Payments Blockchain Stellar Hits Milestone 6245

Stellar, the open source, community-owned cross-asset payment framework has achieved the milestone of 1,000,000 accounts on its network. This was revealed in a tweet posted by OrbitLens posted on Monday, August 27.

Initially modelled and based and Ripple, Stellar has the goal of disrupting finance in three different ways simultaneously. It offers cross-asset transfer of value similar to that of Ethereum, which enables it host ICOs, although it supports a lower number of software types. The ability to facilitate exchanges between fiat and crypto makes it one of the very few options for ICOs alongside Ethereum.

Unlike Ethereum, Stellar offers extremely low fees for all transactions (0.00001 lumens) and it offers transaction speeds that are comparable to that of Ripple, making it one of the fastest payment systems in existence.

Stellar thus competes favorably against Ethereum, Bitcoin and Ripple, offering a superfast cryptocurrency-based payment system and a cross-asset transfer framework all in one package. For many investors, this nexus of functionality has made Stellar’s Lumens cryptocurrency one of the most exciting crypto assets to invest in.

Unlike Ripple, Stellar’s platform is completely open-source and decentralized, leaving only Stellar.org – Stellar’s supporting organisation – as a centralized entity in the entire Stellar ecosystem. The market has rewarded this mix of both centralized and decentralized worlds, with Stellar experiencing steady growth from $0.003 at its launch on August 5, 2014, to $0.22 on August 28, 2018.

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Skywork-Reward-V2: Leading the New Milestone for Open-Source Reward Models 570

In September 2024, Skywork first open-sourced the Skywork-Reward series models and related datasets. Over the past nine months, these models and data have been widely adopted by the open-source community for research and practice, with over 750,000 cumulative downloads on the HuggingFace platform, helping multiple frontier models achieve excellent results in authoritative evaluations such as RewardBench.

On July 4, 2025, Skywork continues to open-source the second-generation reward models – the Skywork-Reward-V2 series, comprising 8 reward models based on different base models of varying sizes, with parameters ranging from 600 million to 8 billion. These models have achieved top rankings across seven major mainstream reward model evaluation benchmarks.

Skywork-Reward-V2 Download Links
HuggingFace: https://huggingface.co/collections/Skywork/skywork-reward-v2-685cc86ce5d9c9e4be500c84
GitHub: https://github.com/SkyworkAI/Skywork-Reward-V2
Technical Report: https://arxiv.org/abs/2507.01352

Reward models play a crucial role in the Reinforcement Learning from Human Feedback (RLHF) process. In developing this new generation of reward models, we constructed a hybrid dataset called Skywork-SynPref-40M, containing a total of 40 million preference pairs.

To achieve large-scale, efficient data screening and filtering, Skywork specially designed a two-stage human-machine collaborative process that combines high-quality human annotation with the scalable processing capabilities of models. In this process, humans provide rigorously verified high-quality annotations, while Large Language Models (LLMs) automatically organize and expand based on human guidance.

Based on the above high-quality hybrid preference data, we developed the Skywork-Reward-V2 series, which demonstrates broad applicability and excellent performance across multiple capability dimensions, including general alignment with human preferences, objective correctness, safety, resistance to style bias, and best-of-N scaling capability. Experimental validation shows that this series of models achieved the best performance on seven mainstream reward model evaluation benchmarks.

01 Skywork-SynPref-40M: Human-Machine Collaboration for Million-Scale Human Preference Data Screening

Even the most advanced current open-source reward models still perform inadequately on most mainstream evaluation benchmarks. They fail to effectively capture the subtle and complex characteristics of human preferences, particularly when facing multi-dimensional, multi-level feedback.

Additionally, many reward models tend to excel on specific benchmark tasks but struggle to transfer to new tasks or scenarios, exhibiting obvious “overfitting” phenomena. Although existing research has attempted to improve performance through optimizing objective functions, improving model architectures, and recently emerging Generative Reward Models, the overall effectiveness remains quite limited.

We believe that the current fragility of reward models mainly stems from the limitations of existing preference datasets, which often have limited coverage, mechanical label generation methods, or lack rigorous quality control.

