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Bitdeer produced 1,190 BTC in July with a hash rate exceeding 81 EH/s, and AVAT disclosed holding 15.3 million AVAX

According to BBX data, yesterday global publicly listed companies in the U.S. stock market disclosed the latest official ledgers on cryptocurrency asset mining operations, ecological treasury financial reports, and on-chain data infrastructure. The core updates are as follows:Bitdeer (NASDAQ: $BTDR) July production surged 322% year-on-year, total exclusive computing power reached 81.7 EH/s: Nasdaq-listed Bitcoin mining company and AI infrastructure company Bitdeer released its production and operation update for July 2026. In terms of mining, the company mined a total of 1,190 Bitcoins that month (a year-on-year increase of 322%). In terms of computing power scale, self-operated computing power reached approximately 76.7 EH/s, other exclusive computing power 5.0 EH/s, and joint mining computing power 18.7 EH/s, totaling an exclusive computing power of 81.7 EH/s. As of the end of July, the company's balance sheet held a total of 257 Bitcoins (excluding customer deposits).Avalanche Treasury Company AVAT (NASDAQ: $AVAT) holds 15.3 million AVAX, plans to repurchase $10 million in stock: Avalanche ecological cryptocurrency treasury company Avalanche Treasury Company released its financial report for the second quarter of 2026. The company reported a net loss of $44.7 million for the quarter (loss per share of $1.54), of which approximately $35.7 million (about 80%) was a non-cash accounting loss due to changes in the market value of AVAX holdings, and approximately $15.2 million was a one-time cost incurred from business mergers, with core administrative expenses of about $3.5 million. The company's board has approved a $10 million repurchase plan for Class A common stock. As of June 30, the company held approximately 15.3 million AVAX (book value of about $100 million), with net staking income of about $1.5 million for the second quarter (cumulative approximately $3.6 million for the first half of the year).Solana Treasury Company DFDV (NASDAQ: $DFDV) launches State of Solana data dashboard: Nasdaq-listed SOL treasury company DeFi Development Corp announced the launch of the public real-time data research platform State of Solana. This platform integrates Solana's market price, network performance, staking rate, validator distribution, on-chain revenue, and ecological indicators into a unified dashboard, aiming to provide investors with a comprehensive fundamental perspective beyond price fluctuations, and will continue to expand the dataset and visualization analysis tools in the future.

first_img Apple M6 uses TSMC 2 nanometers, advanced packaging demand drives the Taiwan supply chain

Apple's first 2-nanometer M6 chip officially debuts, equipped with a 12-core CPU, 12-core GPU, and dual 16-core neural network engines, with unified memory bandwidth reaching up to 170GB per second, initially featured in the new Mac mini. This chip is manufactured by TSMC using a 2-nanometer process and is the first to adopt gate-all-around (GAA) nanosheet transistors, making it the world's first consumer-grade 2-nanometer chip.The supply chain is focused on the subsequent high-end M series packaging architecture. Based on the Fusion Architecture of the previous generation M5 Pro, M5 Max, and the four-die design of M5 Ultra, Apple chips have transitioned from a single large die to a modular design. Future M6 Pro, Max, or Ultra are expected to enhance advanced packaging requirements such as SoIC-MH and WMCM, increasing interconnect density with SoIC-MH and integrating logic, LPDDR memory, and high-speed I/O with WMCM.TSMC is actively preparing for expansion, with Zhunan AP6 as the main mass production base for SoIC, Longtan AP3 upgrading to WMCM, and Chiayi AP7 taking on related capacity. Analysts estimate that WMCM's monthly production capacity will reach about 60,000 units by the end of 2026 and over 120,000 units in 2027. Equipment manufacturers such as Hongshuo, Junhua, Yinneng, and material manufacturers Changxing, Xinying Materials, and Yongguang are expected to benefit.

first_img Jensen Huang defends Nvidia's AI ecosystem financing, stating that the risks are relatively low

NVIDIA CEO Jensen Huang defended the company's increasingly expanding role in financing the AI ecosystem on CNBC's "Mad Money," calling the investment in cutting-edge labs a "once-in-a-generation" opportunity and stating that the risks are relatively low. He pointed out that the outside world overlooks a key point: these are the first batch of startups that require hundreds of billions of dollars in funding, with a very high capital intensity for building and deploying AI. NVIDIA has invested in model companies like OpenAI and Anthropic, as well as new cloud service providers, and has provided financial support for data center projects, including $105 billion in support for a large computing power park in Ohio (with OpenAI as a tenant), and has collaborated with Wall Street institutions to arrange up to $500 billion in data center financing.In response to criticisms of "circular financing" and comparisons to similar internet bubbles, Huang stated that NVIDIA hopes to become an equity investor in cutting-edge AI labs and provide broader support, as these companies do not yet have investment-grade qualifications and low-cost financing records. He emphasized that the invested capital will yield substantial returns and that the risks are low because the computing infrastructure can be redeployed to other clients and workloads when the supported companies encounter difficulties. NVIDIA just announced better-than-expected results for the second quarter of fiscal year 2027: revenue of $96.2 billion, more than doubling year-on-year; data center revenue increased by 117% to $89 billion, and it is expected that revenue will grow by about 70% in fiscal year 2028. Following the announcement, the stock price rose about 4% in after-hours trading.

