{
    "meta": {
        "title": "D-Central — Decentralized Compute & DePIN Networks",
        "description": "12 token-incentivized decentralized GPU/compute marketplaces and DePIN networks: what each provides, token + chain, how you consume it, open-source grade and decentralization model.",
        "generated": "2026-06-21T14:02:21+00:00",
        "version": "1.0",
        "license": "https://creativecommons.org/licenses/by/4.0/",
        "license_name": "CC BY 4.0",
        "source": "https://d-central.tech/depin-compute-networks/",
        "record_count": 12,
        "provenance": "Compiled from each project's official docs/site and primary repos (cited per row). The D-Central Mining Bible does not cover DePIN/decentralized compute; canonical public sources are the authority here.",
        "inclusion": "Token-incentivized decentralized/permissionless GPU/compute marketplaces and DePIN networks. EXCLUDED: decentralized storage (Filecoin), and centrally-orchestrated GPU rentals without a DePIN token model (Vast.ai, Clore, Salad).",
        "disclaimer": "No price, market-cap, ARR or token figures are stored -- those are volatile and out of scope. Token tickers, chains and mainnet status are point-in-time (mid-2026) and must be re-verified at source. Cost-savings figures in \"notable\" are PROJECT marketing claims, not verified facts. Open-source status is graded (Yes/Partial/Commercial), not binary. Bittensor is an intelligence-incentive market, not a like-for-like GPU-by-the-hour rental. Not financial advice; nothing here is an endorsement of any token."
    },
    "rows": [
        {
            "id": "akash",
            "network": "Akash Network",
            "category": "Decentralized cloud (GPU + CPU) marketplace",
            "provides": "On-demand GPU and CPU containers; deploy any Docker/OCI image via reverse-auction bidding (you set max price, providers bid). Pre-built templates for Llama 3, DeepSeek, Stable Diffusion.",
            "token": "AKT",
            "chain": "Akash's own Cosmos-SDK / Tendermint app-chain (also accepts USDC via IBC)",
            "how_you_consume": "Define a deployment SDL, set resources + max price, providers bid; pay deployment fees in AKT/USDC from a Keplr/Leap wallet. CLI or Akash Console web UI.",
            "open_source": "Yes (Apache-2.0; Cosmos-SDK based)",
            "decentralization_model": "Permissionless provider marketplace secured by a PoS L1; AKT staked by validators/delegators; reverse-auction price discovery.",
            "notable": "Positions ~60-85% cheaper than AWS/GCP/Azure (project claim — verify). Among the longest-running compute DePINs; Blackwell GPU integration announced.",
            "source": "https://akash.network/ ; https://messari.io/report/state-of-akash-q4-2025"
        },
        {
            "id": "render",
            "network": "Render Network",
            "category": "Decentralized GPU rendering + compute marketplace",
            "provides": "GPU-accelerated 3D rendering (OctaneRender, Redshift, Blender Cycles) and increasingly generative-AI / compute jobs.",
            "token": "RENDER (renamed/upgraded from legacy RNDR)",
            "chain": "Solana (migrated from Ethereum in late 2023; legacy ERC-20 history)",
            "how_you_consume": "Submit render/compute jobs through Render client/partner integrations; node operators pick up work; pay in RENDER.",
            "open_source": "Partially — client/integration tooling published; core orchestration not a single canonical OSS repo (FLAG: verify license scope).",
            "decentralization_model": "P2P marketplace ('Airbnb of GPU compute') with Burn-and-Mint Equilibrium (BME) tokenomics — job payments burned, operator rewards minted, tying supply to usage.",
            "notable": "Originated from OTOY; one of the earliest GPU DePINs. Integrations with Runway, Luma, Stability, Black Forest Labs.",
            "source": "https://rendernetwork.com/ ; https://know.rendernetwork.com/ ; https://messari.io/report/understanding-the-render-network-a-comprehensive-overview"
        },
        {
            "id": "io-net",
            "network": "io.net",
            "category": "Decentralized GPU cloud / DePIN (AI clusters)",
            "provides": "AI-ready GPU clusters (up to ~10,000 GPUs) aggregated from independent suppliers; inference + training.",
