# SOLAI NETWORK ## Decentralized AI Compute & Agent Orchestration Network ### Technical & Economic Whitepaper **Version 1.0 — August 2026** --- ## Abstract SOLAI Network is a decentralized artificial intelligence infrastructure protocol built on Solana. The network connects: * AI users; * AI agents; * local AI models; * independent compute providers; * decentralized compute marketplaces; * temporary AI clusters; * and blockchain-based economic coordination. The fundamental proposition is simple: > **Anyone should be able to use AI locally, contribute idle computing capacity, rent decentralized AI compute, and allow AI agents to dynamically assemble the infrastructure required to complete complex tasks.** SOLAI is designed around a distributed model in which computing resources remain under the control of their owners while the protocol provides the economic and coordination layer required to discover, price, rent, orchestrate and settle AI workloads. The initial runtime is based on Ollama and Ollama-compatible models. Users can run AI locally without participating in the compute marketplace. When a user has idle computational resources, they may voluntarily activate Provider Mode and make compatible models available to the network. Other users can discover available providers according to: * model; * GPU; * VRAM; * CPU; * RAM; * price; * latency; * availability; * reputation; * geographic region; * and other criteria. The provider defines the price for its available compute in SOLAI. Users must maintain SOLAI in stake to access defined levels of decentralized compute. The protocol uses Solana for: * token ownership; * staking; * provider registration; * leases; * escrow; * settlement; * protocol configuration; * and other economic state. AI inference itself remains off-chain. The network's most important higher-level component is the **SOLAI Coder**. SOLAI Coder is an AI-powered planner, scheduler and orchestrator capable of decomposing complex tasks into multiple jobs and distributing those jobs across independent compute providers. Instead of renting a single machine, a user may construct a temporary decentralized cluster consisting of: ```text 1 provider 2 providers 3 providers 5 providers 10 providers 100+ providers ``` depending on the task. These providers do not need to belong to the same organization or physical data center. The cluster exists logically through the SOLAI protocol and is orchestrated by SOLAI Coder. This creates a new model of AI infrastructure: > **Distributed hardware → decentralized marketplace → SOLAI Coder → temporary AI cluster → verified result.** --- # 1. Introduction Artificial intelligence is becoming a fundamental computational utility. However, the infrastructure required to execute AI remains heavily concentrated in centralized cloud providers. A relatively small number of companies control a large portion of the world's high-performance AI infrastructure. At the same time, a massive amount of computing capacity remains fragmented and underutilized. Examples include: * gaming GPUs; * developer workstations; * AI enthusiast machines; * research computers; * private servers; * enterprise hardware; * unused GPU capacity; * CPUs with available RAM; * and machines that are idle during predictable periods. SOLAI proposes connecting this fragmented infrastructure through an open protocol. The goal is not to replace centralized cloud computing immediately. The goal is to create an alternative infrastructure layer that allows: > **computing resources to become programmable, discoverable and economically rentable.** --- # 2. The SOLAI Vision SOLAI's long-term vision is to create a decentralized AI infrastructure network where users do not need to know where AI inference is physically executed. A user should be able to simply say: > "I need a powerful AI model to analyze this dataset." The SOLAI system should determine: * what model is appropriate; * how much compute is required; * how the task can be divided; * how many providers are needed; * which providers are available; * how much they cost; * how reliable they are; * how the jobs should be distributed; * how failures should be handled; * and how results should be combined. The user should ultimately care about: ```text Task Budget Deadline Quality ``` rather than: ```text GPU Driver VRAM Docker Ollama Provider IP ``` The infrastructure complexity should be handled by the protocol and SOLAI Coder. --- # 3. The Problem ## 3.1 Centralized AI Infrastructure Current AI infrastructure is predominantly centralized. A typical architecture is: ```text User ↓ Centralized API ↓ Centralized GPU Cluster ↓ AI Model ``` This creates several forms of dependency. ### Infrastructure dependency Applications depend on centralized infrastructure. ### Pricing dependency Users are exposed to centralized pricing decisions. ### Availability dependency An outage at the provider can affect thousands or millions of users. ### Model dependency Applications may become dependent on proprietary model APIs. ### Geographic concentration AI compute may be concentrated in a limited number of geographic regions. --- # 4. Underutilized Computing Capacity At the same time, computing resources are distributed throughout the world. Consider a computer with a powerful GPU that is used only: ```text 08:00 — 18:00 ``` During the remaining period, the hardware may be largely idle. A SOLAI provider could voluntarily make that capacity available: ```text 18:00 — 08:00 ``` The provider receives compensation for compute that would otherwise remain unused. The network therefore transforms: ```text Idle Hardware ``` into: ```text AI Infrastructure ``` --- # 5. The SOLAI Solution SOLAI combines six major layers: ```text 1. SOLAI Token 2. Solana Protocol 3. Compute Marketplace 4. AI Providers 5. SOLAI Coder 6. Task Clusters ``` The resulting architecture is: ```text SOLANA │ SOLAI PROTOCOL │ ┌─────────────────┼─────────────────┐ │ │ │ STAKING MARKETPLACE ESCROW │ │ │ └─────────────────┼─────────────────┘ │ COMPUTE PROVIDERS │ ┌─────────────────┼─────────────────┐ │ │ │ Provider A Provider B Provider C │ │ │ Ollama Ollama Ollama │ │ │ SOLAI-8B SOLAI-20B SOLAI-80B └─────────────────┼─────────────────┘ │ SOLAI CODER │ TASK PLANNER │ TASK CLUSTERS │ AI APPLICATIONS ``` --- # 6. SOLAI Token ## 6.1 Basic Parameters **Name:** SOLAI **Symbol:** SOLAI **Blockchain:** Solana **Initial Supply:** 1,000,000,000 SOLAI **Initial Distribution:** 100% through Pump.fun **Initial Private Allocation:** 0% **Initial VC Allocation:** 0% **Initial Presale:** 0% --- # 7. Initial Token Distribution The initial token supply is designed around a fair-launch model. | Allocation | Amount | Percentage | | ----------------------------- | ----------------: | ---------: | | Pump.fun Initial Distribution | 1,000,000,000 | 100% | | Team Allocation | 0 | 0% | | VC Allocation | 0 | 0% | | Private Sale | 0 | 0% | | Presale | 0 | 0% | | Marketing Allocation | 0 | 0% | | **Total** | **1,000,000,000** | **100%** | The project does not reserve a hidden supply for insiders at launch. Any future token issuance, if ever technically required, would need to be explicitly disclosed and governed by a separate protocol decision. The initial design is based on a fixed supply. --- # 8. Pump.fun Initial Distribution Pump.fun serves as the initial token distribution and market bootstrapping mechanism. The SOLAI protocol itself is independent from the Pump.fun marketplace. The conceptual relationship is: ```text Pump.fun │ │ Initial SOLAI distribution ▼ SOLAI Token │ ▼ SOLAI Protocol │ ├── Staking ├── Compute Marketplace ├── Provider Registry ├── Escrow └── Task Clusters ``` Pump.fun parameters, fees, graduation mechanics and external infrastructure are external dependencies and may change independently of SOLAI. The protocol should therefore never make its core functionality dependent on Pump.fun remaining unchanged. --- # 9. Token Utility SOLAI is intended to have actual protocol utility. Primary uses include: * compute rental; * provider payments; * staking; * access control; * compute collateral; * cluster budgets; * protocol fees; * future governance; * ecosystem services. The desired economic cycle is: ```text User ↓ Needs compute ↓ Acquires SOLAI ↓ Stakes SOLAI ↓ Rents compute ↓ Provider receives SOLAI ↓ Provider supplies more compute ↓ Network capacity increases ``` The token's intended utility comes from network activity. --- # 11. AI Agent The SOLAI Agent is the primary interface between users and the network. It supports two primary modes. ## Local Mode The user executes models locally: ```text SOLAI Agent ↓ Ollama ↓ Local Model ``` No decentralized compute rental is required. ## Network Mode The agent requests compute from the network: ```text SOLAI Agent ↓ Compute Marketplace ↓ Provider ↓ Ollama ↓ Model ``` The user can choose which mode to use. --- # 12. Local AI First SOLAI should not require users to rent cloud compute for basic usage. A user should be able to install the software and use: ```bash solai chat ``` with local models. This principle is important because it means SOLAI remains useful even when the user has: * no internet connection to a compute provider; * insufficient SOLAI for network compute; * or no need for remote infrastructure. The decentralized network is an extension of local AI, not a requirement for using the agent. --- # 13. Ollama Integration The initial provider runtime is based on Ollama. A provider may run: ```text Ollama ├── SOLAI-8B ├── SOLAI-20B ├── SOLAI-40B └── SOLAI-80B ``` The provider software detects compatible models automatically. Example: ```bash solai models ``` Output: ```text SOLAI MODELS ✓ SOLAI-8B ✓ SOLAI-20B ✓ SOLAI-80B ``` --- # 14. SOLAI Model Family The project may develop and distribute its own model family. Initial conceptual model classes: ```text SOLAI-3B SOLAI-8B SOLAI-20B SOLAI-40B SOLAI-80B ``` The exact architectures, parameter counts, quantizations and release schedules are development decisions and must not be represented as final until the models actually exist. --- # 15. SOLAI-80B SOLAI-80B is envisioned as one of the flagship high-capability models of the ecosystem. It may target high-end providers with sufficient VRAM and compute capacity. Example provider advertisement: ```text MODEL SOLAI-80B GPU A100 VRAM 80 GB PRICE 15 SOLAI/hour LATENCY 28 ms STATUS ONLINE ``` Another provider may offer: ```text SOLAI-80B Multi-GPU 96 GB VRAM 12 SOLAI/hour ``` The marketplace allows consumers to choose between providers. --- # 16. Compute Provider A Compute Provider is any participant who voluntarily contributes computing resources to SOLAI. The provider retains ownership and control of its hardware. The provider decides: * whether to participate; * when to participate; * which models to expose; * how much capacity to expose; * how much to charge; * and when to leave the marketplace. This is fundamental to the protocol. --- # 17. Provider Activation The provider can activate the network with: ```bash solai provider enable ``` The CLI detects: ```text CPU RAM GPU VRAM Ollama Models Network Wallet ``` Example: ```text SOLAI PROVIDER SETUP CPU 32 cores RAM 64 GB GPU RTX 4090 VRAM 24 GB Ollama ✓ Running Models ✓ SOLAI-8B ✓ SOLAI-20B Provider Mode: ENABLE ``` --- # 18. Provider Deactivation The provider can stop participating: ```bash solai provider disable ``` The machine should stop accepting new jobs. Existing leases must follow the protocol's graceful shutdown rules. The provider must never be forced to remain online indefinitely. --- # 19. Provider Scheduling Providers can optionally define availability windows. Example: ```bash solai provider schedule \ --from 22:00 \ --to 07:00 ``` This enables a user to monetize idle hardware overnight. Another provider may choose: ```text 24/7 ``` Another: ```text Weekdays only ``` Another: ```text When GPU utilization < 30% ``` --- # 20. Provider Pricing Every provider controls its own price. Example: ```bash solai provider price SOLAI-20B 4 ``` This establishes: ```text 4 SOLAI/hour ``` Different models may have different prices: ```text SOLAI-8B 2 SOLAI/hour SOLAI-20B 4 SOLAI/hour SOLAI-80B 15 SOLAI/hour ``` Pricing is a free-market mechanism. --- # 21. Compute Marketplace The marketplace allows users to discover available compute. Command: ```bash solai compute list ``` Example: ```text SOLAI COMPUTE MARKET ID MODEL GPU VRAM PRICE LATENCY ──────────────────────────────────────────────────────────── #184 SOLAI-80B RTX 4090 24GB 12 SOLAI/h 38ms #291 SOLAI-80B A100 80GB 25 SOLAI/h 21ms #391 SOLAI-20B RX 7900 XTX 24GB 4 SOLAI/h 42ms #412 SOLAI-8B RTX 3080 10GB 2 SOLAI/h 35ms ``` --- # 22. Marketplace Filters Users can filter providers: ```bash solai compute list \ --model SOLAI-80B \ --max-price 15 ``` Other possible filters: ```text --gpu --min-vram --max-price --max-latency --min-reputation --min-uptime --region --provider --available --model ``` Example: ```bash solai compute list \ --model SOLAI-20B \ --min-vram 24 \ --max-price 5 \ --max-latency 50 ``` --- # 23. Compute Rental A user selects a provider: ```bash solai compute rent 291 ``` The CLI displays: ```text Provider: #291 Model: SOLAI-80B Price: 25 SOLAI/hour Duration: 2 hours Maximum: 50 SOLAI Network Fee: 5 SOLAI Total Maximum: 55 SOLAI Confirm? [Y/n] ``` The exact protocol fee is configurable and subject to protocol governance. --- # 24. Compute Lease Every rental creates a lease. A lease contains: ```text Lease ID Consumer Provider Model Price Start Time Expiration Budget Status ``` Example: ```text LEASE #8F92A1 Consumer: 7xK...9Ab Provider: 4Qm...82Z Model: SOLAI-80B Price: 12 SOLAI/hour Duration: 2 hours Maximum: 24 SOLAI Status: ACTIVE ``` --- # 25. Escrow Compute payments should initially be protected through escrow. The flow is: ```text Consumer │ │ SOLAI ▼ Escrow Program │ ├── Provider │ └── Protocol ``` The user authorizes a maximum amount. The provider is paid according to the jobs successfully executed and validated according to protocol rules. This protects both sides from direct payment disputes. --- # 26. Protocol Fee A reference design may use: ```text 90% Provider 10% Protocol ``` Example: ```text 10 SOLAI compute payment Provider: 9 SOLAI Protocol: 1 SOLAI ``` The actual fee should be configurable and bounded by the protocol. The fee mechanism should be transparently documented. --- # 27. Treasury Protocol fees can support: * infrastructure; * development; * model research; * security audits; * RPC infrastructure; * developer grants; * documentation; * ecosystem growth; * research; * operational costs. Treasury wallets should be publicly disclosed. --- # 28. SOLAI Staking Staking provides economic commitment to the network. Users wishing to access decentralized compute must maintain an appropriate SOLAI stake. A conceptual initial structure: | Stake | Access | | ------------: | ---------- | | 100 SOLAI | Basic | | 1,000 SOLAI | Standard | | 10,000 SOLAI | Advanced | | 50,000 SOLAI | Premium | | 100,000 SOLAI | Enterprise | These are protocol design parameters and can be adjusted during development. --- # 29. Why Staking? Staking can provide: ### Sybil resistance It makes large-scale abuse more expensive. ### Network access It provides access to compute tiers. ### Economic commitment Participants maintain capital committed to the network. ### Reputation Stake can contribute to provider reputation. ### Future collateral Specific protocol functions may eventually use stake as collateral. Stake should not automatically be slashed because of ordinary hardware failures. --- # 30. Provider Reputation Each provider should accumulate a reputation score. Example: ```text Provider #184 Stake: 50,000 SOLAI Jobs: 8,421 Success: 99.7% Uptime: 99.2% Average Latency: 38 ms Reputation: 98/100 ``` Possible factors: * completed jobs; * uptime; * latency; * failed jobs; * disputes; * stake; * historical reliability. --- # 31. Consumer Reputation Consumers can also accumulate reputation. This protects providers from abusive users. Factors may include: * successful payments; * completed leases; * abuse reports; * disputes; * cancellation behavior; * network violations. The objective is to create a two-sided reputation system. --- # 32. Proof of Compute A decentralized compute network must address an important problem: > How can the protocol determine whether a provider actually performed the computation it claims to have performed? SOLAI introduces a progressive Proof of Compute architecture. Initial layers include: ```text Signed Job ↓ Job ID ↓ Provider Identity ↓ Model Hash ↓ Execution Metadata ↓ Result Verification ↓ Settlement ``` A provider reports: ```text Job ID Model Model Hash Start Time End Time Token Count Execution Status Provider Signature ``` This is not presented as perfect cryptographic proof. It is the initial verification layer. Future versions may introduce: * challenge jobs; * redundant execution; * trusted execution environments; * verifiable computation; * cryptographic proofs; * randomized validation. --- # 33. Model Verification Providers should advertise a cryptographically identifiable model. Example: ```text SOLAI-80B Version 1.0 Quantization Q4 SHA-256: xxxxxxxx... ``` The provider software computes the model hash. This prevents simple model substitution. --- # 34. Privacy AI workloads may contain sensitive information. SOLAI should therefore keep prompts and outputs off-chain. The blockchain should store: ```text Ownership Staking Lease Settlement Hashes Provider State ``` It should not store: ```text Raw Prompt Private Documents AI Response Private Context ``` Future privacy mechanisms may include: * encrypted inference; * confidential computing; * TEEs; * secure enclaves; * client-side encryption; * verifiable confidential execution. --- # 35. Provider Security A provider must never expose its operating system to consumers. Consumers should submit inference requests, not arbitrary commands. Safe: ```text Prompt ↓ SOLAI Runtime ↓ Ollama ``` Unsafe: ```text User ↓ Remote Shell ↓ Provider Machine ``` The network is an AI inference network, not a generic remote shell marketplace. --- # 36. Resource Isolation Providers can define: ```text CPU Limit RAM Limit GPU Limit VRAM Limit Concurrency Context Size Maximum Job Duration Request Size ``` Example: ```text CPU: 80% RAM: 48 GB GPU: 95% Concurrency: 2 Maximum Context: 32K ``` --- # 37. SOLAI Coder SOLAI Coder is the higher-level orchestration system of the network. It combines: ```text AI Agent + Task Planner + Task Decomposer + Model Selector + Provider Selector + Scheduler + Budget Manager + Validator + Result Aggregator ``` Its role is not simply to