Tether’s QVAC Unveils BitNet LoRa Framework, Bringing Large-Scale AI Training to Consumer GPUs and Smartphones
Tether is stepping deeper into artificial intelligence with a new release that could significantly lower the barrier to training large language models. The company, best known for issuing Tether (USDT), has introduced a framework within its QVAC platform that enables AI models to be fine-tuned on everyday consumer devices—including smartphones and non-Nvidia GPUs. Key Takeaways A Shift Away From Expensive AI Infrastructure Training modern AI systems has long required access to specialized hardware, particularly GPUs from Nvidia, or costly cloud infrastructure. Tether’s latest development aims to change that dynamic. Built on Microsoft BitNet and combined with LoRA (Low-Rank Adaptation) techniques, the framework dramatically reduces memory and compute requirements. According to the company, this allows models with up to 1 billion parameters to be fine-tuned on smartphones in under two hours, with smaller models completing training in minutes. The system is designed to run across a wide range of hardware, including chips from Intel, AMD, and Apple, as well as mobile GPUs from Qualcomm and Apple devices. In benchmark tests, Tether engineers reported that a 125 million parameter model could be trained in roughly 10 minutes on a flagship Android device, while a 1 billion parameter model completed similar tasks in just over an hour on both Android and iOS devices. The team also pushed the limits further, demonstrating that models as large as 13 billion parameters could be fine-tuned on a smartphone. Efficiency Gains Through 1-Bit Architecture A key driver behind this performance is BitNet’s 1-bit model design, which significantly cuts memory usage compared to traditional 16-bit systems. Tether claims its approach can reduce VRAM requirements by as much as 77.8%, freeing up resources for larger models to run on limited hardware. The framework also improves inference speeds. On mobile GPUs, BitNet-based models reportedly run between two and eleven times faster than CPUs, suggesting that modern smartphones are increasingly capable of handling workloads once reserved for data centers. Another notable milestone is the framework’s compatibility with non-Nvidia hardware for LoRA fine-tuning — something that has historically been limited to Nvidia’s ecosystem. This broadens access for developers working with alternative chipsets and consumer-grade devices. Decentralizing AI Development Tether is positioning the release as part of a broader push toward decentralizing AI. By enabling on-device training, the system allows sensitive data to remain local rather than being sent to centralized servers. This opens the door to federated learning, where models can be updated across distributed devices without compromising privacy. Paolo Ardoino, CEO of Tether, emphasized the broader implications of this shift: He added that reliance on centralized infrastructure risks slowing innovation and concentrating power, while on-device capabilities could make AI development more inclusive. Crypto Firms Double Down on AI Tether’s announcement reflects a broader trend across the crypto sector, where companies are increasingly investing in AI infrastructure and high-performance computing. Mining firms, in particular, have begun repurposing their hardware for AI workloads. Cipher Mining recently secured a multibillion-dollar agreement tied to AI data center capacity, while Core Scientific obtained a major credit facility to expand its infrastructure. Meanwhile, HIVE Digital Technologies has reported rising revenues driven in part by AI-focused operations. At the same time, AI agents — autonomous programs capable of executing transactions and interacting with services — are gaining traction within blockchain ecosystems. Platforms like Coinbase and Alchemy have introduced tools that allow these agents to operate onchain, while initiatives backed by firms such as Franklin Templeton are exploring enterprise use cases. What This Means for Developers If Tether’s claims hold up under wider adoption, the implications could be significant. Developers who previously relied on expensive GPU clusters may soon be able to train and customize models locally using devices they already own. This could accelerate experimentation, particularly in regions or communities with limited access to high-end infrastructure. It also aligns with growing concerns around data privacy, as on-device processing reduces the need to transmit sensitive information to third-party servers. Still, questions remain about scalability, real-world performance across diverse workloads, and how the framework compares to established AI training pipelines. What is clear, however, is that the line between consumer hardware and enterprise AI capability is beginning to blur. With QVAC’s BitNet LoRA framework, Tether is betting that the future of AI development will be far more distributed — and far more accessible — than it is today.