Therefore, in developing the new generation of reward models, we not only continued the first generation’s experience in data optimization but also introduced more diverse and larger-scale real human preference data, striving to improve data scale while maintaining data quality.

Consequently, Skywork proposes Skywork-SynPref-40M – the largest preference hybrid dataset to date, containing a total of 40 million preference sample pairs. Its core innovation lies in a “human-machine collaboration, two-stage iteration” data selection pipeline.

Stage 1: Human-Guided Small-Scale High-Quality Preference Construction

The team first constructed an unverified initial preference pool and used Large Language Models (LLMs) to generate preference-related auxiliary attributes such as task type, objectivity, and controversy. Based on this, human annotators followed a strict verification protocol and used external tools and advanced LLMs to conduct detailed reviews of partial data, ultimately constructing a small-scale but high-quality “gold standard” dataset as the basis for subsequent data generation and model evaluation.

Subsequently, we used preference labels from the gold standard data as guidance, combined with LLM large-scale generation of high-quality “silver standard” data, thus achieving data volume expansion. The team also conducted multiple rounds of iterative optimization: in each round, training reward models and identifying model weaknesses based on their performance on gold standard data; then retrieving similar samples and using multi-model consensus mechanisms for automatic annotation to further expand and enhance silver standard data. This human-machine collaborative closed-loop process continues iteratively, effectively improving the reward model’s understanding and discrimination of preferences.

Stage 2: Fully Automated Large-Scale Preference Data Expansion

After obtaining preliminary high-quality models, the second stage turns to automated large-scale data expansion. This stage no longer relies on manual review but uses trained reward models to perform consistency filtering:

  • If a sample’s label is inconsistent with the current optimal model’s prediction, or if the model’s confidence is low, LLMs are called to automatically re-annotate;
  • If the sample label is consistent with the “gold model” (i.e., a model trained only on human data) prediction and receives support from the current model or LLM, it can directly pass screening.

Through this mechanism, the team successfully screened 26 million selected data points from the original 40 million samples, achieving a good balance between preference data scale and quality while greatly reducing the human annotation burden.

02 Skywork-Reward-V2: Matching Large Model Performance with Small Model Size

Compared to the previous generation Skywork-Reward, Skywork newly released Skywork-Reward-V2 series provides 8 reward models trained based on Qwen3 and LLaMA3 series models, with parameter scales covering from 600 million to 8 billion.

On seven mainstream reward model evaluation benchmarks including Reward Bench v1/v2, PPE Preference & Correctness, RMB, RM-Bench, and JudgeBench, the Skywork-Reward-V2 series comprehensively achieved current state-of-the-art (SOTA) levels.

Compensating for Model Scale Limitations with Data Quality and Richness

Even the smallest model, Skywork-Reward-V2-Qwen3-0.6B, achieves overall performance nearly matching the previous generation’s strongest model, Skywork-Reward-Gemma-2-27B-v0.2, on average. The largest scale model, Skywork-Reward-V2-Llama-3.1-8B, achieved comprehensive superiority across all mainstream benchmark tests, becoming the currently best-performing open-source reward model overall.

Broad Coverage of Multi-Dimensional Human Preference Capabilities

Additionally, Skywork-Reward-V2 achieved leading results in multiple advanced capability evaluations, including Best-of-N (BoN) tasks, bias resistance capability testing (RM-Bench), complex instruction understanding, and truthfulness judgment (RewardBench v2), demonstrating excellent generalization ability and practicality.

Highly Scalable Data Screening Process Significantly Improves Reward Model Performance

Beyond excellent performance in evaluations, the team also found that in the “human-machine collaboration, two-stage iteration” data construction process, preference data that underwent careful screening and filtering could continuously and effectively improve reward models’ overall performance through multiple iterative training rounds, especially showing remarkable performance in the second stage’s fully automated data expansion.

In contrast, blindly expanding raw data not only fails to improve initial performance but may introduce noise and negative effects. To further validate the critical role of data quality, we conducted experiments on a subset of 16 million data points from an early version. Results showed that training an 8B-scale model using only 1.8% (about 290,000) of the high-quality data already exceeded the performance of current 70B-level SOTA reward models. This result again confirms that the Skywork-SynPref dataset not only leads in scale but also has significant advantages in data quality.