generate code. It is to transform complex goals into distributed computation. --- # 38. SOLAI Coder Example A user could write: > Build a complete Solana application with a smart contract, backend, frontend, tests and security review. SOLAI Coder analyzes the request. It may create: ```text Task 1 Architecture Task 2 Smart Contract Task 3 Backend Task 4 Frontend Task 5 Testing Task 6 Security Review Task 7 Integration ``` --- # 39. Task Graph SOLAI Coder represents complex work as a directed task graph. Example: ```text Architecture / | \ / | \ ▼ ▼ ▼ Contract Backend Frontend \ | / \ | / ▼ ▼ ▼ Testing │ ▼ Security Review │ ▼ Integration ``` Tasks may be: * sequential; * parallel; * conditional; * retryable; * replicated; * or dependent. --- # 40. Parallel Tasks Independent tasks can execute simultaneously. Example: ```text SOLAI CODER │ ┌──────────────┼──────────────┐ │ │ │ Research Backend Frontend │ │ │ Provider A Provider B Provider C │ │ │ └──────────────┼──────────────┘ │ Aggregation ``` This reduces overall execution time. --- # 41. Sequential Tasks Dependent tasks execute after prerequisites. Example: ```text Research ↓ Architecture ↓ Implementation ↓ Testing ↓ Security ``` SOLAI Coder manages the dependency graph. --- # 42. Hybrid Tasks Real-world workloads can combine both. ```text Research │ ┌─────────────┼─────────────┐ │ │ │ Backend Frontend Contract │ │ │ └─────────────┼─────────────┘ │ Testing │ ┌─────┴─────┐ │ │ Security QA │ │ └─────┬─────┘ │ Deploy ``` This is the basis of the SOLAI Task Cluster. --- # 43. SOLAI Task Cluster A Task Cluster is a temporary logical collection of independent compute providers. The providers do not need to belong to the same organization. They can be: ```text Provider A Provider B Provider C Provider D Provider E ``` located anywhere in the network. The cluster exists because SOLAI Coder coordinates them. --- # 44. Cluster Creation Users may manually specify a cluster: ```bash solai cluster create \ --workers 5 \ --model SOLAI-20B ``` The marketplace finds five suitable providers. Or the user can provide a task: ```bash solai cluster run \ "Analyze 50,000 documents" ``` SOLAI Coder determines the appropriate cluster automatically. --- # 45. One Provider Cluster The simplest cluster is: ```text User ↓ SOLAI Coder ↓ Provider A ``` This is still a cluster logically, even though it contains only one worker. --- # 46. Two-Provider Cluster ```text SOLAI Coder │ ├── Provider A │ └── Provider B ``` Jobs can be distributed between both providers. --- # 47. Three-Provider Cluster ```text SOLAI Coder / | \ / | \ ▼ ▼ ▼ Provider A B C ``` Three independent providers become one logical execution environment. --- # 48. Large Cluster The same architecture scales conceptually: ```text SOLAI CODER │ ┌────────────────┼─────────────────┐ │ │ │ Provider 1 Provider 2 Provider 3 │ │ │ Provider 4 Provider 5 Provider 6 │ │ │ Provider 7 Provider 8 Provider 9 │ │ │ └────────────────┼─────────────────┘ │ Aggregator ``` A cluster may contain dozens or eventually hundreds of providers. --- # 49. Cluster Budget Every cluster must have an explicit maximum budget. Example: ```text Workers: 10 Price: 4 SOLAI/hour Maximum Duration: 2 hours Maximum Budget: 80 SOLAI ``` The scheduler cannot exceed the authorized budget. --- # 50. Agent Spending Limits A user may give SOLAI Coder limited spending authority. Example: ```text Daily: 50 SOLAI Per Task: 10 SOLAI Maximum Provider: 3 SOLAI/hour ``` This allows autonomous AI agents to purchase compute without giving them unlimited control of the user's wallet. --- # 51. Dynamic Cluster Scaling Clusters can dynamically grow or shrink. Example: ```text Task starts ↓ 3 providers ↓ Queue increases ↓ 5 providers ↓ Queue increases ↓ 10 providers ↓ Work decreases ↓ 4 providers ``` The cluster therefore behaves like an elastic decentralized cloud. --- # 52. Provider Selection SOLAI Coder can select providers based on: ```text Price Model VRAM GPU Latency Reputation Uptime Availability Region Current Load ``` The user may specify priorities. Example: ```text Quality: High Budget: 100 SOLAI Deadline: 2 hours ``` SOLAI Coder attempts to find the optimal cluster. --- # 53. Cost-Aware Scheduling The scheduler may calculate: ```text Provider Score = Performance + Reliability + Availability - Cost - Latency ``` The exact algorithm should be configurable. The network should avoid creating a permanently centralized ranking authority. --- # 54. Task Replication Critical tasks can be executed more than once. Example: ```text Job #104 │ ┌────────┼────────┐ │ │ │ Provider A Provider B Provider C │ │ │ Result A Result B Result C └────────┼────────┘ │ Validation ``` Replication improves confidence but increases cost. The user may select: ```bash --replicas 3 ``` or: ```bash --verification high ``` --- # 55. Fault Tolerance If a provider disappears: ```text Provider B ↓ OFFLINE ``` SOLAI Coder detects the failure. Then: ```text Detect Failure ↓ Requeue Job ↓ Find Replacement ↓ Provider F ↓ Resume ``` This prevents one machine from terminating the entire cluster. --- # 56. Cluster Escrow Suppose: ```text 8 providers × 4 SOLAI/hour × 2 hours ``` Maximum: ```text 64 SOLAI ``` The user's funds can be committed to cluster escrow. The escrow distributes payment according to actual validated execution. --- # 57. Cluster Jobs Every cluster has: ```text Cluster ID ``` Every task has: ```text Job ID ``` Example: ```text Cluster #A8129F Job #001 Job #002 Job #003 Job #004 Job #005 ``` This creates traceability. --- # 58. Task Job Lifecycle ```text CREATED ↓ QUEUED ↓ ASSIGNED ↓ RUNNING ↓ RESULT ↓ VALIDATION ↓ COMPLETED ``` Failure: ```text RUNNING ↓ FAILED ↓ RETRY ↓ REASSIGN ``` --- # 59. Model Selection Per Task A cluster does not need to use a single model. SOLAI Coder may determine: ```text Classification → SOLAI-8B Research → SOLAI-20B Coding → SOLAI-40B Complex Reasoning → SOLAI-80B ``` This allows the cluster to optimize cost and quality. --- # 60. Distributed Document Processing Example: ```text 50,000 documents ``` SOLAI Coder divides them: ```text Provider A 10,000 Provider B 10,000 Provider C 10,000 Provider D 10,000 Provider E 10,000 ``` The results are then aggregated. This is one of the simplest