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tar

Energy company TAR completes $27 million seed round financing to address power issues in data centers during the AI era

Green energy infrastructure startup TAR announced the completion of a $27 million seed round financing to develop modular "plug-and-play" power systems for data centers, aimed at addressing the power and deployment bottlenecks faced by data centers in the AI era.According to reports, the solution combines solar energy, wind energy, battery storage, and natural gas backup units to achieve nearly round-the-clock (24/7) local power supply capability, reducing reliance on the public grid and thus bypassing issues such as grid access queuing, approval delays, and power price fluctuations. TAR's co-founder stated that the core idea is to significantly compress the deployment cycle of energy systems through factory prefabrication, pre-assembly, and pre-testing, enabling data centers to achieve "rapid go-live" capability.In pilot projects, the system can provide approximately 10 MW of stable power supply and plans to deploy over 200 MW of normal load capacity by 2027. The company noted that its first customer is an undisclosed "neocloud" service provider, aiming to provide a faster energy deployment path for AI computing infrastructure.In terms of the economic model, TAR stated that its solution does not aim for costs below those of traditional grids but prioritizes solving the "speed issue." Its off-grid energy system can be deployed in about three months, avoiding the time costs associated with grid access and land restrictions. As the demand for AI computing continues to grow, power supply has been identified by multiple studies as one of the main bottlenecks for data center expansion. Industry analysis suggests that the "off-grid energy + modular data center" model is becoming a new direction in the competition for AI infrastructure.

Hyperbridge restarts the cross-chain interoperability protocol and launches the OFT adapter, completing the decentralized architecture upgrade

Hyperbridge Cross-Chain Interoperability Protocol Hyperbridge announced the completion of a comprehensive architecture reboot, re-launching after completing security audits, bug bounty incentives, and system reconstruction, and officially transforming into a "hyperstructure." The protocol was suspended after the security incident on April 13, during which it completed a joint audit with organizations such as SRLabs and paid over $150,000 in bounties to security researchers.The team stated that this upgrade removed the original centralized management keys, transitioning to a fully permissionless network of validators and provers, achieving full-stack decentralized operation.This reboot also introduced the "Hyper Fungible Token (HFT)" standard, making each cross-chain asset an independent application layer structure, with issuers autonomously controlling cross-chain behavior rules, including pause mechanisms and throttling strategies. Hyperbridge also released the OFT (Omnichain Fungible Token) adapter, which is compatible with existing cross-chain protocols like LayerZero, allowing assets to be migrated to a zero-knowledge proof-based transport layer by simply modifying configuration parameters, without the need to redeploy contracts.In addition, the protocol's business model has shifted from a pay-per-use model to a subscription model, allowing cross-chain applications to pay a stablecoin fee of $50 to $1,000 per month for bandwidth services. The official statement indicated that this upgrade marks Hyperbridge's transition from an early cross-chain bridge project to a fully decentralized infrastructure protocol, aiming to provide a unified interoperability layer for a multi-chain ecosystem without the need for trusted intermediaries.

NVIDIA plans to market the Vera AI CPU to Chinese customers, and some cloud providers intend to start testing deployments

Sources say that Nvidia has begun marketing its first standalone Central Processing Unit (CPU) product, Vera, to Chinese customers. This chip is designed for Agentic AI systems and has now entered mass production, marking Nvidia's attempt to further expand its presence in the Chinese market through CPU products.Insiders indicate that some Chinese customers have shown interest in Vera. One large Chinese cloud computing company plans to purchase over 300 servers equipped with dual Vera CPUs for testing and will decide whether to scale up purchases after the testing is completed.Vera is built on the Arm Holdings architecture and is Nvidia's first standalone CPU product. Nvidia previously stated that Vera's performance in AI agent-related computing tasks can reach 1.8 times that of competing products, and it is expected that this product will contribute approximately $20 billion in revenue before the end of the current fiscal year (by the end of January next year).Reports point out that as the focus of the AI industry gradually shifts from model training to inference computing, CPUs and custom chips are gaining more attention. Vera also puts Nvidia in direct competition with Intel and Advanced Micro Devices (AMD), which have long dominated the server CPU market.Insiders have noted that due to strict restrictions imposed by the U.S. on high-end GPU exports, CPUs face relatively fewer regulatory hurdles in the Chinese market compared to GPU products. Currently, some Chinese customers plan to first deploy Vera chips in overseas data centers for testing. Meanwhile, software ecosystem compatibility and the existing domestic AI chip deployment system may still affect the subsequent large-scale adoption of Vera.
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