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Gate Card launches invitation rewards, with a 5 USDT consumption rebate that is valid long-term

According to the official announcement, Gate Card has officially launched a new invitation reward mechanism, offering differentiated benefits plans for Gate users and agents, KOL partners. When the invited person meets the card opening conditions and spends a total of 100 USDT within 30 days of successfully opening the card, the inviter can receive a reward of 5 USDT, and the invited person receives a reward of 2 USDT. Among them, the rewards for Gate users are issued in the form of cash vouchers, which can be used for consumption or card recharging, and cannot be exchanged or transferred; rewards for agents and KOL channel partners are issued in the form of points.In terms of consumption Rebate, when the invited person makes a single purchase of ≥ 2 USDT, the inviter can continuously receive consumption Rebate for 12 months. The Gate user referral program enjoys a 0.1% consumption Rebate, while agents and KOL channel programs enjoy higher tier exclusive Rebates and channel rewards. For details, please contact your business manager. Consumption Rebate for Gate users is issued in the form of cash vouchers, while channel and agent rewards are issued in the form of points, with a unified settlement issued every two weeks. Gate Card points are valid for a long time, with a fixed exchange rate of 100 points = 1 USDT, supporting the exchange of stock tokens and various virtual currencies, with a minimum exchange of 50 points per transaction.

hot_img Cerebras releases the fourth generation AI inference system CS-4: performance doubled, power consumption doubled, more flexible deployment

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.

hot_img BNEF: U.S. data centers may account for 20% of electricity consumption by 2035, Bitcoin mining companies are accelerating the shift to AI computing power

Bloomberg New Energy Finance (BNEF) latest forecast shows that by 2035, electricity consumption by data centers in the United States will account for about 20% of the nation's total electricity consumption, a significant increase from the current level of about 5.9%. The agency has raised its forecast for data center electricity demand in 2035 to 106 GW, which is 36% higher than the 78 GW predicted in April this year. Currently, the operating capacity of data centers in the U.S. is about 40 GW, accounting for approximately 3.5%-4% of the national electricity demand, while under BNEF's baseline scenario, this proportion is expected to reach 8.6% by 2035. The high-growth model from the Electric Power Research Institute (EPRI) indicates that if the combined effects of cryptocurrency mining and AI computing power are taken into account, the upper limit of this proportion also points to 20%.In response to the explosive growth in AI computing power demand, Bitcoin mining companies are actively transforming. Companies like Core Scientific and Riot Platforms have partnered with tech giants such as AWS and Google to convert their existing mining sites into AI data centers. Currently, Bitcoin mining companies have secured about 6 GW of electricity capacity, which is expected to expand to 12 GW by 2027, with some analysts estimating that about 20% of mining companies' computing power capacity will shift towards AI workloads by then. Data from the Electric Reliability Council of Texas (ERCOT) shows that data centers now account for about 90% of local large load applications, with many sites originally used for cryptocurrency mining being repurposed as AI computing facilities. This trend is also directly reflected in the capital markets, as Core Scientific has seen a significant rebound in its stock price after emerging from bankruptcy and partnering with AI cloud service provider CoreWeave.

The Ministry of Commerce and seven other departments released 17 measures to comprehensively promote the development of "Artificial Intelligence + Consumption."

The Ministry of Commerce and seven other departments officially released the "Implementation Opinions on Accelerating the Development of 'Artificial Intelligence + Consumption'," proposing 17 specific measures around five major areas: commodity consumption, service consumption, business innovation, and promotion guarantees. The aim is to address structural bottlenecks on both the supply and demand sides, promoting the accelerated integration of artificial intelligence technology into households and businesses.The "Opinions" clearly state that in the commodity sector, the supply of smart terminals will be expanded, a new track for humanoid robot consumption will be established, and a "people, vehicles, homes" full-scene interactive ecosystem will be created. It also promotes the deep integration of AI with cutting-edge technologies such as brain-machine interfaces and augmented reality. In the service sector, the focus will be on five major scenarios: home care, elderly care, and cultural tourism, researching the inclusion of smart homes in the "good housing" construction guidelines, and equipping elderly care institutions with smart nursing and rehabilitation robots. Furthermore, the "Opinions" also plan to embed AI technology in retail, e-commerce, and logistics to enhance circulation efficiency, and propose the establishment of "Artificial Intelligence + Consumption" aggregation areas and experience centers, requiring close alignment with existing consumption promotion policies such as "trade-in for new" for digital products, thereby shifting the logic of consumption growth in our country from reliance on external stimuli to gradual empowerment through technology.
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