practical use cases for decentralized AI clusters. --- # 61. Distributed Coding SOLAI Coder can distribute software development. Example: ```text User: Build a complete application. ``` The system creates: ```text Architecture │ ┌────┼─────┐ │ │ │ Backend Frontend Contract │ │ │ └────┼─────┘ │ Testing │ Security │ Integration ``` Different jobs can be assigned to different models and providers. --- # 62. AI Agent as Compute Consumer The SOLAI Agent can eventually hold a controlled SOLAI budget. Example: ```text Agent Wallet Available: 50 SOLAI Daily Compute Limit: 10 SOLAI ``` The agent can independently: ```text Analyze task ↓ Determine model ↓ Search marketplace ↓ Select providers ↓ Create cluster ↓ Execute ↓ Validate ↓ Pay ``` This is the foundation of an autonomous AI economy. --- # 63. SOLAI Coder Architecture SOLAI Coder consists conceptually of: ```text SOLAI CODER │ ┌──────────────┼──────────────┐ │ │ │ Planner Scheduler Validator │ │ │ │ Provider Result │ Selection Verification │ │ │ └──────────────┼──────────────┘ │ Budget Manager │ Task Graph ``` Additional modules: ```text Task Decomposer Model Selector Job Queue Retry Manager Result Aggregator Cluster Manager ``` --- # 64. SOLAI Coder Control Loop ```text USER REQUEST ↓ UNDERSTAND ↓ PLAN ↓ DECOMPOSE ↓ ESTIMATE COST ↓ FIND PROVIDERS ↓ BUILD CLUSTER ↓ EXECUTE ↓ VALIDATE ↓ RETRY IF NECESSARY ↓ AGGREGATE ↓ FINAL RESULT ``` --- # 65. Task Graph Example A task can be represented conceptually as: ```json { "cluster": "A8129F", "tasks": [ { "id": "research", "model": "SOLAI-20B", "dependsOn": [] }, { "id": "architecture", "model": "SOLAI-20B", "dependsOn": ["research"] }, { "id": "backend", "model": "SOLAI-20B", "dependsOn": ["architecture"] }, { "id": "frontend", "model": "SOLAI-20B", "dependsOn": ["architecture"] }, { "id": "security", "model": "SOLAI-80B", "dependsOn": ["backend"] } ] } ``` This is not blockchain data. It is the logical representation used by SOLAI Coder. --- # 66. Cluster-as-a-Service The ultimate user experience should be extremely simple. The user says: ```text Analyze these 50,000 documents. ``` SOLAI Coder replies: ```text Estimated compute: 8 providers SOLAI-20B Expected duration: 1h 35m Estimated cost: 72 SOLAI Maximum: 90 SOLAI Proceed? [Y/n] ``` The user confirms. The cluster is created. --- # 67. Deadline-Based Scheduling Users may specify: ```text --deadline 2h ``` The scheduler determines how much parallelism is required. For example: ```text Deadline: 2 hours Required: 50,000 jobs Available: 12 providers Selected: 8 providers Estimated: 1h 34m Cost: 82 SOLAI ``` --- # 68. Quality-Based Scheduling Users can choose: ```text Quality: Low Medium High Maximum ``` The scheduler can map quality requirements to model and provider choices. For example: ```text Low → SOLAI-8B Medium → SOLAI-20B High → SOLAI-40B Maximum → SOLAI-80B ``` Actual model selection remains subject to model availability and task requirements. --- # 69. Cluster Templates Users can create reusable cluster profiles. ### Coding Cluster ```text 4 × SOLAI-20B 2 × SOLAI-40B 1 × SOLAI-80B ``` ### Research Cluster ```text 8 × SOLAI-20B 2 × SOLAI-80B ``` ### Document Cluster ```text 20 × SOLAI-8B ``` ### Security Cluster ```text 3 × SOLAI-40B 3 × SOLAI-80B ``` --- # 70. Ephemeral Infrastructure SOLAI clusters are temporary. A cluster exists only while the task requires it. When the task ends: ```text Cluster ↓ Lease Ends ↓ Workers Released ↓ Providers Return ``` The network therefore does not require permanent centralized clusters. --- # 71. Decentralized Cloud Concept Traditional cloud: ```text Company ↓ Data Center ↓ GPU Cluster ``` SOLAI: ```text Global Providers ↓ Marketplace ↓ SOLAI Coder ↓ Temporary Cluster ``` The physical infrastructure remains distributed. The computational capacity becomes programmable. --- # 72. Provider Marketplace and Cluster Marketplace The protocol therefore has two levels. ## Level 1 — Compute Marketplace Users buy individual compute. ```text Provider ↓ Hourly Compute ``` ## Level 2 — Cluster Marketplace Users buy a computational outcome. ```text Task ↓ SOLAI Coder ↓ Multiple Providers ↓ Cluster ↓ Result ``` This distinction is fundamental. --- # 73. Network Architecture The complete architecture becomes: ```text SOLANA │ SOLAI PROTOCOL │ ┌─────────────────┼─────────────────┐ │ │ │ STAKING MARKETPLACE ESCROW │ │ │ └─────────────────┼─────────────────┘ │ PROVIDER REGISTRY │ ┌─────────────────┼─────────────────┐ │ │ │ Provider A Provider B Provider C │ │ │ Ollama Ollama Ollama │ │ │ SOLAI-8B SOLAI-20B SOLAI-80B └─────────────────┼─────────────────┘ │ SOLAI CODER │ ┌───────┴────────┐ │ │ Planner Scheduler │ │ └───────┬────────┘ │ TASK GRAPH │ ┌─────────────────┼─────────────────┐ │ │ │ Job 1 Job 2 Job 3 │ │ │ Provider A Provider B Provider C └─────────────────┼─────────────────┘ │ VALIDATION │ AGGREGATION │ ▼ USER ``` --- # 74. On-Chain Architecture Solana handles economic and protocol state. Initial programs: ```text SOLAI Token │ ├── Staking Program │ ├── Provider Registry │ ├── Marketplace Program │ ├── Lease Program │ ├── Cluster Program │ └── Escrow Program ``` --- # 75. Provider Registry A provider account may conceptually contain: ```text provider_wallet provider_id status stake reputation hardware_commitment model_count created_at last_seen ``` Large metadata should remain off-chain. --- # 76. Model Registry A model registry can contain: ```text model_id version architecture parameter_class quantization minimum_vram runtime model_hash metadata_uri ``` This establishes model identity. --- # 77. Lease Account A lease can conceptually contain: ```text lease_id consumer provider model price start_time expiration budget status ``` --- # 78. Cluster Account A cluster can contain: ```text cluster_id consumer budget start_time expiration status worker_count task_graph_hash ``` The complete task graph does not need to live on-chain. A cryptographic commitment can be stored. --- # 79. Job Account A job can contain: ```text job_id cluster_id provider model status budget result_hash execution_commitment ``` Large prompts and results remain off-chain. --- # 80. Off-Chain Architecture Off-chain infrastructure handles: ```text AI prompts AI responses Streaming