Fluence-TON Agreement Eliminates "Cost Barrier" for Blockchain Entrepreneurs
- Fluence Energy joins TON's Grant Program to offer blockchain/AI developers high-performance compute credits, slashing infrastructure costs by up to 85% via AMD Zen5 and NVIDIA GPUs. - The initiative supports three credit tiers ($2k–$10k) with 6–12 month validity, targeting early-stage projects while Fluence reports $2.3B FY2025 revenue and 50% 2026 growth forecast. - Leveraging Fluence's enterprise-grade global infrastructure, the partnership optimizes compute-intensive tasks like TON node operations and
Fluence Energy Partners with TON to Empower Blockchain and AI Developers
Fluence Energy, a prominent provider of energy storage and decentralized computing solutions, has teamed up with The Open Network (TON) Grant Program to offer high-performance compute credits to blockchain and AI innovators. This collaboration is designed to help TON-based projects cut infrastructure expenses by as much as 85%, utilizing Fluence’s extensive network of enterprise-level data centers. These facilities are equipped with advanced AMD Zen5 processors and leading-edge GPUs, including NVIDIA H100 and B200 models.
This initiative comes as Fluence experiences significant financial growth, highlighted by a projected 50% increase in revenue for fiscal year 2026. The company’s strong outlook is supported by a $5.3 billion order backlog and $1.3 billion in available liquidity.
Details of the TON Grant Program
- Builder Tier: $2,000–$5,000 in compute credits
- Growth Tier: $5,000–$10,000 in compute credits
- Enterprise Tier: Custom allocations based on project needs
Credits are valid for six to twelve months and come with onboarding support to simplify deployment. Fluence’s infrastructure is tailored for demanding workloads, such as operating TON nodes, training AI models, and managing blockchain activities. Developers benefit from robust APIs and an intuitive console for scalable resource management.
Co-founder Evgeny Ponomarev highlighted the importance of the program, noting that many promising projects fail because production costs are prohibitive.
Financial Performance and Outlook
Fluence’s strategic direction is reinforced by strong financial results. In fiscal 2025, the company achieved $2.3 billion in revenue, maintained a 13.7% adjusted gross margin, and held $1.3 billion in liquidity. Although fourth-quarter earnings were impacted by production delays at the Arizona facility, management remains optimistic. For fiscal 2026, revenue is forecasted between $3.2 billion and $3.6 billion, with 85% of this target already secured—one-third expected in the first half of the year.
Expanding AI and Blockchain Infrastructure
This partnership also marks Fluence’s broader commitment to AI and blockchain infrastructure. The company’s GPU resources support both inference and large-scale AI training, while its cloudless computing model delivers cost advantages over conventional cloud providers. TON’s ecosystem, which features AI-driven payments and decentralized identity tools, is set to benefit from Fluence’s ability to manage high-volume workloads. Priority for grants is given to projects in data analytics, gaming, and on-chain payments, with Fluence matching current infrastructure spending to further boost scalability.
Driving Web3 Innovation
Industry experts believe that the collaboration between TON and Fluence could significantly speed up the development of Web3 applications. TON’s emphasis on accessibility, combined with Fluence’s robust infrastructure, is expected to attract developers looking for affordable and scalable solutions. As TON rolls out new agentic payment systems and AI tools—such as those showcased in the recent Cronos x402 PayTech Hackathon—Fluence’s compute credits are poised to play a vital role in supporting early-stage innovation and growth.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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