💡 **去中心化计算市场的兴起**：面对AI日益增长的计算需求，去中心化计算市场正成为传统中心化云服务的有力替代方案。这些平台通过去中心化机制连接GPU资源需求方与供给方，为AI模型训练、3D渲染等高算力需求提供更具成本效益的解决方案，有望重塑计算资源的分配方式。多个平台如Argentum AI、Aethir、Bittensor、Akash Network和Flux正积极探索并引领这一变革。

💰 **Argentum AI的创新模式**：Argentum AI将GPU资源视为可交易的商品，借鉴金融市场的模式，提供透明的定价和实时结算。通过链上结算和以太坊智能合约的托管功能，确保交易的安全与可靠。其创新的模型不仅解锁了闲置的计算能力，还通过与GPU制造商合作，进一步降低了计算成本，并在近期成功完成了超额认购的种子轮融资。

🚀 **Aethir的规模化优势与稳定性**：Aethir在短时间内迅速成长为Web3经济中最大的去中心化GPU云之一，拥有庞大的NVIDIA H100/H200 GPU及Aethir Edge设备。为应对加密货币支付可能带来的价格波动，Aethir引入了与美元挂钩的算法稳定币AUSD，为用户提供了更稳定的支付选择，确保了服务在价格上的可预测性。

🧠 **Bittensor的AI原生市场**：Bittensor将去中心化计算的概念推向新高度，它本身就是一个L1区块链，允许开发者通过贡献机器智能来训练AI模型，并以此获得网络原生TAO代币。其动态TAO（dTAO）升级进一步引入了子网竞争机制，通过发行各自的Alpha Token并争夺TAO奖励，形成了一个鼓励优秀AI模型和子网脱颖而出的开放市场。

🌐 **Akash Network与Flux的多元化服务**：Akash Network提供了一个开放的市场，连接闲置计算资源与灵活需求，用户可获得比传统云服务低高达80%的成本。其与NVIDIA的合作也预示着对高性能AI计算的支持。Flux则通过其独特的“有用工作量证明”模型，将FluxNodes运行真实工作负载作为网络安全的基石，并提供FluxOS、FluxEdge（GPU租赁平台）和Zelcore（多链钱包）等集成服务，构建了一个全面的去中心化计算生态。

With AI workloads becoming more computationally demanding, organisations across the globe are fast realising that traditional centralised providers aren’t always the answer to their burgeoning needs.

And while compute giants (like AWS, Google Cloud, and Azure) continue to capture the limelight when it comes to AI processing, a quieter revolution has been brewing. Enter the decentralised compute marketplace, consisting of platforms capable of connecting organisations needing GPU power with providers who have hardware to spare, via decentralised mechanisms.

These marketplaces are capable of handling real workloads like AI model training and 3D rendering at costs that traditional cloud providers can’t compete with.

In this article, we will discuss five platforms worth watching as they strive to reshape how computing resources are allocated.

1. Argentum AI

Building a liquid marketplace for computing is harder than it sounds, yet Argentum AI has tackled this challenge successfully by treating GPU resources the way financial markets treat stocks. That is, as tradable commodities with transparent pricing and real-time settlement.

The platform operates as an independent, decentralised marketplace where enterprises can post computing tasks and providers bid to execute them. However, what truly sets the platform apart is its underlying infrastructure. Argentum uses real-time bidding, verifiable execution, and blockchain-based transparent settlement to unlock idle computing capacity.

Settlement happens on-chain, with Ethereum smart contracts holding funds in escrow until jobs complete successfully. The power of this model was put on full display when, earlier in October, Argentum closed an oversubscribed pre-seed funding round led by Kraken, Banyan Ventures, Victor Morganstern, and Todd Bensen.

The platform plans to work in conjunction with GPU manufacturers to establish liquidity and monetisation plans for second-life assets, reducing its compute costs even further.

2. Aethir

Scale matters in the infrastructure realm, and Aethir has achieved the feat quickly. Within a year (following its Token Generation Event), the project has established itself as one of the largest decentralised GPU clouds in today’s Web3 economy.

The platform sources GPU capacity from tier 3 and tier 4 data centres, making them available through a distributed network of 3,000+ NVIDIA H100s and H200s, plus 62,000+ Aethir Edge cloud computing devices.To allay any pricing volatility-related concerns (especially for those looking to pay the firm in cryptocurrency), Aethir partnered recently with Maitrix to introduce AUSD, an algorithmic stablecoin pegged to the US dollar.

3. Bittensor

If decentralised compute marketplaces are disruptive, Bittensor takes it to the next level by turning AI itself into a marketplace. It does so by operating as an L1, where developers can train AI models and contribute machine intelligence in lieu of the network’s native TAO token.

Earlier this year, the Bittensor team introduced Dynamic TAO (dTAO), an upgrade that allows each subnet to issue its own Alpha Token and compete for TAO rewards through open market mechanisms (indirectly creating a competitive environment where the best AI models and subnets naturally attract more resources).

4. Akash Network

Akash takes a straightforward approach to decentralised cloud operations, in that it matches idle computing resources with flexible demand through an open marketplace. The platform allows users to rent computing resources from a global network of providers, with costs up to 80% lower than traditional cloud services’.

The network runs on Cosmos SDK and uses a Delegated Proof-of-Stake consensus mechanism where users can specify their exact requirements (like CPU, memory, storage, geographic location) and providers can bid for these requests.

In August 2025, Akash partnered with NVIDIA to deploy Blackwell B200/B300 GPUs on its decentralised cloud, targeting AI developers needing high-performance training and inference.

5. Flux

Flux combines the power of the blockchain with cloud computing through a unique Proof-of-Useful-Work v2 model, which replaces GPU mining with a node-centric system where FluxNodes running real workloads secure the network (reducing emissions by 10% annually and targeting sub-1% inflation).

The platform encompasses FluxOS (a Linux-based OS for deploying decentralised apps), FluxEdge (a GPU rental platform for AI/ML workloads), and Zelcore (a multi-chain wallet supporting 85+ blockchains).

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