            "token": "IO (SPL token on Solana)",
            "chain": "Solana (settlement); orchestration via the Ray distributed-computing framework",
            "how_you_consume": "Open IO Cloud, specify GPU type/count/region/duration; protocol assembles a cluster. Submit Ray jobs as if on a private cluster. Pay in USDC/fiat/crypto (converted to IO); suppliers paid in IO. Run IO Worker to supply a GPU.",
            "open_source": "Partially open (FLAG: 'open-source AI infrastructure' positioning; verify which components are licensed OSS).",
            "decentralization_model": "DePIN aggregating underutilized accelerators worldwide; Ray-native orchestration abstracts multi-owner geography; supplier rewards in IO.",
            "notable": "Claims ~50-70% below AWS pricing (project claim — verify). Ray (UC Berkeley RISELab) is the orchestration core.",
            "source": "https://io.net/ ; https://io.net/docs/guides/coin/io-coin ; https://messari.io/report/understanding-io-net-a-comprehensive-overview"
        },
        {
            "id": "bittensor",
            "network": "Bittensor",
            "category": "Decentralized machine-intelligence network (incentivized subnets)",
            "provides": "A market for machine intelligence — subnets offer inference, training, data, analytics, serverless AI compute, etc. (not a raw GPU-rental marketplace; you buy/sell intelligence/services).",
            "token": "TAO (+ per-subnet dynamic TAO / alpha tokens)",
            "chain": "Subtensor — Bittensor's own Substrate-based L1",
            "how_you_consume": "Consume services via a subnet's API/apps; miners contribute models/compute, validators score quality (Yuma consensus / proof-of-intelligence). TAO emissions split miners/validators.",
            "open_source": "Yes (Opentensor; github.com/opentensor)",
            "decentralization_model": "Specialized incentivized subnets; 'dynamic TAO' routes emissions by subnet demand; quality measured by ML output, not raw FLOPs.",
            "notable": "Flagship 'decentralized AI' token; distinct model — incentivizes intelligence production rather than renting GPUs by the hour. Frame carefully: overlaps but is NOT a like-for-like GPU marketplace.",
            "source": "https://docs.bittensor.com/ ; https://metalamp.io/magazine/article/bittensor-overview-of-the-protocol-for-decentralized-machine-learning"
        },
        {
            "id": "golem",
            "network": "Golem Network",
            "category": "General-purpose decentralized compute marketplace",
            "provides": "CPU and GPU compute for arbitrary tasks (rendering, batch compute, GPU rental); requestor describes task, provider executes.",
            "token": "GLM (ERC-20; fixed 1,000,000,000 supply, no inflation)",
            "chain": "Ethereum L1 + L2 (Polygon, Arbitrum) for cheaper settlement",
            "how_you_consume": "Run/connect to the Yagna daemon; requestors post tasks (CPU/RAM/GPU spec, deadline), providers bid, execute, return results, paid on-chain pay-as-you-go.",
            "open_source": "Yes — Yagna is open-source Rust (github.com/golemfactory/yagna)",
            "decentralization_model": "P2P marketplace with optional Byzantine-fault-tolerant redundancy (run a job on N providers, trust the majority) to catch faulty/dishonest nodes.",
            "notable": "One of the oldest (2016-era) decentralized-compute projects; multi-chain settlement; fixed-supply token.",
            "source": "https://github.com/golemfactory/yagna/blob/master/README.md ; https://www.golem.network/"
        },
        {
            "id": "spheron",
            "network": "Spheron Network",
            "category": "Decentralized compute (GPU + CPU) marketplace",
            "provides": "On-demand GPU/CPU — 'Secure GPUs' (data-center providers) and 'Community GPUs' (consumer hardware via Fizz Nodes); LLM/AI workload deployment.",
            "token": "SPON",
            "chain": "Base (Ethereum L2); launched 25 Jul 2025",
            "how_you_consume": "Buy SPON credits, deploy containerized workloads to Provider Nodes (enterprise) or Fizz Nodes (community); smart contracts formalize leases and settle payment on Base.",
            "open_source": "Yes (github.com/spheronfdn; foundation-governed org for production code)",
