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infrastructure

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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.

Gate Ventures: Market sentiment continues to be weak, stablecoin payments and RWA infrastructure construction are accelerating

According to the latest weekly report from Gate Ventures, market risk appetite continues to be under pressure, and the overall cryptocurrency market is experiencing a pullback. BTC fell 3.7% over the week, ETH fell 1.2%, and the total market capitalization of cryptocurrencies declined by 3.1%, with the Fear and Greed Index remaining in the "Extreme Fear" range. In terms of capital flow, digital asset investment products continued to see net outflows, with the spot BTC ETF experiencing a net outflow of $226.8 million in a single week, and the spot ETH ETF seeing a net outflow of $10 million, reflecting ongoing market hesitation. Meanwhile, STRC under Strategy has traded below par for the fifth consecutive week, and the market continues to pay attention to its subsequent capital operations and yield adjustment space.In terms of industry development, stablecoin payments and RWA infrastructure construction are being continuously advanced. Trace Finance has completed $32 million in financing to expand its compliant stablecoin payment network and cross-border settlement infrastructure; Philippine regulators have released positive signals supporting the development of RWA tokenization, with related explorations further deepening. In terms of investment and financing, four financing transactions were disclosed last week, with a total financing amount of $39.5 million, of which the DeFi sector accounted for the majority. Overall, although the market is still in a correction phase in the short term, stablecoin payments, RWA, and underlying infrastructure construction remain important directions of ongoing industry focus.

OpenAI's confidential IPO documents revealed: zero liabilities on the books, off-balance-sheet computing power and infrastructure commitments amounting to $665 billion

According to a report by The Information, the confidential IPO registration draft submitted by OpenAI shows that as of the end of March 2026, OpenAI's balance sheet exhibits "light asset" characteristics, with zero debt on the books and capital expenditures of only $46 million in the first quarter. However, in reality, the company has placed substantial infrastructure expenditures off the books, with future procurement commitments in chips, energy, and data centers reaching up to $665 billion. Financial data indicates that OpenAI's actual net loss in the first quarter was approximately $8.5 billion, with revenue costs amounting to $3.5 billion.Additionally, OpenAI demonstrates a very high characteristic of related-party funding cycles. In the first quarter, 72% of its revenue costs and 45% of total expenditures flowed to related parties (expected to be primarily Microsoft), and it directly used $488 million in equity to settle part of its computing power bills. In the data center joint venture project within its consolidated financial statements, nearly $5 billion in book losses is accounted for as belonging to external partners. The documents also reveal that its main competitor, Anthropic, is similarly engaging in large-scale off-balance-sheet expansion, including $4.5 billion in data center service commitments and $35 billion in chip leasing orders.

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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