03 Welcoming a New Milestone for Open-Source Reward Models: Helping Build Future AI Infrastructure

In this research work on the second-generation reward model Skywork-Reward-V2, the team proposed Skywork-SynPref-40M, a hybrid dataset containing 40 million preference pairs (with 26 million carefully screened pairs), and Skywork-Reward-V2, a series of eight reward models with state-of-the-art performance designed for broad task applicability.

We believe this research work and the continued iteration of reward models will help advance the development of open-source reward models and more broadly promote progress in Reinforcement Learning from Human Feedback (RLHF) research. This represents an important step forward for the field and can further accelerate the prosperity of the open-source community.

The Skywork-Reward-V2 series models focus on research into scaling preference data. In the future, the team’s research scope will gradually expand to other areas that have not been fully explored, such as alternative training techniques and modeling objectives.

Meanwhile, considering recent development trends in the field – reward models and reward shaping mechanisms have become core components in today’s large-scale language model training pipelines, applicable not only to RLHF based on human preference learning and behavior guidance, but also to RLVR including mathematics, programming, or general reasoning tasks, as well as agent-based learning scenarios.

Therefore, we envision that reward models, or more broadly, unified reward systems, are poised to form the core of AI infrastructure in the future. They will no longer merely serve as evaluators of behavior or correctness, but will become the “compass” for intelligent systems navigating complex environments, helping them align with human values and continuously evolve toward more meaningful goals.

Additionally, Skywork released the world’s first deep research AI workspace agents in May, which you can experience by visiting: skywork.ai

Vouch and Toku Partner to Deliver Streamlined Risk and Compliance Infrastructure for Token Issuers 1040

Vouch, the leading provider of business insurance for high-growth companies, and Toku, the leading crypto-native employment and token compensation solution provider, today announced a strategic partnership to deliver streamlined risk and compliance infrastructure for crypto-native companies and token issuers.

Together, Vouch and Toku are addressing a critical market need: helping blockchain teams navigate risk management, compensation, and compliance in a fast-changing global regulatory environment.

Bridging Insurance and Token Compliance

Vouch will offer access to customized insurance products for token projects, covering emerging risk areas like smart contract security, digital asset custody, and regulatory enforcement actions.

“The rapidly evolving regulatory landscape presents unique challenges for crypto and Web3 companies,” said Travis Hedge, CRO and Co-founder of Vouch. “By partnering with Toku, we’re combining our specialized insurance solutions with their expertise in token events and compliance to create a safety net that empowers blockchain innovation while managing risk.”

Toku complements this with token-native employment and tax infrastructure built for token generation events, offshore foundations, and globally distributed teams.

Helping Web3 Teams Build with Confidence

Through this partnership, Vouch and Toku will provide ongoing education, resources, and strategic support to help founders and operators stay ahead of evolving legal and regulatory expectations.

“Crypto companies operate at the intersection of traditional finance and new onchain technology,” said Ken O’Friel, CEO and Co-founder of Toku. “Our partnership with Vouch creates the unified compliance and risk infrastructure these companies need to scale with confidence.”

Regulatory pressure is rising fast.

Token projects face unique legal and operational risks. Smart contracts, global contributors, and offshore entities don’t fit neatly into legacy insurance and HR frameworks. Vouch and Toku offer an integrated, transparent foundation for crypto teams that meets the moment and sets a new standard for responsible crypto company building.

About Vouch

Vouch is the tech-enabled insurance provider for high-growth companies, with access to 80+ insurance carriers and bespoke coverage for emerging risks through our MGA, Corix Insurance. Backed by industry experts and top-tier investors, Vouch provides fast, tailored, and founder-friendly insurance solutions to help startups manage risk at every stage. With a tech-driven approach and deep expertise in emerging risks, Vouch is redefining how entrepreneurs protect their futures. For more information, visit vouch.us.

About Toku

Toku is the global platform for token and stablecoin payroll. From employment and payroll to tax and benefits, Toku enables any company to pay their team in any token or stablecoin using their existing payroll systems. Learn more at www.toku.com.

CPSP:How Artificial Intelligence in 2025 Helps You Achieve Financial Freedom? 786

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About CPSP

Founded in 2023 and headquartered in New York, USA, CPSP is a company specializing in AI GPUs. Committed to designing efficient, low-power data processing and interconnection chips, we serve high-load scenarios like AI and big data.