            "decentralization_model": "Two-tier supply: Provider Nodes (data-center grade) + lightweight Docker-based Fizz Nodes on personal machines; rewards proportional to utilized resources.",
            "notable": "Fizz-node model directly enables home/SMB hardware participation. Newer token (TGE Jul 2025) — higher volatility (FLAG). ~25,000+ Fizz Nodes reported early 2026 (verify).",
            "source": "https://docs.spheron.ai/core-concepts/fizz ; https://blog.spheron.network/spon-tokenomics-designed-for-real-contributors-and-long-term-value ; https://messari.io/report/understanding-spheron-a-comprehensive-overview"
        },
        {
            "id": "gensyn",
            "network": "Gensyn",
            "category": "Decentralized ML training/compute protocol",
            "provides": "Coordination + verification for distributed ML training across untrusted hardware (off-chain execution, on-chain coordination/verification via a Reproducible Execution Environment).",
            "token": "AI (ticker; token sale 15-20 Dec 2025, ~3% / 300M offered via English auction)",
            "chain": "A custom Ethereum rollup dedicated to ML",
            "how_you_consume": "Submit training/verification workloads; providers execute off-chain, checkpoints/rewards settle on-chain. First app 'Delphi' (AI-settled prediction markets) live on testnet.",
            "open_source": "Research/protocol components public (FLAG: verify license scope of core repos).",
            "decentralization_model": "Off-chain execution + on-chain coordination; persistent on-chain identity for reputation; cryptographic verification of untrusted computation.",
            "notable": "STATUS FLAG: Public testnet since Mar 2025; mainnet PENDING as of mid-2026 (token sold but full economic mainnet not confirmed live). Backed by Protocol Labs ecosystem. Mark as 'pre-mainnet / emerging' in the row.",
            "source": "https://docs.gensyn.ai/testnet ; https://docs.gensyn.ai/litepaper ; https://www.gensyn.ai/"
        },
        {
            "id": "nosana",
            "network": "Nosana",
            "category": "Decentralized GPU compute marketplace (AI inference focus)",
            "provides": "On-demand GPU compute optimized for AI inference (and training/rendering); containerized job submission.",
            "token": "NOS (SPL token on Solana)",
            "chain": "Solana (smart-contract matching + payment settlement)",
            "how_you_consume": "Package workloads into standardized containers, submit to the marketplace; Solana smart contracts match supply/demand and pay providers in NOS on verified completion. GPU owners register rigs to supply.",
            "open_source": "Yes (open-source cloud-compute marketplace)",
            "decentralization_model": "P2P grid of geographically dispersed GPUs for low-latency inference; NOS staking by providers; jobs verified before payout.",
            "notable": "Mainnet launched 14 Jan 2025; ~985k jobs processed in 2024; inference-cost positioning ~2.5x cheaper (project claim — verify). Solana-native, fits the 'consumer GPU contributes' narrative.",
            "source": "https://nosana.com/ ; https://nosana.com/blog/wrapped_2025/ ; https://solanacompass.com/projects/nosana"
        },
        {
            "id": "aethir",
            "network": "Aethir",
            "category": "Enterprise decentralized GPU cloud (DePIN)",
            "provides": "Enterprise-grade GPU containers (NVIDIA H100/H200/GB200) for AI training/inference and cloud gaming; plus Aethir Edge home devices.",
            "token": "ATH",
            "chain": "Arbitrum (Ethereum L2) — FLAG: some aggregators list 'Ethereum' loosely; ATH contract is on Arbitrum (verify at build).",
            "how_you_consume": "Book compute with ATH; GPU Cloud Hosts supply hardware; Checker Nodes verify service quality and earn ATH; enterprise contracts for sustained workloads.",
            "open_source": "Not a primarily open-source stack (FLAG: enterprise/commercial; verify).",
            "decentralization_model": "Pooled GPU supply (data centers + individual Edge operators) matched to AI/gaming demand; 90k+ Checker Nodes police quality; revenue-split with providers.",
