# Phase 11: Synor Compute L2 - Full-Stack Compute Platform > **Mission**: Build a decentralized compute platform capable of AI/ML training, inference, OS hosting, and general-purpose high-performance computing. --- ## Executive Summary Synor Compute L2 extends beyond the current WASM-only Synor VM to provide: - **GPU Compute**: AI/ML training and inference with CUDA/ROCm support - **Container Orchestration**: Docker-compatible workloads with Kubernetes-style scheduling - **Persistent VMs**: Long-running virtual machines for OS hosting - **Serverless Functions**: Short-lived compute for API backends and event processing - **Edge Compute**: Low-latency compute at network edge nodes --- ## Architecture Overview ``` ┌─────────────────────────────────────────────────────────────────────────────┐ │ SYNOR COMPUTE L2 │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ APPLICATION LAYER │ │ │ ├──────────────┬──────────────┬──────────────┬──────────────┬────────────┤ │ │ │ AI/ML │ Serverless │ Containers │ Persistent │ Edge │ │ │ │ Training │ Functions │ (Docker) │ VMs (Linux) │ Compute │ │ │ └──────────────┴──────────────┴──────────────┴──────────────┴────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ ORCHESTRATION LAYER │ │ │ ├──────────────┬──────────────┬──────────────┬──────────────┬────────────┤ │ │ │ Job │ Resource │ Network │ Storage │ Health │ │ │ │ Scheduler │ Manager │ Fabric │ Orchestrator│ Monitor │ │ │ └──────────────┴──────────────┴──────────────┴──────────────┴────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ COMPUTE RUNTIME LAYER │ │ │ ├──────────────┬──────────────┬──────────────┬──────────────┬────────────┤ │ │ │ GPU │ Container │ MicroVM │ WASM │ Native │ │ │ │ Runtime │ Runtime │ Runtime │ Runtime │ Runtime │ │ │ │ (CUDA/ROCm)│ (containerd)│ (Firecracker)│ (Wasmtime) │ (gVisor) │ │ │ └──────────────┴──────────────┴──────────────┴──────────────┴────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ INFRASTRUCTURE LAYER │ │ │ ├──────────────┬──────────────┬──────────────┬──────────────┬────────────┤ │ │ │ Node │ Network │ Distributed │ Consensus │ Billing │ │ │ │ Registry │ Overlay │ Storage │ (PoS+PoW) │ Metering │ │ │ └──────────────┴──────────────┴──────────────┴──────────────┴────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ SYNOR L1 BLOCKCHAIN (GHOSTDAG + DAG-RIDER) │ │ │ └─────────────────────────────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ ``` --- ## Milestone 1: GPU Compute Foundation (AI/ML Training & Inference) ### 1.1 GPU Node Registration ```rust // synor-compute/src/gpu/node.rs /// GPU node capabilities pub struct GpuNode { /// Unique node ID pub node_id: NodeId, /// GPU specifications pub gpus: Vec, /// Total VRAM available (bytes) pub total_vram: u64, /// Available VRAM (bytes) pub available_vram: u64, /// CUDA compute capability (e.g., 8.6 for RTX 3090) pub cuda_capability: Option<(u8, u8)>, /// ROCm version (for AMD) pub rocm_version: Option, /// Network bandwidth (Gbps) pub bandwidth_gbps: u32, /// Geographic region pub region: Region, /// Stake amount (for PoS validation) pub stake: u64, } pub struct GpuSpec { pub model: String, // "NVIDIA RTX 4090" pub vram_gb: u32, // 24 pub tensor_cores: u32, // 512 pub cuda_cores: u32, // 16384 pub memory_bandwidth: u32, // 1008 GB/s pub fp32_tflops: f32, // 82.6 pub fp16_tflops: f32, // 165.2 pub int8_tops: f32, // 330.4 } ``` ### 1.2 AI/ML Job Specification ```rust // synor-compute/src/ai/job.rs /// AI/ML training job specification pub struct TrainingJob { /// Job ID