Inference Job queues Provider health Latency Model files Task graphs Cluster orchestration ``` The blockchain should not become the transport layer for AI data. --- # 81. Provider Networking A provider architecture can be divided into: ```text Control Plane │ ├── Registration ├── Heartbeat ├── Marketplace └── Job Coordination │ ▼ Inference Plane │ └── Ollama ``` --- # 82. Heartbeats Providers periodically report: ```text Provider ID Status Available Models Capacity Timestamp Signature ``` Example: ```text Provider #391 Status: ONLINE Models: SOLAI-8B SOLAI-20B Capacity: 72% Last Seen: 08:42:15 ``` --- # 83. Provider Lifecycle ```text REGISTER ↓ VERIFY ↓ ONLINE ↓ AVAILABLE ↓ BUSY ↓ AVAILABLE ↓ OFFLINE ``` The provider can voluntarily disable itself. --- # 84. Discovery The marketplace can use an off-chain index derived from: * provider registrations; * signed heartbeats; * pricing; * hardware metadata; * model registry; * reputation; * availability. Critical ownership and settlement information remains on-chain. --- # 85. API SOLAI should provide an API compatible with common AI application interfaces where practical. Example: ```http POST /v1/chat/completions ``` Request: ```json { "model": "SOLAI-80B", "messages": [ { "role": "user", "content": "Analyze this document." } ] } ``` The API can determine whether to use: ```text Local Compute ``` or: ```text Decentralized Compute ``` --- # 86. Compute API Applications should eventually be able to request compute directly. Conceptual request: ```json { "model": "SOLAI-80B", "maxPrice": 15, "maxLatency": 50, "minimumVram": 40, "duration": 3600 } ``` The marketplace finds an appropriate provider. --- # 87. Cluster API Applications can request a cluster: ```json { "workers": 10, "model": "SOLAI-20B", "maxPricePerHour": 5, "maximumBudget": 100, "deadline": 7200 } ``` SOLAI Coder and the scheduler handle provider discovery. --- # 88. Agent API An AI agent can request capabilities rather than hardware. Example: ```json { "task": "deep_reasoning", "quality": "high", "maximumBudget": 10, "deadline": 1800 } ``` The network decides how to fulfill it. This abstracts infrastructure away from the agent. --- # 89. SDK The ecosystem should provide: ```text @solai/sdk ``` Conceptual usage: ```javascript const solai = new SolaiClient({ wallet, network: "mainnet" }); const cluster = await solai.cluster.create({ workers: 5, model: "SOLAI-20B", maxBudget: 50 }); const result = await cluster.run(task); ``` --- # 90. CLI The CLI is a fundamental part of the project. Primary commands: ```text solai setup solai wallet solai balance solai stake solai unstake solai chat solai agent solai models solai model install solai compute list solai compute search solai compute rent solai rental list solai rental status solai provider enable solai provider disable solai provider status solai provider price solai provider schedule solai provider models solai provider earnings solai cluster create solai cluster list solai cluster status solai cluster stop solai cluster logs solai coder solai network status ``` --- # 91. Provider CLI Example ```bash solai provider enable ``` ```text ✓ Ollama detected ✓ GPU detected ✓ Model detected ✓ Wallet connected ✓ Provider registered Provider: #391 Status: ONLINE ``` --- # 92. Marketplace CLI Example ```bash solai compute list \ --model SOLAI-80B \ --max-price 15 \ --min-vram 40 ``` Output: ```text ID GPU VRAM PRICE LATENCY SCORE ──────────────────────────────────────────────── 291 A100 80GB 25 SOLAI/h 21ms 99 512 H100 80GB 30 SOLAI/h 17ms 99 ``` --- # 93. Cluster CLI Example ```bash solai cluster create \ --workers 5 \ --model SOLAI-20B \ --max-price 5 ``` Output: ```text SEARCHING PROVIDERS... ✓ Provider #184 ✓ Provider #291 ✓ Provider #391 ✓ Provider #412 ✓ Provider #512 Cluster: 5 workers Model: SOLAI-20B Estimated: 20 SOLAI/hour Create cluster? [Y/n] ``` --- # 94. Automatic Cluster Example The user can instead write: ```bash solai coder "Analyze 50,000 documents and produce a security report" ``` SOLAI Coder may respond: ```text TASK ANALYSIS Documents: 50,000 Recommended Model: SOLAI-20B Recommended Workers: 8 Estimated Time: 1h 42m Estimated Cost: 74 SOLAI Maximum: 90 SOLAI Create decentralized cluster? [Y/n] ``` --- # 95. Cluster Monitoring ```bash solai cluster status ``` Output: ```text CLUSTER #A8129F Status: RUNNING Workers: 8 / 8 Jobs: 38,421 / 50,000 Completed: 76.8% Estimated Remaining: 31 minutes Cost: 57.4 / 90 SOLAI Providers: #184 ONLINE #291 ONLINE #391 ONLINE #412 ONLINE #512 ONLINE #621 ONLINE #710 ONLINE #812 ONLINE ``` --- # 96. Cluster Failure Example If Provider #512 fails: ```text WARNING Provider #512 became unavailable. Affected jobs: 312 Action: Reassigning jobs... Replacement: Provider #733 Cluster: RUNNING No user action required. ``` This is a core property of decentralized clusters. --- # 97. Distributed AI Pipelines SOLAI can eventually support: ```text Input ↓ Classification ↓ Processing ↓ Reasoning ↓ Verification ↓ Aggregation ↓ Output ``` Each stage can use different providers. --- # 98. AI Application Ecosystem Third-party developers can build: * coding agents; * research agents; * document agents; * data-analysis agents; * cybersecurity analysis tools; * customer-service systems; * game AI; * robotics systems; * creative AI applications; * autonomous software agents. All can use SOLAI infrastructure. --- # 99. AI Agent Economy The long-term model is: ```text AI Agent │ ├── Wallet ├── SOLAI Balance ├── Compute Budget └── Reputation ``` The agent can consume compute programmatically. This enables AI agents to become economic participants in the network. --- # 100. Autonomous Cluster Creation An agent may decide: ```text Local model insufficient ↓ Search network ↓ SOLAI-80B available ↓ Need 5 parallel workers ↓ Budget available ↓ Create cluster ↓ Execute ↓ Validate ↓ Release workers ``` This is the long-term vision of SOLAI Coder. --- # 101. DePIN Model SOLAI is designed as an AI-focused DePIN architecture. Physical infrastructure: ```text GPU CPU RAM Storage Network ``` Economic coordination: ```text SOLAI Staking Pricing Marketplace Escrow Settlement ``` AI coordination: ```text Agents Task Graphs Schedulers Clusters Models ``` Together: > **Physical AI infrastructure coordinated by decentralized economic incentives and AI orchestration.