docs: add developer docs for compute and storage
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mik-tf
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docs/mycelium_compute_for_devs.md
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docs/mycelium_compute_for_devs.md
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# Mycelium Compute for Developers
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*Deterministic Compute Fabric*
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## Overview
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Mycelium Compute provides a sovereign, deterministic compute fabric that enables developers to launch workloads with cryptographic certainty and autonomous operations. Built on decentralized infrastructure, it offers transparent, verifiable computing environments with zero manual intervention.
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## Core Concept
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Deterministic compute fabric ensures that every workload deploys exactly as intended with cryptographic verification, eliminating tampering and drift while maintaining full operational autonomy.
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---
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## Core Features
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### Deterministic Deployments
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Cryptographic verification ensures every workload deploys exactly as intended—no tampering, no drift.
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**Benefits:**
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- **Cryptographic Verification**: Every workload component verified before deployment
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- **No Configuration Drift**: Environments remain exactly as specified
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- **Tamper Detection**: Any unauthorized changes immediately identified
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- **Complete Reproducibility**: Exact same environment every deployment
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### Self-Managing & Stateless Infrastructure
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Fully autonomous infrastructure that scales globally without manual intervention.
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**Capabilities:**
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- **Autonomous Operations**: No manual intervention required for scaling
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- **Global Scaling**: Infrastructure scales across the ThreeFold Grid
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- **Stateless Design**: No persistent dependencies on specific hardware
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- **Self-Healing**: Automatic recovery from failures and issues
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### Smart Contract-Based Deployment
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Cryptographically signed contracts orchestrate every workload with transparent, tamper-proof execution.
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**Benefits:**
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- **Cryptographic Signatures**: Every deployment contract cryptographically signed
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- **Transparent Execution**: All operations verifiable and auditable
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- **Tamper-Proof**: Immutable deployment contracts
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- **Automated Orchestration**: Smart contracts manage workload lifecycle
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### Multi-Workload Compatibility with Secure Boot
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Run containers, VMs, and Linux workloads anywhere with stateless secure boot and continuous verification.
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**Capabilities:**
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- **Container Support**: Full Kubernetes and Docker compatibility
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- **VM Workloads**: Support for virtual machine deployments
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- **Linux Workloads**: Native Linux application support
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- **Secure Boot**: Hardware-level verification and security
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- **Continuous Verification**: Ongoing integrity checking
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---
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## Zero-Image Integration
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Mycelium Compute integrates with Mycelium Storage's Zero-Image technology for ultra-efficient deployments:
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**Benefits:**
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- **Metadata-Only**: Deployments use metadata instead of full artifacts
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- **Instant Startup**: Rapid workload initialization
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- **Bandwidth Optimization**: Minimal transfer requirements
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- **Global Distribution**: Deploy anywhere on ThreeFold Grid
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---
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## Technical Architecture
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### Deterministic Computing
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Mycelium Compute ensures every computational step is predictable and verifiable:
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- **Cryptographic Verification**: All computations verified before execution
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- **State Determinism**: Same inputs always produce same outputs
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- **Tamper Resistance**: Any modification detected immediately
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- **Audit Trail**: Complete verification history for all operations
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### Stateless Infrastructure
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- **No Persistent State**: Workloads don't depend on specific hardware
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- **Global Distribution**: Compute resources available worldwide
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- **Auto-Scaling**: Automatic resource allocation and scaling
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- **Fault Tolerance**: Automatic failover and recovery
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### Zero-Image System
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- **Metadata-Only**: Images represented as metadata, not full artifacts
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- **Instant Deployment**: Rapid workload startup using metadata
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- **Efficient Storage**: Minimal storage requirements for images
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- **Bandwidth Optimization**: Significant reduction in transfer overhead
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---
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## Developer Experience
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### Simple Deployment
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```yaml
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# Basic compute workload
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apiVersion: v1
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kind: Deployment
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metadata:
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name: deterministic-app
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spec:
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replicas: 3
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selector:
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matchLabels:
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app: deterministic-app
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template:
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metadata:
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labels:
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app: deterministic-app
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spec:
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containers:
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- name: app
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image: ubuntu:latest
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command: ["echo", "Deterministic deployment"]
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```
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### Zero-Image Deployment
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```yaml
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# Using zero-image technology
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apiVersion: v1
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kind: Pod
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metadata:
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name: zero-image-pod
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spec:
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containers:
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- name: app
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image: "zero-image://ubuntu-latest" # Metadata-only image
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command: ["echo", "Running on zero-image"]
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```
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### Smart Contract Deployment
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```yaml
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# Smart contract orchestrated deployment
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: deployment-contract
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data:
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contract: |
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smart_contract:
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signature: "cryptographically_signed_deployment"
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workload_spec:
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image: "ubuntu-latest"
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replicas: 3
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verification_hash: "sha256_hash_of_workload"
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```
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---
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## Use Cases
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### AI/ML Training
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- **Deterministic Training**: Reproducible machine learning experiments
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- **Secure Model Deployment**: Cryptographically verified model artifacts
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- **Distributed Training**: Autonomous scaling across compute nodes
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- **Zero-Drift Environments**: Consistent training environments
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### Application Hosting
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- **Transparent Deployments**: Verifiable application deployments
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- **Auto-Scaling**: Automatic resource allocation based on demand
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- **Global Distribution**: Deploy applications worldwide instantly
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- **Secure Execution**: Cryptographically verified runtime environments
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### Data Processing
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- **Deterministic Pipelines**: Reproducible data processing workflows
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- **Secure Computation**: Verified data transformation operations
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- **Auto-Scaling**: Dynamic resource allocation for processing workloads
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- **Global Processing**: Distribute workloads across ThreeFold Grid
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### Scientific Computing
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- **Reproducible Research**: Verifiable computational experiments
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- **Secure Workloads**: Cryptographically verified scientific applications
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- **Auto-Scaling**: Dynamic resource allocation for compute-intensive tasks
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- **Global Collaboration**: Share computational resources worldwide
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---
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## Compute-Specific Use Cases
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### Deterministic Training Environments
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- **Reproducible ML Experiments**: Identical training conditions every time
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- **Scientific Computing**: Verifiable computational research
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- **Financial Modeling**: Auditable risk calculations
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- **IoT Processing**: Consistent edge computing environments
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### Multi-Platform Application Hosting
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- **Container Orchestration**: Kubernetes workloads with deterministic deployment
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- **VM Management**: Virtual machines with secure boot verification
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- **Linux Workloads**: Native applications with cryptographic assurance
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- **Hybrid Deployments**: Mix containers, VMs, and bare metal
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### Auto-Scaling Workloads
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- **Demand-Based Scaling**: Automatic resource allocation based on load
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- **Global Distribution**: Deploy compute across ThreeFold Grid
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- **Failure Recovery**: Automatic failover and service restoration
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- **Cost Optimization**: Scale resources efficiently
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---
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## Key Differentiators
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### Deterministic Guarantee
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Every computation is cryptographically verified and guaranteed to produce consistent results.
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### Autonomous Operations
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Infrastructure manages itself without human intervention, scaling and healing automatically.
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### Smart Contract Security
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Workload orchestration through cryptographically signed, tamper-proof contracts.
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### Multi-Platform Support
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Run any workload type - containers, VMs, or native Linux applications.
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### Secure Boot Verification
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Hardware-level security verification for all deployments.
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