pub job_id: JobId, /// Owner address pub owner: Address, /// Framework (PyTorch, TensorFlow, JAX) pub framework: MlFramework, /// Model specification pub model: ModelSpec, /// Dataset reference (Synor Storage CID) pub dataset_cid: Cid, /// Training configuration pub config: TrainingConfig, /// Resource requirements pub resources: GpuResources, /// Maximum budget (SYNOR tokens) pub max_budget: u64, /// Checkpoint interval (steps) pub checkpoint_interval: u64, } pub struct GpuResources { pub min_gpus: u32, pub max_gpus: u32, pub min_vram_per_gpu: u64, pub cuda_capability_min: Option<(u8, u8)>, pub distributed: bool, // Multi-node training pub priority: JobPriority, } pub enum MlFramework { PyTorch { version: String }, TensorFlow { version: String }, JAX { version: String }, ONNX, Custom { image: String }, } pub struct TrainingConfig { pub epochs: u32, pub batch_size: u32, pub learning_rate: f32, pub optimizer: String, pub mixed_precision: bool, pub gradient_accumulation: u32, pub distributed_strategy: DistributedStrategy, } pub enum DistributedStrategy { DataParallel, ModelParallel, PipelineParallel, ZeRO { stage: u8 }, // DeepSpeed ZeRO stages 1-3 FSDP, // Fully Sharded Data Parallel } ``` ### 1.3 Inference Service ```rust // synor-compute/src/ai/inference.rs /// Inference endpoint specification pub struct InferenceEndpoint { /// Endpoint ID pub endpoint_id: EndpointId, /// Model reference (Synor Storage CID) pub model_cid: Cid, /// Model format pub format: ModelFormat, /// Scaling configuration pub scaling: AutoscaleConfig, /// GPU requirements per replica pub gpu_per_replica: GpuResources, /// Request timeout pub timeout_ms: u32, /// Max batch size for batching inference pub max_batch_size: u32, /// Batching timeout pub batch_timeout_ms: u32, } pub enum ModelFormat { PyTorch, ONNX, TensorRT, Triton, vLLM, // For LLM serving TGI, // Text Generation Inference Custom, } pub struct AutoscaleConfig { pub min_replicas: u32, pub max_replicas: u32, pub target_gpu_utilization: f32, pub scale_up_threshold: f32, pub scale_down_threshold: f32, pub cooldown_seconds: u32, } ``` ### 1.4 Pricing Model for GPU Compute | Resource | Unit | Price (SYNOR/unit) | |----------|------|-------------------| | GPU (RTX 4090 equivalent) | hour | 0.50 | | GPU (A100 80GB equivalent) | hour | 2.00 | | GPU (H100 equivalent) | hour | 4.00 | | VRAM | GB/hour | 0.01 | | Network egress | GB | 0.05 | | Storage (hot, NVMe) | GB/month | 0.10 | | Inference requests | 1M tokens | 0.10 | --- ## Milestone 2: Container Orchestration (Docker/Kubernetes-Compatible) ### 2.1 Container Runtime ```rust // synor-compute/src/container/runtime.rs /// Container specification (OCI-compatible) pub struct ContainerSpec { /// Image reference pub image: ImageRef, /// Resource limits pub resources: ContainerResources, /// Environment variables pub env: HashMap, /// Volume mounts pub volumes: Vec, /// Network configuration pub network: NetworkConfig, /// Security context pub security: SecurityContext, /// Health check pub health_check: Option, } pub struct ContainerResources { pub cpu_cores: f32, // 0.5, 1.0, 2.0, etc. pub memory_mb: u64, pub gpu: Option, pub ephemeral_storage_gb: u32, pub network_bandwidth_mbps: u32, } pub struct GpuAllocation { pub count: u32, pub vram_mb: u64, pub shared: bool, // Allow GPU sharing via MPS/MIG } ``` ### 2.2 Service Mesh & Networking ```rust // synor-compute/src/network/mesh.rs /// Service definition for container orchestration pub struct Service { pub service_id: ServiceId, pub name: String, pub