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WasabiCard launched various AI subscription cards, covering payment scenarios for mainstream AI tools such as OpenAI and Claude

According to official news, WasabiCard has launched various AI subscription cards, catering to the global AI tool subscription and payment needs of enterprises and teams, supporting subscription payment scenarios for mainstream AI applications such as OpenAI and Claude. Through card-based payment solutions, companies can handle the procurement and expense management of AI services for different teams, projects, or business lines more flexibly.In addition to AI subscription payments, WasabiCard also supports bulk card issuance for enterprises, fund budget management, and multi-currency account setup, as well as various scenarios such as advertising, business travel, payroll, and e-commerce subscriptions. It helps companies configure payment permissions and budget limits by department, employee, or specific purpose, enhancing the management efficiency of AI-related expenditures and the transparency of fund usage.As AI tools gradually enter daily workflows in research and development, content production, customer service, and operations, cross-border subscription payments and expense management are becoming important infrastructure for global operations of enterprises. It is important to note that currently, WasabiCard-related products are not open for application to enterprises and individual users in mainland China.

first_img DeepSeek open-source Ascend basic components, covering compilation, computation, and communication libraries

The artificial intelligence company DeepSeek has officially open-sourced infrastructure components for the Huawei Ascend computing platform, covering the TileLang high-level language compilation tool, computing libraries, and distributed communication libraries, corresponding to the previously open-sourced components for the NVIDIA platform. TileLang aims to provide a general-purpose, simpler programming language that can achieve the hardware performance limits, improving development efficiency and simplifying logic compared to CUDA, while its programming model can also leverage chip features.The TileLang route was first validated on the NVIDIA platform and has already supported the implementation of most operators in the training of the DeepSeek V4 series models. The open-sourced Ascend version encapsulates the underlying instructions of the Ascend C, providing a high-level programming approach without sacrificing hardware performance. Currently, every TileLang operator used in DeepSeek's training has a corresponding high-performance implementation on Ascend.The components open-sourced at the same time also include DeepGEMM, DeepEP, TileKernels, FlashMLA, and DeepSelect, which are used for general matrix operations, large-scale cross-device communication, conventional vector calculations and memory access, long-context sparse attention, and data filtering, respectively. DeepSeek claims that in multiple key tests, the related computing and communication performance has approached hardware limits; during the R&D process, the Huawei team provided support, and both parties collaborated to advance the 128-card supernode solution based on Ascend 950, with deep optimizations made for computing and communication.

Bitget CEO live-streamed a response to the platform's first security incident in eight years: the attack originated from a vulnerability in a third-party security product, and the losses will be covered by the user protection fund

In today's community live broadcast, Bitget CEO Gracy responded to recent security incidents and the platform's financial status. She candidly stated that this is the first security incident encountered since Bitget was established 8 years ago. After a complete trace, it was found that hackers exploited vulnerabilities in third-party security products to steal internal network access credentials, forged withdrawal commands to the wallet system, and deceived the wallet into executing abnormal transfers that bypassed risk checks. Gracy emphasized that no private keys were leaked, and cold wallets were unaffected; specific technical details will be disclosed in the formally released security report.Gracy pointed out that the verified losses from this incident are within the coverage of the protection fund, and user funds are not affected. The platform's own funds exceed $1.4 billion, which includes approximately $464 million in the user protection fund. The platform will continue to uphold the security commitments made when the protection fund was established in 2022, planning to replenish the fund to the baseline of $300 million within a week."The protection fund is not just a slogan, but an important mechanism that provides tangible security for users in the event of extreme security incidents," Gracy stated. In the face of sudden security challenges, the platform's comprehensive strength and its ability to take responsibility are important criteria for measuring its risk response capability and long-term credibility. Bitget will continue to uphold its long-term commitment to prioritize user interests.
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