first_img Zhipu released GLM-5.3 Flash, providing inference services with 100,000 domestic chips, competing with DeepSeek V4 Flash

Zhipu released the lightweight flagship model GLM-5.3 Flash, aimed at competing with DeepSeek V4 Flash, and utilizes over 100,000 domestic chip clusters to provide inference services. The model has a parameter scale of approximately 300B, about 40% of GLM-5.3, and is roughly on par with DeepSeek V4 Flash; it adopts the MoE architecture, with actual activated parameters around 18B, possesses native multimodal capabilities, supports image and video input, and is the first new model with multimodal capabilities following Zhipu's focus on coding strategy.The comprehensive evaluation score exceeds that of the previous flagship GLM-5.2, is on par with Claude Opus 4.8, and is higher than the relevant scores of DeepSeek V4 Pro official version. The pricing is 0.8 yuan per million tokens for input, 2.8 yuan for output, and 0.23 yuan for cache hits, approximately one-tenth of GLM-5.3, with a half-price discount offered for the first two weeks after launch. The model is fully compatible with domestic computing power, online traffic is handled by domestic chips, and Zhipu claims that the cluster hardware efficiency and unit token cost have reached levels comparable to mainstream NVIDIA GPUs; this model was previously tested anonymously on overseas platforms under the code name Ox Alpha.

first_img OpenAI suspends training of the Astra model due to safety issues

According to TIME, OpenAI CEO Sam Altman recently stated in an interview that the company has previewed the upcoming cutting-edge model series Astra to key clients. In the demonstration, 16 AI agents can collaboratively break down mathematical problems and assemble proofs, and Astra can operate computer software across applications at superhuman speeds. Altman mentioned that Astra will support "persistent agents" capable of performing long-term tasks and is expected to be the first model that can invent new things in a meaningful way, possessing characteristics of AGI.Over the past year, OpenAI has fallen behind expectations in product direction and pre-training research, being surpassed by Anthropic in programming products, annual revenue, and valuation. The company has experienced multiple executive departures and is facing challenges such as several product liability lawsuits and legal disputes with Apple and Musk. OpenAI's current valuation is nearly $1 trillion, with ChatGPT having over 1 billion monthly active users.Recently, OpenAI disclosed a security incident: an unreleased agent escaped the sandbox and attacked Hugging Face. Following this, the research team froze some experiments, enhanced monitoring, and paused the training of an unreleased model expected to bring the greatest capability leap until new safety measures are in place. Altman emphasized that "ensuring AI safety is more important than the growth momentum of any company," and the company will slow its pace and allocate resources to safety and alignment teams. Chief Research Officer Mark Chen estimated that the company is about 80% complete in reaching AGI, and Altman stated that the internal system may be referred to as AGI by the end of the year.

MYSTEN Labs co-founder Kostas Kryptos participates in the establishment of the cryptocurrency trading platform Havenex: Series A financing is about to be completed

The Sui development team co-founder of Mysten Labs, Kostas Kryptos, stated that Havenex is undergoing Series A financing and is about to complete it. All necessary license applications and some additional license applications have been submitted, and the financing amount is also close to being fully allocated.Havenex is not positioned to become another Coinbase, Binance, Bybit, or Kraken, but rather to provide infrastructure for financial institutions, enabling them to offer digital assets and traditional financial assets to clients while meeting regulatory, custody, security, and transparency requirements. Havenex plans to support a multi-chain architecture, verifiable custody, continuous solvency proof, default multi-signature, quantum-resistant keys, hardware two-factor authentication wallets, as well as self-custody and key loss protection mechanisms; in regions where regulations allow, it will also support privacy assets and RWA. The project will use Sui technology in suitable scenarios while integrating assets, bridging protocols, and foundational components from other ecosystems.The concept of Havenex was proposed by him, and he will currently participate as an advisor, but Mysten Labs and Sui remain his main focus. He stated that the project aims to establish transparency and security standards different from those of FTX and Mt. Gox, and to reduce the serious vulnerability risks caused by code generated by large language models recently.
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