** --- # 102. Storage The blockchain should never store complete AI models. Possible architecture: ```text Local: User Machine Temporary: Provider Public Model Metadata: IPFS / Arweave Blockchain: Hashes + Ownership + Settlement ``` Long-term immutable model artifacts may use permanent decentralized storage. Mutable metadata can use IPFS or conventional infrastructure. --- # 103. Model Distribution The user may install models with: ```bash solai model install SOLAI-80B ``` The installer: 1. Downloads the model. 2. Verifies its checksum. 3. Installs it into Ollama. 4. Registers it locally. 5. Reports compatibility. --- # 104. Model Versioning Models should be immutable by version. Example: ```text SOLAI-80B:1.0 SOLAI-80B:1.1 SOLAI-80B:2.0 ``` Providers advertise the exact version. --- # 105. Cluster Templates The protocol may eventually support templates: ```text solai cluster template coding ``` Example: ```text CODING CLUSTER 4 × SOLAI-20B 2 × SOLAI-40B 1 × SOLAI-80B ``` The user can deploy the template automatically. --- # 106. Enterprise Infrastructure Future versions may support: * dedicated compute; * reserved capacity; * private clusters; * encrypted workloads; * geographic restrictions; * SLAs; * private models; * enterprise authentication. The decentralized marketplace remains the underlying infrastructure. --- # 107. Governance The protocol may eventually introduce governance for: * protocol fees; * staking parameters; * supported model standards; * treasury; * verification rules; * upgrades. Governance must not have unrestricted ability to seize user funds. Smart-contract permissions should be explicitly limited. --- # 108. Progressive Decentralization The network should evolve through stages. ### Phase 1 Centralized discovery with decentralized settlement. ### Phase 2 Multiple independent indexers. ### Phase 3 Distributed provider discovery. ### Phase 4 Permissionless marketplace infrastructure. ### Phase 5 Highly decentralized AI orchestration. Centralized components used during early development must be clearly documented. --- # 109. Security Security requirements include: ### Smart Contracts * Rust; * Anchor; * account validation; * PDA validation; * overflow protection; * authority separation; * audit; * emergency mechanisms. ### Providers * sandboxing; * resource limits; * process isolation; * no arbitrary code execution. ### API * authentication; * rate limiting; * request limits; * abuse prevention. ### Wallets * secure key management; * hardware wallet support; * no private keys transmitted to servers. --- # 110. Threat Model Important threats include: ### Fake providers A provider claims to have powerful hardware it does not possess. ### Fake models A provider claims to run SOLAI-80B but runs another model. ### Fake compute A provider claims to execute jobs without doing so. ### Provider failure A machine disappears during execution. ### Consumer abuse A user submits malicious or prohibited workloads. ### Sybil attacks An attacker creates large numbers of identities. ### Marketplace manipulation Attackers attempt to manipulate rankings or reputation. ### Token manipulation Market activity may cause significant price volatility. --- # 111. Fault Tolerance The cluster architecture assumes that individual machines will fail. Therefore: ```text Provider failure ↓ Job retry ↓ Provider replacement ↓ Cluster continues ``` The network should be designed around failure rather than assuming perfect availability. --- # 112. Network Metrics SOLAI should publicly monitor: ## Infrastructure ```text Active Providers Total GPUs Total VRAM Available Models Compute Hours ``` ## Network ```text Active Consumers Jobs Successful Jobs Average Latency Provider Uptime ``` ## Economy ```text SOLAI Staked Compute Volume Provider Revenue Protocol Revenue Active Leases Active Clusters ``` --- # 113. Primary Success Metrics Market capitalization should not be the primary measure of network success. More meaningful metrics include: ```text Active Providers Active Consumers Compute Hours Inference Jobs Cluster Jobs Successful Jobs Average Cost Average Latency Network Utilization ``` The ultimate metric is: > **Real AI compute being performed by the network.** --- # 114. Economic Flywheel The intended flywheel is: ```text More Users ↓ More AI Tasks ↓ More Compute Demand ↓ More SOLAI Utility ↓ More Provider Revenue ↓ More Providers ↓ More Compute ↓ Better Availability ↓ More Applications ↓ More Users ``` --- # 115. Cluster Flywheel Task Clusters create another flywheel: ```text More Complex Tasks ↓ More Cluster Demand ↓ More Providers ↓ More Parallel Capacity ↓ Faster AI Execution ↓ More Applications ↓ More Complex Tasks ``` --- # 116. Token Flywheel The economic layer is: ```text Compute Demand ↓ SOLAI Payments ↓ Provider Revenue ↓ Provider Participation ↓ More Compute ↓ More Demand ``` Staking adds: ```text Network Participation ↓ SOLAI Stake ↓ Access / Reputation / Security ``` --- # 117. Roadmap ## Phase 0 — Research * architecture; * economics; * threat model; * model strategy; * protocol design. ## Phase 1 — Local AI ```bash solai chat ``` Features: * Ollama; * local models; * model management. ## Phase 2 — Provider ```bash solai provider enable ``` Features: * hardware detection; * Ollama; * provider runtime; * heartbeat. ## Phase 3 — Marketplace ```bash solai compute list ``` Features: * discovery; * filters; * pricing; * reputation. ## Phase 4 — Solana Implement: * token; * staking; * registry; * lease; * escrow; * settlement. ## Phase 5 — Compute Rentals ```bash solai compute rent ``` ## Phase 6 — SOLAI Coder Implement: * planning; * decomposition; * provider selection; * model selection. ## Phase 7 — Task Clusters Implement: * parallel jobs; * sequential jobs; * task graphs; * budgets; * dynamic workers. ## Phase 8 — Fault Tolerance Implement: * retries; * replacement; * replication; * verification. ## Phase 9 — Autonomous AI Enable agents to autonomously: * select models; * purchase compute; * construct clusters; * execute tasks; * validate results. --- # 118. MVP The minimum viable network should include: ```text ✓ SOLAI Token ✓ Solana ✓ Staking ✓ Provider Registry ✓ Ollama Provider ✓ CLI ✓ Marketplace ✓ Provider Pricing ✓ Compute Lease ✓ Escrow ✓ Settlement ✓ SOLAI Coder ✓ Task Graph ✓ Parallel Jobs ✓ Cluster Budget ✓ Job Queue ✓ Retry ✓ Result Aggregation ``` Advanced cryptographic compute verification can be introduced progressively. --- # 119. Recommended Repository ```text solai/ │ ├── programs/ │ ├── staking/ │ ├── provider-registry/ │ ├── marketplace/ │ ├── lease/ │ ├── cluster/ │ └── escrow/ │ ├── cli/ │ ├── commands/ │ ├── wallet/ │ ├── provider/ │ ├── compute/ │ ├── cluster/ │ ├── models/ │ └── coder/ │ ├── provider/ │ ├── ollama/ │ ├── runtime/ │ ├── scheduler/ │ ├── heartbeat/ │ └── verification/ │ ├── coder/ │ ├── planner/ │ ├── scheduler/ │ ├── task-graph/ │ ├── cluster-manager/ │ ├── validator/ │ └── aggregator/ │ ├── sdk/ │ ├── api/ │ ├── indexer/ │ ├── dashboard/ │ ├── models/ │ ├── docs/ │ └── tests/ ``` --- # 120. SOLAI Network Layers The complete architecture can be viewed as seven layers. ### Layer 1 — Blockchain ```text Solana ``` ### Layer 2 — Economic Protocol ```text SOLAI Staking Escrow Settlement ``` ### Layer 3 — Marketplace ```text Providers Prices Models Availability Reputation ``` ### Layer 4 — Compute ```text GPU CPU RAM Ollama ``` ### Layer 5 — AI ```text SOLAI Models AI Agents Inference ``` ### Layer 6 — Orchestration ```text SOLAI Coder Task Graph Scheduler Clusters ``` ### Layer 7 — Applications ```text Coding Research Automation Data Enterprise Agents ``` --- # 121. Ultimate Architecture The final conceptual architecture is: ```text ┌─────────────┐ │ USER │ └──────┬──────┘ │ ▼ ┌─────────────────┐ │ SOLAI CODER │ │ │ │ Planner │ │ Scheduler │ │ Budget Manager │ │ Validator │ └────────┬────────┘ │ TASK GRAPH │ ┌─────────────────┼─────────────────┐ │ │ │ ▼ ▼ ▼ TASK 1 TASK 2 TASK 3 │ │ │ ▼ ▼ ▼ Provider A Provider B Provider C │ │ │ Ollama Ollama Ollama │ │ │ Model A Model B Model C │ │ │ └─────────────────┼─────────────────┘ │ VALIDATION │ AGGREGATION │ ▼ RESULT ``` --- # 122. The Core Innovation The most important innovation of SOLAI is not simply renting GPUs. It is the combination of: ```text Distributed Compute + AI Agents + Task Decomposition + Marketplace + Economic Coordination + Temporary Clusters ``` A provider does not need to sell an entire server. A user does not need to rent an entire server. An AI agent does not need to know where the computation occurs. The network dynamically assembles the resources required for the task. --- # 123. The Cluster Principle The fundamental cluster principle is: > **A cluster is a logical computational resource, not necessarily a physical machine group.** A cluster can contain: ```text Provider A Provider B Provider C ``` and still behave as one computational resource from the perspective of the user. When the task ends: ```text Cluster disappears. Providers remain independent. ``` This is what allows the network to scale without owning the physical infrastructure itself. --- # 124. SOLAI Coder as the Brain The architecture can therefore be summarized: ```text SOLANA ↓ Economic Coordination SOLAI ↓ Economic Unit MARKETPLACE ↓ Compute Discovery PROVIDERS ↓ Physical Infrastructure OLLAMA ↓ Inference Runtime MODELS ↓ Intelligence SOLAI CODER ↓ Orchestration TASK CLUSTERS ↓ Distributed Execution ``` --- # 125. Final Project Definition The official definition of SOLAI Network is: > **SOLAI Network is a decentralized AI compute and agent orchestration network built on Solana. It connects users, AI agents, AI models and independently operated compute providers through an open economic marketplace. Users can run AI locally through Ollama, while providers can voluntarily monetize idle computing resources. SOLAI Coder can dynamically discover, rent and coordinate multiple independent providers into temporary decentralized task clusters, allowing complex AI workloads to be decomposed, executed in parallel or sequentially, verified and aggregated into a final result.** In simpler terms: > **SOLAI turns idle computers into a decentralized AI cloud, and SOLAI Coder turns that cloud into AI clusters on demand.** --- # 126. Fundamental Development Principle SOLAI should follow one principle throughout development: > **Build real infrastructure first. Let the token become useful because the infrastructure is useful.** The network should eventually demonstrate: ```text REAL USER + REAL AI TASK + REAL MODEL + REAL PROVIDER + REAL COMPUTE + REAL SOLAI PAYMENT + REAL CLUSTER = REAL NETWORK ``` --- # 127. Conclusion The centralized AI model assumes that the company operating the AI owns the infrastructure. SOLAI proposes another possibility. The infrastructure can be distributed. The models can be open. The providers can be independent. The marketplace can be permissionless. The user can choose how much compute to rent. The provider can choose when to participate. The AI agent can choose which model to use. The SOLAI Coder can determine how a complex task should be divided. And multiple independent machines can temporarily become one logical computational cluster. The resulting architecture is: ```text HUMAN / APPLICATION │ ▼ SOLAI CODER │ TASK GRAPH │ ┌──────────┼──────────┐ │ │ │ ▼ ▼ ▼ Provider Provider Provider │ │ │ Ollama Ollama Ollama │ │ │ └──────────┼──────────┘ │ RESULTS │ VALIDATION │ AGGREGATION │ ▼ USER ``` Underneath this system: ```text SOLANA │ SOLAI TOKEN │ ┌────────────────┼────────────────┐ │ │ │ STAKING ESCROW SETTLEMENT │ │ │ └────────────────┼────────────────┘ │ COMPUTE MARKET ``` SOLAI therefore aims to create an infrastructure layer where: > **AI intelligence is distributed, computing capacity is permissionless, and complex workloads can assemble their own decentralized infrastructure on demand.** --- # 128. Final Mantra ## USE AI LOCALLY. ## SHARE IDLE COMPUTE. ## RENT DECENTRALIZED INTELLIGENCE. ## BUILD AI CLUSTERS ON DEMAND. ## LET AGENTS ORCHESTRATE THE NETWORK. ## POWERED BY SOLANA. --- # SOLAI NETWORK ### Decentralized AI Compute & Agent Orchestration Network **SOLAI** **1,000,000,000 initial supply** **Solana** **Initial distribution through Pump.fun** **Ollama-powered decentralized compute** **SOLAI Coder** **Task Clusters** **AI Agents** **Decentralized Infrastructure**