Falcon Finance to Launch Tokenization of AI Infrastructure GPUs in El Salvador

cryptonews.ruPublicado em 2026-08-19Última atualização em 2026-08-19

Resumo

Falcon Finance is launching a regulated real-world asset (RWA) tokenization mechanism in El Salvador. The first asset will be a tokenized forward contract on Graphics Processing Units (GPUs) to finance computational infrastructure for AI. This model aims to combine funding for AI capacity, asset tokenization, and on-chain collateralization. The initiative addresses a key issue in GPU financing: while it's a fast-growing loan category, most deals are private, making it difficult for lenders to exit before the funding term ends. Tokenization will allow the asset to be traded on secondary markets, providing liquidity. The initial structured offering is a forward contract to finance future GPU equipment deliveries, with NEAR AI as the anchor buyer and technology partner. The equipment is already contracted at a fixed price. The model has three core components: a regulated digital asset issuance, open secondary trading (including on permissionless platforms like Uniswap), and eventual use of the token as on-chain collateral. The issuance will be handled by a licensed Salvadoran entity, the same used for Tether Gold. Once sufficient liquidity is established, the tokenized GPU contract is planned to be used as collateral to mint Falcon Finance's USDf stablecoin, continuing the project's strategy of bridging traditional assets and DeFi.

The Falcon Finance project is launching a regulated RWA issuance mechanism in El Salvador, with the first asset being a tokenized forward contract for GPUs to fund computing infrastructure. The company stated that the new model aims to combine financing for AI capacity, asset tokenization, and on-chain collateral.

Falcon Finance explained that financing computing power has become one of the fastest-growing categories of asset-backed lending, yet most such deals are concluded through private syndicates. This makes it difficult for lenders to exit their position before the financing term ends.

"A lender who wants to exit before maturity has very few options," noted the Falcon Finance team.

The new structure is designed to solve this problem by tokenizing the corresponding asset and enabling its subsequent trade on the open market.

How Tokenized GPU Financing Will Work

The first issuance is currently in the structuring phase. It involves a forward contract for GPUs—a financial instrument through which raised funds will be directed to finance the supply of computing equipment.

The demand for future computing capacity already has an anchor buyer: $NEAR AI, which will also serve as the project's technology partner.

Falcon Finance noted that the equipment is already under contract, with its price locked until October. Thus, the tokenized issuance is intended to finance the equipment supply and create an asset for investors linked to future computing power production.

The model itself involves three key elements:

  • a regulated issuance of the tokenized asset;
  • open secondary trading, including on permissionless platforms;
  • the ability to use the asset as on-chain collateral once sufficient liquidity is established.

The issuance will be carried out through NOTA S.A.S. de C.V. (PSAD-0088), a company licensed under El Salvador's digital asset issuance legislation. Falcon Finance noted that Tether Gold is issued under this same regime.

The tokenized asset is planned to be made available for trading on open platforms, including Uniswap. Once it demonstrates sufficient trading volume and liquidity, it is planned to be used as collateral to mint the $USDf stablecoin within Falcon Finance.

Recall that the new product continues Falcon Finance's strategy of integrating traditional assets and infrastructure into DeFi. In October 2025, the project integrated Tether Gold (XAUT), making it available as collateral for minting $USDf.

Meanwhile, tokenization is reaching a new level: for instance, commodity companies have focused on issuing tokens backed by metals that have not yet been mined. This approach was chosen, in particular, by Datavault AI, which is traded on Nasdaq.

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Perguntas relacionadas

QWhat is Falcon Finance launching in El Salvador and what is the first asset to be tokenized?

AFalcon Finance is launching a regulated mechanism for issuing Real World Assets (RWAs) in El Salvador. The first tokenized asset will be a forward contract on Graphics Processing Units (GPUs) to fund computational infrastructure.

QWhat problem does Falcon Finance's new tokenization model aim to solve for AI infrastructure lenders?

AThe model aims to solve the liquidity problem for lenders funding AI computing power. Currently, most deals are through private syndicates, making it difficult for lenders to exit their positions before the funding term ends. Tokenization allows the asset to be traded on an open secondary market, providing an exit option.

QWho is the anchor buyer for the future computing power in this first tokenized GPU forward contract?

AThe anchor buyer for the future computing power is $NEAR AI, which is also the technological partner for the project.

QThrough which licensed entity will the tokenized asset be issued, and what is another well-known asset issued under this same regime?

AThe tokenized asset will be issued through NOTA S.A.S. de C.V. (PSAD-0088), a company licensed under El Salvador's digital asset issuance legislation. Tether Gold (XAUT) is another asset issued under this same regulatory regime.

QWhat are the three key elements of the tokenization model proposed by Falcon Finance?

AThe three key elements are: 1) A regulated issuance of the tokenized asset. 2) Open secondary trading, including on permissionless platforms. 3) The ability to use the asset as on-chain collateral for minting the $USDf stablecoin once sufficient liquidity is established.

Leituras Relacionadas

RWA Tokenization Enters the Next Phase: What is the Truly Time-Consuming Advantage to Build?

The article argues that as tokenization frameworks for Real-World Assets (RWA) mature, the ability to issue assets is becoming less of a competitive advantage. The focus is shifting to what happens *after* issuance: which RWA operations can build enduring trust, maintain stable operations, and remain integrated into the financial ecosystem over the long term. The piece introduces the concept of a **Reserve Layer**—infrastructure that connects tokenized assets to the necessary verification, liquidity, and operational systems for on-chain finance. For an asset to serve as a reliable reserve (e.g., short-term U.S. Treasuries, gold), it needs predictable value, standardized features, deep markets, and observable pricing. However, the true, hard-to-replicate advantage lies not just in the underlying asset but in the **operational track record** built over time. This includes consistent reserve management, independent audits, successful redemptions, maintained liquidity, and protocol integrations. Each successful operation adds evidence, creating a reinforcing cycle: more evidence builds stronger institutional confidence, leading to wider distribution, deeper liquidity, and more use cases as collateral. The article presents a framework combining two dimensions: an asset's suitability as a reserve and the issuer's operational capability. The most sustainable model combines **high-quality reserve assets with strong, long-term operational discipline**. A critical blind spot is an asset with high reserve suitability (like gold) issued by an entity with a limited operational track record; the quality of the infrastructure is separate from the quality of the asset itself. In conclusion, the next phase of RWA will be defined by participants who can pair appropriate reserve assets with the operational rigor to support them through market cycles, thereby transforming tokenized RWAs into durable financial infrastructure.

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