containers: Vec, pub replicas: ReplicaConfig, pub load_balancer: LoadBalancerConfig, pub service_mesh: ServiceMeshConfig, } pub struct ServiceMeshConfig { pub mtls_enabled: bool, pub traffic_policy: TrafficPolicy, pub circuit_breaker: CircuitBreakerConfig, pub retry_policy: RetryPolicy, pub rate_limit: Option, } pub struct LoadBalancerConfig { pub algorithm: LoadBalancerAlgorithm, pub health_check: HealthCheck, pub sticky_sessions: bool, pub ssl_termination: SslTermination, } pub enum LoadBalancerAlgorithm { RoundRobin, LeastConnections, WeightedRoundRobin { weights: Vec }, IPHash, Random, } ``` ### 2.3 Container Pricing | Resource | Unit | Price (SYNOR/unit) | |----------|------|-------------------| | CPU | core/hour | 0.02 | | Memory | GB/hour | 0.005 | | Ephemeral storage | GB/hour | 0.001 | | Network ingress | GB | FREE | | Network egress | GB | 0.05 | | Load balancer | hour | 0.01 | | Static IP | month | 2.00 | --- ## Milestone 3: Persistent Virtual Machines (OS Hosting) ### 3.1 MicroVM Architecture (Firecracker-based) ```rust // synor-compute/src/vm/microvm.rs /// Virtual machine specification pub struct VmSpec { /// VM ID pub vm_id: VmId, /// Owner address pub owner: Address, /// VM size pub size: VmSize, /// Boot image pub image: VmImage, /// Persistent volumes pub volumes: Vec, /// Network configuration pub network: VmNetworkConfig, /// SSH keys for access pub ssh_keys: Vec, /// Cloud-init user data pub user_data: Option, } pub struct VmSize { pub vcpus: u32, pub memory_gb: u32, pub gpu: Option, pub network_bandwidth_gbps: u32, } pub struct GpuPassthrough { pub count: u32, pub model: GpuModel, pub vram_gb: u32, } pub enum VmImage { /// Pre-built images Marketplace { image_id: String, version: String }, /// Custom image from Synor Storage Custom { cid: Cid, format: ImageFormat }, /// Standard OS images Ubuntu { version: String }, Debian { version: String }, AlmaLinux { version: String }, Windows { version: String, license: WindowsLicense }, } pub struct PersistentVolume { pub volume_id: VolumeId, pub size_gb: u32, pub volume_type: VolumeType, pub mount_path: String, pub encrypted: bool, } pub enum VolumeType { /// High-performance NVMe SSD NvmeSsd { iops: u32, throughput_mbps: u32 }, /// Standard SSD Ssd, /// HDD for archival Hdd, /// Distributed storage (Synor Storage L2) Distributed { replication: u8 }, } ``` ### 3.2 VM Lifecycle Management ```rust // synor-compute/src/vm/lifecycle.rs pub enum VmState { Pending, Provisioning, Running, Stopping, Stopped, Hibernating, Hibernated, Migrating, Failed, Terminated, } pub struct VmManager { /// Active VMs vms: HashMap, /// Node assignments node_assignments: HashMap, /// Live migration coordinator migration_coordinator: MigrationCoordinator, } impl VmManager { /// Start a new VM pub async fn create(&self, spec: VmSpec) -> Result; /// Stop a VM (preserves state) pub async fn stop(&self, vm_id: &VmId) -> Result<(), VmError>; /// Start a stopped VM pub async fn start(&self, vm_id: &VmId) -> Result<(), VmError>; /// Hibernate VM to storage (saves memory state) pub async fn hibernate(&self, vm_id: &VmId) -> Result<(), VmError>; /// Live migrate VM to another node pub async fn migrate(&self, vm_id: &VmId, target_node: NodeId) -> Result<(), VmError>; /// Resize VM (requires restart) pub async fn resize(&self, vm_id: &VmId, new_size: VmSize) -> Result<(), VmError>; /// Snapshot VM state pub async fn snapshot(&self, vm_id: &VmId) -> Result; /// Terminate and delete VM pub async fn terminate(&self, vm_id: &VmId) -> Result<(), VmError>; } ``` ### 