Through our GPU computing power crowdfunding projects, we help clients invest in high-performance AI servers (such as RTX 5090/H200), which are used for AI model training and enterprise leasing to generate stable returns.

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CPSP project investment support: BTC / ETH / USDT / USDC

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  • 1-day contract term: Get $51.5 (principal + profit) with full principal refund.

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Conclusion: Why Choose cpspai.com?

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This revenue sharing mechanism breaks through traditional technical barriers, precisely allocating the stable cash flow generated from data center server leasing to investors’ accounts in proportion. It allows you to capture both the dividends of hardware iteration and the growth value of the computing power economy during the AI industry’s boom, sharing the era dividends of global AI technology commercialization through a quantifiable revenue model.

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R0AR Announces R0ARchain: A Purpose-Built Layer 2 Accelerating Ethereum 1339

In an ecosystem flooded with performance-optimized chains, R0AR has announced R0ARchain, a custom Layer 2 blockchain designed to serve as the backbone of its unified DeFi, NFT and AI ecosystem. Built on the Optimism OP Stack, R0ARchain extends Ethereum’s security guarantees while eliminating the complexity, fragmentation and inefficiencies that plague most multichain user journeys.

Built for Everyday Crypto

R0ARchain consolidates core web3 functions such as staking, liquidity, NFTs and real-world asset issuance into a single execution environment, while offering lower fees, faster finality and seamless integration with OP-based ecosystems like Base and Zora.

From genesis, R0ARchain supports:

  • Native token staking and time-based APY rewards
  • Built-in AI compatibility for wallet-driven automations
  • NFT functionality tied to access, identity, and on-chain reputation
  • Embedded support for tokenized real-world assets (RWAs) using ERC-3463

All features operate within a unified environment with no bridges, no third-party dashboards and no contract hopping required.

«We’re not launching a chain for the sake of it, R0ARchain exists because people are tired of navigating dashboards, jumping bridges, and chasing fragmented narratives just to complete a single transaction. We just built one home for it all where users can move, earn, and build without sacrificing privacy or control». – Dustin Hedrick, Co-Founder & CTO

Designed for Human-Centric Onboarding

While most chains focus on developer performance, R0ARchain prioritizes human usability first. Once a wallet is connected, users can manage assets, interact with modules, and claim rewards through a unified dashboard with no external tools or extra steps required. This streamlined experience reduces errors, enhances safety and simplifies onboarding especially for new users entering Web3.

Developer-Ready from Day One

For developers, R0ARchain offers a familiar EVM-compatible environment with:

  • Support for Hardhat, Remix, and other standard toolkits
  • Pre-integrated modules for staking, NFT logic and AI hooks
  • Gas-efficient contract execution for complex, composable applications

For institutions, it lays the foundation for compliant, auditable deployment of tokenized assets via the upcoming R0AR Portal, which includes integrated scoring, identity layers and asset tracking features.

AI Integration from the Start

Unlike platforms that retro-fit AI integrations, R0ARchain was built from the ground up for on-chain AI agents. These agents can read wallet activity, staking history, and NFT metadata in real time enabling automated actions, dynamic UIs and predictive personalization.

All logic is native, transparent and composable with no external APIs or centralized compute layers required.

Real-World Assets Ready by Design

With rising demand for real-world asset tokenization, R0ARchain integrates native ERC-3463 support, a standard built for representing off-chain value on-chain. This includes scoring, compliance tooling, and real-time tracking. Rather than chasing short-term trends, R0ARchain focuses on durable, regulated ownership without compromising Ethereum compatibility or decentralization.

Extending the Possibilities of Ethereum

Instead of reinventing the wheel, R0ARchain anchors to Ethereum for security and finality, while expanding its day-to-day capabilities. With a focus on staking, NFTs, AI interaction, and RWAs, it delivers real-world utility without fragmenting the user or developer experience.

By building on the OP Stack, R0ARchain inherits Ethereum’s trust while unlocking better uptime, lower risk, and consistent UX across all users.