Aster Chain Has Launched Its Mainnet for a Privacy-Focused Layer 1 Blockchain
Aster has officially entered the Layer 1 blockchain arena with the launch of its mainnet, introducing a purpose-built network designed to support high-speed, privacy-preserving derivatives trading. The move marks a decisive shift for the perpetual decentralized exchange, which previously relied on external blockchains but now operates on its own dedicated infrastructure. The new network, known as Aster Chain, is engineered specifically for trading activity. It combines fast execution, zero transaction fees, and built-in privacy features—an approach that reflects growing demand among traders who want both performance and discretion in decentralized finance. Key Takeaways A Shift to Proprietary Infrastructure With the mainnet now live, Aster is no longer dependent on third-party chains like Ethereum or Solana for its core operations. Instead, it runs a standalone Layer 1 network capable of handling the full lifecycle of trades—from order placement to settlement—entirely on-chain. The platform claims block times as low as 50 milliseconds and throughput reaching up to 100,000 transactions per second. These figures, if sustained under real trading conditions, would place Aster Chain among the fastest execution environments in the decentralized trading sector. Aster has also removed gas fees through a hybrid Proof-of-Staked Authority (PoSA) consensus mechanism, aiming to eliminate one of the biggest frictions traders face on traditional blockchains. Privacy by Default, Not by Option What sets Aster Chain apart is its emphasis on default privacy. Unlike most public blockchains, where transaction data is fully transparent, Aster encrypts trading activity using zero-knowledge cryptography and stealth address technology. This means positions, balances, and transaction histories are hidden unless the user chooses to reveal them. In its announcement, Aster described the system in direct terms: The introduction of “Viewer Passes” allows users to selectively disclose their activity—an approach that could appeal to both retail traders seeking privacy and institutions that need auditability for compliance. Designed for Derivatives Trading Unlike general-purpose Layer 1 blockchains, Aster Chain is built specifically for perpetual futures trading. The network includes an integrated clearinghouse that handles order matching and settlement directly on-chain, removing reliance on off-chain systems. To ensure pricing accuracy, the platform aggregates data from multiple exchanges through real-time oracles. These feeds generate weighted median prices used for funding rates, mark prices, and liquidations—key components of derivatives markets. Cross-chain bridges are also part of the infrastructure, enabling asset transfers between networks such as BNB Chain, Arbitrum, and others. This allows liquidity to flow into Aster’s ecosystem without requiring users to abandon their existing holdings. Competition Heats Up With Hyperliquid Aster’s launch places it in direct competition with platforms like Hyperliquid, which also operates its own Layer 1 network optimized for trading. Both platforms are pursuing a similar strategy: building specialized blockchains tailored to high-frequency trading rather than relying on generalized infrastructure. However, Aster is betting that privacy will be its key differentiator. The timing is notable. In March 2025, a widely discussed incident saw a trader’s massive Bitcoin position exposed on a transparent blockchain, allowing others to coordinate a liquidation strategy. That event highlighted a structural issue in DeFi—full transparency can sometimes work against traders. Aster Chain’s architecture appears to be a direct response to that problem. Roadmap: Staking, Developers, and Expansion The mainnet launch is only the first step in Aster’s rollout plan. The project has outlined a phased expansion that includes staking for ASTER token holders, ecosystem partnerships, and developer-focused initiatives. Aster’s “Code” program aims to attract developers to build applications on top of its privacy infrastructure. Success in this area will be critical; without a strong developer ecosystem, even the most advanced blockchain struggles to gain traction. A privacy-focused blockchain explorer is already live, allowing users to query network data without compromising the confidentiality of individual transactions. Balancing Privacy and Regulation While privacy features are gaining traction, they also raise regulatory questions. Authorities in multiple jurisdictions have expressed concerns about blockchain systems that obscure transaction details, citing risks related to illicit finance. Aster’s selective disclosure model—where users can reveal activity when needed—may help address some of these concerns. Still, the broader regulatory landscape remains uncertain, particularly for platforms offering derivatives trading. The challenge will be maintaining strong privacy guarantees while ensuring the network can operate within existing financial regulations. A Growing Trend in Blockchain Design Aster Chain’s launch reflects a broader shift in blockchain development. Rather than trying to serve all use cases, newer networks are focusing on specific applications—trading, gaming, identity, or enterprise use. In this case, Aster is targeting a niche that combines high-speed execution with confidentiality. If successful, it could attract traders who are dissatisfied with both centralized exchanges and fully transparent DeFi platforms. Conclusion The debut of Aster Chain marks a significant step for the project and adds a new contender to the Layer 1 blockchain space. By combining speed, zero fees, and built-in privacy, Aster is positioning itself as a specialized solution for derivatives trading. Whether it can compete with established players like Hyperliquid will depend on adoption, performance under real market conditions, and its ability to build a thriving ecosystem. For now, the launch signals one clear direction for the industry: privacy is no longer an afterthought—it is becoming a core feature of next-generation blockchain networks.
