 
				
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 | 
					### Code-Driven Orchestration
 | 
				
			||||||
 | 
					GPU resources managed through APIs and smart contracts, enabling automated and verifiable resource allocation.
 | 
				
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 | 
					
 | 
				
			||||||
 | 
					### Deterministic Performance
 | 
				
			||||||
 | 
					Guaranteed GPU allocation with consistent performance characteristics across all workloads.
 | 
				
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 | 
					
 | 
				
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 | 
					---
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 | 
				
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 | 
					## Cost Efficiency
 | 
				
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 | 
					
 | 
				
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 | 
					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
 | 
				
			||||||
 | 
					
 | 
				
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 | 
					---
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					*Mycelium GPU - Unifying distributed acceleration into a sovereign fabric.*
 | 
				
			||||||
		Reference in New Issue
	
	Block a user