Explore the ecosystem: www.r0ar.io/r0archain

About R0AR

R0AR is a next-gen DeFi ecosystem built on a custom Layer 2 chain using the Optimism OP stack. It unifies self-custody, AI-powered trading, staking, NFTs and real-world asset support into one seamless platform. Powered by the $1R0AR token and governed by its community, R0AR is engineered to unlock secure, intelligent and sovereign finance for everyone.

Learn more at r0ar.io.

Ethereum’s Pectra upgrade triggers MEV surge: ZenMEV maximizes staking rewards 1862

Ethereum’s recent Pectra upgrade, the network’s biggest update since the Merge, is changing the game for crypto stakers. Activated on May 7, 2025, this feature-packed upgrade makes Ethereum staking easier, faster, and more rewarding. It introduced key improvements like EIP-7251, which raised the validator stake limit from 32 ETH to 2048 ETH, letting stakers combine and top up validators for compounded rewards. At the same time, EIP-6110 slashed deposit wait times from ~12 hours down to about 13 minutes by moving staking deposits on-chain. Additionally, EIP-7002 brought unprecedented flexibility by enabling on-chain partial withdrawals and quick validator exits.

These changes have supercharged the staking landscape. Larger validator balances mean fewer nodes can carry more weight, boosting the odds of proposing blocks and capturing more MEV (Maximal Extractable Value). In short, Pectra unlocked a surge in MEV activity and created lucrative new opportunities for anyone staking ETH. Industry observers note that Pectra’s enhancements are “enhancing MEV potential” for validators. Ethereum’s latest upgrade has effectively kicked off a gold rush for savvy stakers eager to maximize their yields.

ZenMEV: Great way to capture post-Pectra MEV

With the Pectra upgrade opening the floodgates of MEV profits, ZenMEV has quickly emerged as the go-to platform for capturing this value. ZenMEV is a fast rising staking platform optimized for capturing MEV, combining advanced technology and smart strategies to help users reap higher rewards. Unlike regular staking services which rely only on block rewards, ZenMEV unlocks extra yield by extracting MEV and returning those structural profits directly to ordinary users.

For capturing the new MEV opportunities, ZenMEV stands out in several key ways:

  • Advanced MEV technology: ZenMEV’s core strength is its Zenbot engine, an AI-driven system that scans blockchain transactions in real time. The platform efficiently processes thousands of transactions per second using deep learning models and mempool scanning techniques to spot profitable opportunities instantly. These sophisticated algorithms enable ZenMEV to accurately detect lucrative arbitrage, swaps, or price discrepancies and execute them within milliseconds for maximum gain.
  • Optimized MEV strategies: ZenMEV employs a suite of strategies to extract value that others miss. Its bots capture DeFi arbitrage, large DEX swap opportunities, and liquidation events across the Ethereum network. The platform also goes beyond Ethereum, seeking MEV on other networks like BNB Chain, Solana, and Cosmos and customizing its tactics for each chain’s unique opportunities. This broad approach means stakers enjoy a diversified stream of MEV profits across multiple ecosystems.
  • Liquidity flexibility: Thanks to Pectra’s upgrades, ZenMEV offers stakers more control over their funds. The platform supports on-chain partial withdrawals and automated exits, meaning users can access their capital or rebalance with minimal delay. ZenMEV can dynamically adjust validator stakes and reallocate funds to higher yield strategies on the fly. You can also claim your accumulated MEV rewards at any time or even compound them by restaking for even greater gains. This flexibility ensures you’re never cut off from your liquidity, even while earning high yields.
  • Ease of use: ZenMEV is built for simplicity. No specialized knowledge is required to benefit from its advanced services. The platform handles all the complex MEV processes automatically. You simply stake your assets through a straightforward web interface, and ZenMEV’s system takes care of identifying and executing profitable transactions behind the scenes. The result is enhanced returns with minimal effort, making sophisticated MEV income accessible to anyone.
  • Ethical profit sharing: ZenMEV is committed to transparency and fair profit sharing. Historically, MEV profits were an “exclusive insider game” limited to miners or bots, but ZenMEV flips that script. All MEV gains are redistributed to ZenMEV stakers transparently via smart contracts. By democratizing access to MEV revenue, ZenMEV ensures that everyday stakers get their fair share of the extra profits that used to be enjoyed only by insiders. This ethical approach builds trust and aligns ZenMEV’s success with the community’s success.