            "notable": "Largest-scale enterprise compute DePIN positioning (440k+ containers, 94 countries, ~$166M ARR Q3 2025 per project — verify figures). Enterprise contracts distinguish it from pure spot marketplaces.",
            "source": "https://aethir.com/ ; https://coinmarketcap.com/currencies/aethir/ ; https://ecosystem.aethir.com/"
        },
        {
            "id": "theta-edgecloud",
            "network": "Theta EdgeCloud",
            "category": "Hybrid decentralized edge + cloud GPU marketplace",
            "provides": "Containerized GPU compute (AI inference/training, video transcoding) blending cloud GPUs (A100/V100) with community edge nodes.",
            "token": "THETA (governance/stake) + TFUEL (gas/payments)",
            "chain": "Theta blockchain (with Pulse subchain for EdgeCloud transparency)",
            "how_you_consume": "Deploy containerized workloads via EdgeCloud; orchestration routes between cloud GPUs and 30,000+ edge nodes; node operators paid in TFUEL (monthly payouts).",
            "open_source": "Protocol components public (FLAG: verify which EdgeCloud parts are OSS).",
            "decentralization_model": "Hybrid: enterprise cloud GPUs + community edge nodes under an orchestration layer; dual-token (THETA stake / TFUEL pay).",
            "notable": "Evolved from decentralized video streaming/CDN into AI GPU compute; large existing edge-node base (10k+ contributors). Heritage = video, now pivoting to AI.",
            "source": "https://www.thetatoken.org/ ; https://docs.thetatoken.org/docs/what-is-theta-network ; https://docs.thetatoken.org/docs/theta-edgecloud-client-guide"
        },
        {
            "id": "flux",
            "network": "Flux",
            "category": "Decentralized cloud infrastructure (general compute) + GPU/AI marketplace",
            "provides": "CPU/RAM/storage app hosting on FluxNodes (Docker via FluxOS); GPU/AI/ML/rendering via FluxEdge marketplace.",
            "token": "FLUX",
            "chain": "Flux's own PoW blockchain (FluxOS orchestration layer; collateral-locked nodes)",
            "how_you_consume": "Deploy Docker apps to FluxNodes through FluxOS; use FluxEdge for compute-heavy GPU jobs; node operators lock FLUX collateral to provide capacity.",
            "open_source": "Yes (open-source stack; FluxOS Linux-based)",
            "decentralization_model": "Permissionless collateral-staked node network (~10,000 nodes, 66+ countries, 560+ operators) eliminating single points of failure; tiered node collateral.",
            "notable": "One of the most decentralized by independent-operator count; long-running PoW + cloud hybrid. Strong fit for the sovereignty narrative (run your own node, no AWS).",
            "source": "https://runonflux.com/ ; https://docs.runonflux.com/fluxnodes/what-are-fluxnodes/ ; https://docs.runonflux.com/fluxcloud/introduction/"
        },
        {
            "id": "prime-intellect",
            "network": "Prime Intellect",
            "category": "Decentralized AI training protocol (peer-to-peer)",
            "provides": "Globally distributed model TRAINING across heterogeneous, permissionless compute; framework + orchestration (workers, validators, ElasticDeviceMesh).",
            "token": "None confirmed live as of mid-2026 (FLAG: open protocol / research org; verify any token at build).",
            "chain": "Protocol coordination layer (on-chain identity for compute contribution; verify specifics).",
            "how_you_consume": "Contribute heterogeneous compute permissionlessly to training runs, or use the platform ('Lab') to train your own models; orchestration coordinates workers/validators across the internet.",
            "open_source": "Yes (github.com/PrimeIntellect-ai/protocol — peer-to-peer compute/intelligence network)",
            "decentralization_model": "Fault-tolerant globally distributed training (ElasticDeviceMesh manages dynamic process groups over the internet); anyone can join a run.",
            "notable": "Proof points: INTELLECT-1 (10B, first decentralized LLM training run at scale) and INTELLECT-2 (32B globally distributed RL). Backed by OpenAI founding members / Founders Fund. STATUS FLAG: research/early — include as 'emerging, token TBD'.",
            "source": "https://www.primeintellect.ai/ ; https://github.com/PrimeIntellect-ai/protocol ; https://www.primeintellect.ai/blog/intellect-2"
        }
    ]
}