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On August 20, the B.AI platform DeepSeek-V4-Flash zero-threshold free access event continues. B.AI upholds the vision of "Inclusive Computing Power" and is committed to building a globally leading one-stop AGI infrastructure, continuously lowering the threshold for AI use, allowing developers and Web3 users to easily experience, build, and deploy Agentic applications.Relying on the one-stop AGI infrastructure, B.AI aggregates cutting-edge model matrices from around the world, with built-in intelligent routing to optimize costs and efficiency; stably supporting high-throughput scenarios such as millions of long contexts and Agent workflows; elastic API routing balancing production-level high availability and extreme cost-effectiveness; Web2/Web3 dual channels bridging crypto assets and fiat currency settlement. Currently, DeepSeek-V4-Flash is continuously available for free on both Web and API ends, with $0 access to top model capabilities.

Arthur Hayes published an article "The Book of Genesis," using mythological narrative to explain the core concepts and tokenomics of his AI/crypto project Flop Labs. He pointed out that the current AI market lacks a unified pricing standard for computing power, with different models defining and pricing "tokens" differently.Hayes proposed building a decentralized computing power network Flop Network, with FLOP as the native token, representing a direct claim to computing power (FLOPs), allowing AI agents and humans to trade at a globally unified price per computing power. The FLOP token economy adopts a fair launch model, with the team self-funding and no pre-sale. Miners earn FLOP block rewards and inference fees by providing "Proof of Useful Inference" (PoUI), and AI agents can use $FLOP to purchase computing power ("food") and combine it with decentralized storage to achieve persistent memory ("personality"). Testnet participants will receive about 20% of the token supply (distributed over ten years). Hayes stated that if the AI agent economy predictions come true, the value of Flop Network could far exceed that of Bitcoin.

The U.S. Commodity Futures Trading Commission (CFTC) has issued a notice seeking public comments on the listing of computing power derivative contracts and related market regulation issues to further understand and improve the regulation of the computing power derivatives market.CFTC Chairman Michael S. Selig stated, "Without a robust computing power derivatives market, the U.S. cannot win the AI race." He noted that just as the U.S. market established trading standards for commodities that propelled the industrial economy, it will also establish corresponding rules for computing power commodities to drive the "smart economy." This public comment period is the first step in establishing clear rules for the U.S. computing power market.The notice seeks comments on the scale, liquidity, and other market characteristics of the computing power spot market, while also covering topics such as market regulation, manipulation risks, customer protection, and computing power perpetual futures, and invites market participants to submit comments on other aspects of the computing power market. The comment period will last for 60 days following the publication of the relevant notice in the Federal Register.

Cerebras released its fourth-generation AI inference system CS-4 this week, based on the same 5nm WSE-3 wafer, achieving double the performance by doubling the clock frequency and power consumption. A single CS-4 cabinet accommodates 3 wafers (CS-3 has 2), featuring a modular "backpack" design that simplifies manufacturing and deployment, with a TDP of approximately 125 to 135kW. The CS-4 can provide an inference speed of nearly 4000 tokens/second/user, about twice that of the CS-3, and supports decomposed inference with heterogeneous systems such as AMD and AWS Trainium.Cerebras claims that the CS-4 offers about 2000 times the on-chip memory bandwidth of NVIDIA's Rubin (43PB/s), but the 44GB SRAM capacity remains unchanged, and long-context inference still requires multi-wafer stacking. For example, with the DeepSeek V4 Pro (1.6T parameters), approximately 20 systems are needed for a 1M context window, and about 40 systems are required for 256 concurrent users, corresponding to a CAPEX exceeding 20 million USD. Cerebras is collaborating with clients such as OpenAI and plans to achieve approximately double performance improvements each year, aiming for a 20-fold throughput increase by 2027. The "backpack" cabinet design of the CS-4 will continue into the next-generation "Nexus" platform.

According to Cointelegraph, the U.S. Commodity Futures Trading Commission (CFTC) is preparing to seek public input on artificial intelligence (AI) computing power futures. Meanwhile, the Chicago Mercantile Exchange (CME) and Intercontinental Exchange (ICE) plan to launch related products linked to computing power.This move aims to explore the feasibility of incorporating AI computing resources into the regulated futures market, reflecting traditional financial infrastructure's attention to emerging computing power demands. If these related products are implemented, they may provide institutions with tools to hedge against fluctuations in computing power costs.

According to The Information, Anthropic and OpenAI are accelerating the launch of AI applications and features aimed at specific industries. Some enterprise customers are concerned that the two companies may prioritize their strongest AI capabilities for their own products in the future, rather than opening them up to external companies through APIs.This trend is shifting the relationship between model providers and enterprise customers from foundational technology collaboration to potential competition. If top model capabilities lean more towards proprietary applications, enterprises may need to reassess their reliance on AI infrastructure providers, supply chain arrangements, and long-term technology strategies.

