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financing

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Blockchain data infrastructure company Cambrian has completed a $6 million seed round financing, led by Franklin Templeton and Polychain

Blockchain data infrastructure startup Cambrian has completed a $6 million seed round financing, led by Franklin Templeton and Polychain Capital, with participation from Flow Traders, Selini Capital, Paper Ventures, Nomad Capital, and others.Cambrian also previously secured $5.9 million in pre-seed financing led by a16z Crypto Startup Accelerator, bringing the total funding to $11.9 million. It is reported that Cambrian was established in 2024 and currently provides APIs for institutions and AI Agents, covering real-time and historical on-chain data such as yield, risk, lending rates, trading activity, liquidity positions, and market sentiment, helping users allocate capital on-chain.The company plans to expand its existing APIs into a verifiable blockchain data oracle network, serving institutional financial clients, AI Agent builders, and protocols that need reliable data to control the flow of funds. Unlike traditional oracles that mainly provide price data, Cambrian aims to aggregate lending protocol data, DEX liquidity, social sentiment, developer activity, and historical market data.According to Cambrian, its platform has processed millions of API calls, currently indexing approximately $4.5 billion TVL across four major lending protocols, tracking 1,789 vaults under 895 curators, and monitoring over 320,000 DEX liquidity pools on Base and Solana. The company also plans to expand trading data support, adding Hyperliquid and richer perpetual contract data.

The computing power market infrastructure company Ornn has completed a $33 million seed round financing, led by a16z Crypto

According to official news, the computing power market infrastructure company Ornn announced the completion of a $33 million seed round financing, led by a16z Crypto, with participation from Galaxy Ventures, Nordstar, and SV Angel, while Vine Ventures, Crucible Capital, Link Ventures, and Box Group continue to support.Ornn stated that a mature commodity market first requires reliable pricing data, which leads to price discovery, and price discovery then supports risk transfer, which in turn enables more efficient capacity allocation. The OCPI it launched is a transaction-based computing power index aimed at providing a unified and trustworthy price benchmark for settlement in the computing power market. Partners like ICE can promote risk transfer by directly referencing OCPI's futures and options contracts.Additionally, Ornn announced the launch of Ornn Compute, a physical capacity layer for the computing power market that can aggregate dedicated GPU capacity from multiple neoclouds onto a single platform, providing a unified access process, a secondary transfer market, and on-demand subleasing capabilities. Operators can obtain diversified demand from multiple tenants through a single underwriting contract, while buyers can view the sites, hardware configurations, and terms of the reserved clusters. This platform will make dedicated GPU capacity a liquid asset and allow previously idle capacity to be utilized.

SK Hynix's financing in the U.S. may exceed Alibaba's to become the largest in history, with ADR financing up to 29 billion dollars

South Korean memory chip giant SK Hynix plans to raise up to 45 trillion won (approximately 29 billion USD) by issuing American Depositary Receipts (ADRs) in New York, with the related transaction set to start in July. If successful, this financing scale will surpass Alibaba's 25 billion USD IPO in 2014, becoming one of the largest overseas equity financing projects in the history of South Korean companies, and approaching historical records in the global capital market.According to the plan, SK Hynix will first issue shares in South Korea, then deposit the relevant shares into a South Korean securities depository as the underlying securities for the ADRs. South Korean regulators are expected to complete the review by July 3. The raised funds will primarily be used for the construction of the Yongin semiconductor cluster in South Korea and a factory in Indiana, USA, as well as the purchase of EUV extreme ultraviolet lithography equipment to support the expansion of advanced storage capacity related to AI. Citigroup, JPMorgan Chase, Goldman Sachs, and Bank of America have been selected as the lead underwriters.SK Hynix's confidence in this U.S. financing stems from its strong position in the AI industry chain. As a leading company in the global high bandwidth memory (HBM) sector, the company is a core supplier of AI accelerator chips for NVIDIA. Driven by AI demand, its stock price has increased by over 300% this year. CEO Lee Seok-hee stated that the company hopes to leverage the U.S. capital market to enhance its global influence and achieve a valuation level comparable to other AI hardware companies.

BIT's US stock financing trading is about to launch public testing, with professional trading capabilities continuously upgraded

BIT (formerly Matrixport) announced the official launch of its U.S. stock margin trading feature, which will be open for public testing starting June 26. BIT is the first platform in the cryptocurrency industry to offer margin trading functionality. Users can now submit margin loan applications through the official website or app. BIT will review applications based on account status and risk management requirements, gradually increasing the margin limits. Additionally, features such as securities lending are also in preparation and will be gradually opened based on regulatory requirements and product progress.During the public testing period, BIT will simultaneously launch the "First Margin Loan · Limited Time Interest-Free" and "Interest Cashback Gift" promotions: Users who use margin trading for the first time during the promotional period will enjoy 30 days of 0% interest on their first loan, allowing users to experience the efficiency of leveraged funds without interest. Elio Cui, head of brokerage services, stated: "BIT is the first to provide margin trading functionality, enhancing the customer journey from account opening, trading to fund leverage. This allows BIT customers to improve investment efficiency and strategically position themselves in the world's most wealth-generating assets without relying on bank cards or leaving the digital asset ecosystem."BIT also reminds users that while margin trading enhances the efficiency of fund usage, it also comes with corresponding risks. Users should fully understand margin rules and risk control mechanisms and participate cautiously based on their own risk tolerance.

AI infrastructure startup Upscale AI completes $190 million financing at a valuation of $2 billion, led by Premji Invest, with participation from Nvidia and others

According to Techstartups, AI infrastructure startup Upscale AI announced the completion of a new round of financing totaling $190 million, with investors including NVIDIA and Salesforce Ventures. After this round of financing, the company's valuation reached $2 billion.This round of financing is part of its Series A extension, bringing Upscale AI's total financing to $500 million, led by Premji Invest, with new investors such as Temasek and Seligman Ventures participating, while existing shareholders including Maverick Silicon, Mayfield, Prosperity7 Ventures, StepStone Group, and Tiger Global continue to invest.Upscale AI focuses on building network infrastructure for large-scale AI clusters, attempting to solve the "computing power interconnection bottleneck" problem in AI training and inference. The company is developing a full-stack AI network architecture covering chips, systems, and software, aiming to create an open standard network interconnection solution suitable for large-scale AI workloads.The company stated that as the scale of AI clusters continues to expand, network performance is becoming a key limiting factor affecting GPU utilization and training efficiency. Inefficient interconnection can directly lead to wasted computing power and increased training costs. Currently, Upscale AI has begun collaborations with several hyperscale cloud providers and "new cloud" infrastructure providers for evaluation and deployment, but has not disclosed specific client information.Analysts point out that investment in AI infrastructure is spreading from the model layer to the underlying hardware and network layers, with network interconnection becoming one of the most关注的 key infrastructure tracks following GPUs.
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