Mastercard Is Set to Acquire Stablecoin Infrastructure Firm BVNK for up to $1.8B
In a move that underscores the growing importance of blockchain-based payments, Mastercard has agreed to acquire London-based stablecoin infrastructure startup BVNK for up to $1.8 billion. The deal, which includes $300 million in performance-based payouts, is expected to close before the end of 2026, pending regulatory approvals. The acquisition marks Mastercard’s largest bet yet on digital currencies and signals intensifying competition with rival Visa in the race to dominate next-generation payment systems. Key Takeaways A Strategic Bet on Stablecoin Payments Stablecoins—digital assets pegged to traditional currencies like the U.S. dollar—are gaining traction for their ability to enable faster and cheaper transactions compared to conventional payment rails. Mastercard’s decision to acquire BVNK reflects a broader shift among financial giants seeking to integrate blockchain capabilities into their core infrastructure. The company believes stablecoins can enhance cross-border payments, business transactions, and real-time payouts by reducing friction and settlement times. Speaking on the rationale behind the deal, Mastercard’s Chief Product Officer Jorn Lambert emphasized speed to market: He added that replicating such infrastructure internally would take significant time, making acquisition the more practical route: What BVNK Brings to the Table Founded in 2021, BVNK has quickly positioned itself as a key player in stablecoin infrastructure. The company provides backend services that allow businesses, fintechs, and financial institutions to send, receive, store, and convert stablecoins across multiple blockchain networks. Its platform operates in more than 130 countries and supports a wide range of use cases—from paying international employees to enabling crypto deposits for trading platforms and gaming services. BVNK’s CEO, Jesse Hemson Struthers, highlighted how the integration with Mastercard could expand its reach: The company currently processes tens of billions of dollars in annual payment volume and has built strong relationships across the crypto and fintech ecosystem—assets that analysts say make it an attractive acquisition target. Bridging Fiat and Blockchain Systems A central goal of the deal is to connect traditional financial systems with blockchain-based payment rails. Mastercard plans to use BVNK’s infrastructure to create seamless interoperability between fiat currencies and stablecoins. This means users could eventually move money across borders, settle transactions, or make payments using stablecoins without needing to navigate complex crypto processes. Lambert pointed to the broader industry trajectory: He added that integrating blockchain rails into Mastercard’s network would improve both speed and programmability for a wide range of transactions. Competitive Pressure and Industry Momentum The acquisition comes as stablecoins gain momentum globally, supported by increasing regulatory clarity and rising adoption. According to industry estimates, stablecoin payment volumes reached hundreds of billions of dollars last year, highlighting their growing role in global finance. For Mastercard, the move is also defensive. Stablecoins have long been viewed as a potential threat to traditional card networks, particularly in cross-border payments where fees and delays remain significant. Rather than resisting the shift, Mastercard is positioning stablecoins as a complementary layer to its existing infrastructure. Analysts have largely welcomed the deal. Research firms note that BVNK’s capabilities align well with Mastercard’s existing services, offering new ways to move money across both fiat and blockchain systems. Regulatory Advantage and Global Reach One of BVNK’s key strengths lies in its regulatory footprint. The company has secured licenses across multiple jurisdictions, a process that is both time-consuming and difficult for new entrants. Mastercard believes its own experience working with banks and regulators will further strengthen BVNK’s position. Lambert noted that regulatory compliance is not just a requirement but a competitive edge: This focus on compliance could help Mastercard attract institutional clients that are cautious about entering the digital asset space. What This Means for the Future of Payments The Mastercard-BVNK deal highlights a clear trend: the convergence of traditional finance and blockchain technology. As stablecoins become more widely accepted, payment networks are racing to integrate them into their systems rather than risk being disrupted. If successful, the acquisition could enable: For Mastercard, it’s an opportunity to expand beyond card-based payments and tap into a rapidly growing segment of digital finance. For the broader industry, it’s another sign that stablecoins are moving from niche use cases into mainstream financial infrastructure. As competition with Visa and other players intensifies, the outcome of this deal could shape how money moves globally in the years ahead.