According to BBX data, last weekend, publicly listed companies in the U.S. stock market disclosed the latest real accounts regarding digital asset treasury adjustments, staking yields, and computing power infrastructure financial data. The core dynamics are as follows:Hyperscale Data ( NYSE : $ GPUS ) sold 685 BTC for $43 million: AI data center company Hyperscale Data officially announced that it has sold approximately 685 bitcoins in the open market, obtaining about $43 million in cash. After this reduction, the company still holds approximately 275 BTC. The funds will mainly be used for the ongoing development and expansion of its Michigan data center, as well as to optimize its debt and equity capital structure to support its computing power transformation strategy.Solana concept stock HSDT ( NASDAQ : $ HSDT ) recorded 31,200 SOL staking yields in Q2: Nasdaq-listed Solana treasury and ecosystem company HSDT disclosed its performance for the second quarter of 2026. The company's total revenue for the quarter was $2.5 million, mainly contributed by the 31,200 SOL staking rewards obtained during the quarter; the net loss for the quarter was $30.3 million. As of June 30, HSDT's total assets reached $176.1 million, including $147.3 million in long-term digital assets, related positions, and fund investments.Soluna ( NASDAQ : $ SLNH ) Q2 revenue increased by 145% year-on-year, repaid $19.1 million loan early: Green data center listed company Soluna released its Q2 financial report, with total revenue reaching $15.1 million (a year-on-year increase of 145%). Among them, data hosting revenue surged to $12.65 million, while cryptocurrency mining revenue decreased to $1.72 million; the net loss was $22.6 million, with an adjusted EBITDA loss of $1.6 million. As of the end of the quarter, the company held unrestricted cash of $113.4 million. The financial report disclosed that the company fully repaid approximately $19.1 million of Generate debt early on August 10.

According to CCTV Finance, a very rare scene this week is that Jensen Huang teamed up with six Wall Street asset management giants to endorse "making AI computing power an independent asset class." Analysts believe this is Jensen Huang practicing the concept of token economics he proposed, and it also marks that the AI boom is extending from a technological competition to a capital competition.However, the latest plan has also raised investors' concerns about "revolving financing" and debt risks. In response to the doubts, Jensen Huang once again personally stepped in to calm the market. He stated that Nvidia might "provide up to 25% residual value support mechanism for individual investment projects" and will carefully evaluate each project. After that, market sentiment was slightly alleviated.

According to Bloomberg, EdgeConneX Inc., a data center operator supported by EQT, is seeking banks to provide a power cost guarantee of up to $2.5 billion to support its global data center expansion plans.EdgeConneX is negotiating a letter of credit financing arrangement with several banks, including France's Natixis and Spain's BBVA. This arrangement will help the company lock in power supply costs for its data center projects.With the rapid growth in demand for artificial intelligence training and inference, global data center construction has entered an accelerated phase, and operators are exploring new financing tools to cope with rising power procurement costs and infrastructure investment needs. EdgeConneX's request for bank support reflects that AI infrastructure companies are shifting from traditional real estate and equipment financing models to establishing new financing structures around energy supply, long-term power contracts, and other assets.In recent years, major cloud computing companies and AI infrastructure firms have increased their investments in data centers, while power supply has become a significant bottleneck constraining the expansion of AI computing power. Securing future power costs through bank credit support is becoming a new way for data center operators to obtain expansion funding.

According to Gate market data, the Hang Seng Index opened lower and then rose sharply this morning. After opening more than 150 points down in the early session, it surged back, recovering losses and turning positive. As of the midday close, the Hang Seng Index rose by 0.07%, reporting at 25,457.33 points, while the Tech Index rose by 0.3%, reporting at 4,790.56 points. The total market turnover reached HKD 132.028 billion, with strong performance in the computing hardware sector. In terms of individual stocks, Cambridge Technology rose by 15.37%, and Shengbang Technology rose by 7.69%.

According to Fortune, Bank of America announced a $250 billion infrastructure investment plan on Wednesday, committing to invest in key infrastructure areas in the United States over the next year. The investment scope covers multiple fields including data centers and computing power, renewable energy generation, energy storage, natural gas, transmission networks, and critical minerals and mining, with the goal of supporting energy security, job growth, and economic competitiveness.

Luke Dashjr has randomly determined that BLAKE2b will be the new POW algorithm for the BIP-110 chain, expected to replace the currently used SHA-256d algorithm in Bitcoin. Compared to SHA-256d, BLAKE2b is more suitable for mining with general-purpose CPUs/GPUs, being more CPU-friendly, which can reduce the advantages of existing Bitcoin ASIC miners.Previously, it was reported that Luke Dashjr plans to officially implement the BIP-110 hard fork on September 1, making it an independent blockchain and generating a new token distinct from Bitcoin. Luke Dashjr has had his Bitcoin BIP editing permissions revoked by the Bitcoin BIP editing team.