3.3 VM Pricing | VM Type | vCPUs | Memory | Storage | GPU | Price (SYNOR/month) | |---------|-------|--------|---------|-----|---------------------| | micro | 1 | 1 GB | 20 GB SSD | - | 5 | | small | 2 | 4 GB | 50 GB SSD | - | 15 | | medium | 4 | 8 GB | 100 GB SSD | - | 30 | | large | 8 | 32 GB | 200 GB SSD | - | 80 | | xlarge | 16 | 64 GB | 500 GB NVMe | - | 200 | | gpu-small | 8 | 32 GB | 200 GB NVMe | 1x RTX 4090 | 400 | | gpu-medium | 16 | 64 GB | 500 GB NVMe | 2x RTX 4090 | 750 | | gpu-large | 32 | 128 GB | 1 TB NVMe | 4x A100 80GB | 2500 | | gpu-xlarge | 64 | 256 GB | 2 TB NVMe | 8x H100 | 8000 | --- ## Milestone 4: Serverless Functions (FaaS) ### 4.1 Function Specification ```rust // synor-compute/src/serverless/function.rs /// Serverless function definition pub struct Function { pub function_id: FunctionId, pub owner: Address, pub name: String, pub runtime: FunctionRuntime, pub handler: String, pub code: FunctionCode, pub resources: FunctionResources, pub triggers: Vec, pub environment: HashMap, pub timeout_ms: u32, pub concurrency: ConcurrencyConfig, } pub enum FunctionRuntime { Node20, Node22, Python311, Python312, Rust, Go122, Java21, Dotnet8, Ruby33, Custom { image: String }, } pub struct FunctionCode { /// Source code CID in Synor Storage pub cid: Cid, /// Entry point file pub entry_point: String, /// Dependencies (package.json, requirements.txt, etc.) pub dependencies: Option, } pub struct FunctionResources { pub memory_mb: u32, // 128, 256, 512, 1024, 2048, 4096, 8192 pub cpu_allocation: f32, // Proportional to memory pub ephemeral_storage_mb: u32, pub gpu: Option, } pub enum FunctionTrigger { /// HTTP endpoint Http { path: String, methods: Vec }, /// Scheduled execution (cron) Schedule { cron: String }, /// Event from message queue Queue { queue_name: String }, /// Storage events Storage { bucket: String, events: Vec }, /// Blockchain events Blockchain { contract: Address, events: Vec }, /// Webhook Webhook { url: String }, } ``` ### 4.2 Cold Start Optimization ```rust // synor-compute/src/serverless/warmup.rs /// Function warmup strategies pub struct WarmupConfig { /// Minimum warm instances pub min_instances: u32, /// Provisioned concurrency pub provisioned_concurrency: u32, /// Warmup schedule pub warmup_schedule: Option, /// Snapshot-based cold start (SnapStart) pub snapstart_enabled: bool, } pub struct ColdStartOptimizer { /// Pre-warmed function pools pools: HashMap, /// Snapshot cache snapshots: LruCache, /// Prediction model for scaling predictor: ScalingPredictor, } impl ColdStartOptimizer { /// Get a warm instance or create one pub async fn get_instance(&self, function: &Function) -> Result { // Try snapshot restore first (< 100ms) if let Some(snapshot) = self.snapshots.get(&function.function_id) { return self.restore_from_snapshot(snapshot).await; } // Try warm pool (< 50ms) if let Some(instance) = self.pools.get(&function.runtime)?.get_warm() { return Ok(instance); } // Cold start (1-5s depending on runtime) self.cold_start(function).await } } ``` ### 4.3 Serverless Pricing | Resource | Unit | Price (SYNOR) | |----------|------|---------------| | Invocations | 1M requests | 0.20 | | Duration | GB-second | 0.00001 | | Provisioned concurrency | GB-hour | 0.01 | | HTTP Gateway | 1M requests | 0.10 | | Event bridge | 1M events | 0.50 | --- ## Milestone 5: Edge Compute ### 5.1 Edge Node Architecture ```rust // synor-compute/src/edge/node.rs /// Edge compute node pub struct EdgeNode { pub node_id: NodeId, pub location: GeoLocation, pub capabilities: EdgeCapabilities, pub latency_zones: Vec, pub resources: EdgeResources, } pub struct EdgeCapabilities { pub wasm_runtime: bool, pub container_runtime: bool, pub gpu_inference: bool, pub video_transcoding: bool, pub cdn_cache: bool, } pub struct EdgeResources { pub cpu_cores: u32, pub memory_gb: u32, pub storage_gb: u32, pub gpu: Option, pub bandwidth_gbps: u32, } /// Edge function for low-latency compute pub struct EdgeFunction { pub function_id: FunctionId, pub code: WasmModule, pub memory_limit: u32, pub timeout_ms: u32, pub allowed_regions: Vec, } ``` ### 5.2 Edge Use Cases ```rust // synor-compute/src/edge/usecases.rs /// CDN with compute at edge pub struct EdgeCdn { /// Origin servers origins: Vec, /// Cache rules cache_rules: Vec, /// Edge workers for request/response transformation workers: Vec, } /// Real-time inference at edge pub struct EdgeInference { /// Model optimized for edge (quantized, pruned) model_id: ModelId, /// Inference runtime (TensorRT, ONNX Runtime) runtime: EdgeInferenceRuntime, /// Max batch size max_batch: u32, /// Target latency target_latency_ms: u32, } /// Video processing at edge pub struct EdgeVideoProcessor { /// Transcoding profiles profiles: Vec, /// Real-time streaming live_streaming: bool, /// Adaptive bitrate abr_enabled: bool, } ``` ### 5.3 Edge Pricing | Resource | Unit | Price (SYNOR) | |----------|------|---------------| | Edge function invocations | 1M | 0.50 | | Edge function duration | GB-second | 0.00002 | | Edge bandwidth | GB | 0.08 | | Edge cache storage | GB/month | 0.02 | | Video transcoding | minute | 0.02 | --- ## Milestone 6: Node Provider Economics ### 6.1 Provider Registration ```rust // synor-compute/src/provider/registration.rs /// Compute provider registration pub struct ProviderRegistration { pub provider_id: ProviderId, pub owner: Address, /// Stake required to become provider pub stake: u64, /// Hardware specifications pub hardware: HardwareManifest, /// Network connectivity pub network: NetworkManifest, /// Geographic location pub location: GeoLocation, /// Availability SLA commitment pub sla: SlaCommitment, } pub struct HardwareManifest { pub cpus: Vec, pub memory_total_gb: u64, pub gpus: Vec, pub storage: Vec, pub verified: bool, // Hardware attestation passed } pub struct SlaCommitment { pub uptime_percent: f32, // 99.9, 99.99, etc. pub response_time_ms: u32, pub data_durability: f32, pub penalty_rate: f32, // Penalty for SLA violation } ``` ### 6.2 Provider Revenue Model | Revenue Source | Provider Share | Protocol Share | |----------------|----------------|----------------| | Compute fees | 85% | 15% | | Storage fees | 80% | 20% | | Network fees | 75% | 25% | | SLA bonuses | 100% | 0% | | Staking rewards | 100% | 0% | ### 6.3 Slashing Conditions | Violation | Penalty | |-----------|---------| | Downtime > committed SLA | 1% stake per hour | | Data loss | 10% stake + compensation | | Malicious behavior | 100% stake | | False hardware attestation | 50% stake | --- ## Implementation Timeline ### Phase 11.1: Foundation (Weeks 1-4) - [ ] Node registration and hardware attestation - [ ] Basic job scheduler - [ ] WASM runtime integration (existing) - [ ] Container runtime (containerd) - [ ] Network overlay (WireGuard mesh) ### Phase 11.2: GPU Compute (Weeks 5-8) - [ ] GPU node registration - [ ] NVIDIA driver integration - [ ] CUDA runtime support - [ ] Basic ML job execution - [ ] Model storage integration ### Phase 11.3: Container Orchestration (Weeks 9-12) - [ ] OCI image support - [ ] Service deployment - [ ] Load balancing - [ ] Auto-scaling - [ ] Service mesh (mTLS) ### Phase 11.4: Persistent VMs (Weeks 13-16) - [ ] MicroVM runtime (Firecracker) - [ ] VM lifecycle management - [ ] Persistent storage - [ ] Live migration - [ ] Snapshot/restore ### Phase 11.5: Serverless (Weeks 17-20) - [ ] Function deployment - [ ] Cold start optimization - [ ] Event triggers - [ ] API gateway - [ ] Monitoring/logging ### Phase 11.6: Edge Compute (Weeks 21-24) - [ ] Edge node registration - [ ] Edge function runtime - [ ] CDN integration - [ ] Edge inference - [ ] Global anycast --- ## Security Considerations ### Isolation Levels | Workload Type | Isolation Technology | Security Level | |---------------|---------------------|----------------| | WASM | Wasmtime sandbox | High | | Serverless | gVisor + seccomp | High | | Containers | gVisor or Kata | Medium-High | | VMs | Firecracker MicroVM | High | | GPU | NVIDIA MIG/MPS | Medium | ### Network Security - All inter-node traffic encrypted (WireGuard) - mTLS for service-to-service communication - Network policies for workload isolation - DDoS protection at edge ### Data Security - Encryption at rest (AES-256) - Encryption in transit (TLS 1.3) - Confidential computing support (AMD SEV, Intel SGX) - Secure key management (HSM integration) --- ## API Examples ### Deploy AI Training Job ```bash synor compute train create \ --framework pytorch \ --model-config ./model.yaml \ --dataset synor://datasets/imagenet \ --gpus 8 \ --gpu-type h100 \ --distributed ddp \ --epochs 100 \ --checkpoint-interval 1000 \ --max-budget 1000 ``` ### Deploy Inference Endpoint ```bash synor compute inference deploy \ --model synor://models/llama-70b \ --format vllm \ --min-replicas 2 \ --max-replicas 10 \ --gpu-per-replica 2 \ --target-utilization 0.7 ``` ### Create Persistent VM ```bash synor compute vm create \ --name my-dev-server \ --image ubuntu:22.04 \ --size gpu-small \ --volume 100gb:nvme:/data \ --ssh-key ~/.ssh/id_ed25519.pub \ --region us-east ``` ### Deploy Container Service ```bash synor compute service deploy \ --name my-api \ --image my-registry/my-api:latest \ --replicas 3 \ --cpu 2 \ --memory 4gb \ --port 8080 \ --health-check /health \ --autoscale 2-10 ``` ### Deploy Serverless Function ```bash synor compute function deploy \ --name process-image \ --runtime python312 \ --handler main.handler \ --code ./function \ --memory 1024 \ --timeout 30000 \ --trigger http:/api/process ``` --- ## Comparison with Existing Synor VM | Feature | Current Synor VM | Synor Compute L2 | |---------|------------------|------------------| | Runtime | WASM only | WASM, Container, MicroVM | | Timeout | 30 seconds | Unlimited (VMs) | | Memory | 16 MB max | Up to 256 GB | | GPU | ❌ | ✅ Full CUDA/ROCm | | Networking | ❌ | ✅ Full TCP/UDP | | File I/O | ❌ | ✅ Persistent volumes | | Threading | ❌ | ✅ Multi-threaded | | AI/ML | ❌ | ✅ Training + Inference | | OS Hosting | ❌ | ✅ Full Linux/Windows | --- ## Next Steps 1. **Milestone 1**: Implement GPU node registration and attestation 2. **Milestone 2**: Build basic job scheduler with resource allocation 3. **Milestone 3**: Integrate containerd for container workloads 4. **Milestone 4**: Add Firecracker for MicroVM support 5. **Milestone 5**: Implement serverless function runtime 6. **Milestone 6**: Deploy edge nodes and CDN integration This plan transforms Synor from a smart contract platform into a full-stack decentralized cloud provider capable of competing with AWS/GCP/Azure while maintaining decentralization and censorship resistance.