Seize the moment: Start staking with ZenMEV today

Ethereum’s Pectra upgrade has ushered in a new era of higher staking rewards, and ZenMEV is uniquely positioned to help you capitalize on it. By merging standard staking yields with bountiful MEV earnings, ZenMEV can boost your returns. Even during market downturns, ZenMEV’s strategies continue to generate income from network activity.

ZenMEV provides an institutional quality platform that is also easy to use, letting anyone tap into advanced MEV profits to amplify their staking yields. If you’re ready to ride the wave of these new opportunities, it’s simple to get started: visit the official ZenMEV website to learn more and begin staking. Join the growing community of stakers who are already enjoying higher rewards with ZenMEV’s MEV powered staking.

Huma Joins the Global Dollar Network to Advance Stablecoin Adoption on Solana 1900

Huma has officially joined the Global Dollar Network (GDN) — a coalition of leading enterprises committed to accelerating the adoption of stablecoins through aligned incentives, regulatory clarity, and global utility. Launched by Paxos and powered by Global Dollar (USDG), the network includes members such as Robinhood, Kraken, Anchorage, Nuvei, and Worldpay.

USDG is a US dollar-backed stablecoin issued by Paxos Digital Singapore and is compliant with the Monetary Authority of Singapore’s (MAS) upcoming stablecoin regulatory framework. Available on Solana, Ethereum, and other public blockchains approved by MAS, USDG supports fast, low-cost, and secure global money movement. Significantly, USDG’s preferred blockchain is Solana—chosen for its unparalleled speed, efficiency, and scalability, making it ideally suited for powering real-time financial transactions. Currently, around $3.5 to $4 billion of daily stablecoin volume already occurs on Solana, highlighting its strong adoption and capacity for supporting global-scale financial operations.

A Step Forward for PayFi

Stablecoins have become a foundational layer of programmable finance—central to the future of PayFi and global liquidity—powering use cases from real-time settlement to cross-border payments. The Global Dollar Network builds on this momentum with a model designed to strengthen and scale the PayFi ecosystem.

  • Aligned incentives: Network revenue is shared with GDN partners who mint, transact, and hold USDG.
  • Regulatory confidence: USDG is designed to comply with MAS’s forthcoming stablecoin framework, providing the trust institutions require.
  • Lower barriers to participation: Enterprises can tap into stablecoin benefits without launching their own asset.
  • Collaborative adoption: GDN fosters industry coordination to drive real-world stablecoin use cases across finance and commerce.

Erbil Karaman, Co-Founder of Huma, said “Stablecoins are ready to power global payments and fintechs, however single issuer stablecoins fail to create the network effect needed to accelerate adoption. That’s why we are so excited to be joining GDN alongside many of our existing partners and bring the PayFi movement to the masses.”

Huma’s PayFi network has already facilitated over $4.5 billion in payment-backed transactions, addressing a global market exceeding $30 trillion annually. Stablecoins, such as USDG, have become essential financial infrastructure, processing over $35 trillion in transactions in 2024 alone, underscoring their critical role in the evolving financial landscape.

Ronak Daya, Head of Product at Paxos, said “Huma joins Global Dollar Network with a proven track record in delivering liquidity and credit solutions for global payments. Their infrastructure directly strengthens our network partners’ ability to move money efficiently across borders. With significant stablecoin volume already on Solana, USDG is well positioned for adoption in remittance and money movement, an area in which Huma addresses critical challenges around liquidity and pre-funding.”

Accelerating Always-On Financial Infrastructure

As stablecoin adoption accelerates with regulatory clarity emerging with the GENIUS Act, Huma is positioned to capture the infrastructure opportunity ahead with this integration with Global Dollar Network. 

About Huma

Huma Finance is the first PayFi network accelerating global payments with instant liquidity through regulatory-compliant infrastructure. Processing over $4 billion in transactions, Huma bridges traditional and decentralised finance, enabling real-time settlement and sustainable yields backed by payment flows. As the leader in payment financing, Huma’s network addresses a total market estimated at over $30 trillion, providing an innovative payment infrastructure that transforms how money moves globally.