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Flash

The South Korean trading platform Prabang was attacked, resulting in a loss of approximately 100 million Korean won

According to reports from Yonhap News, the South Korean virtual asset trading platform Prabang has announced a temporary service suspension due to a hacker attack that resulted in an asset loss of approximately 100 million Korean Won, stating that it will fully compensate the affected funds with the company's own assets.According to industry sources, Prabang discovered abnormal transfers from its hot wallet on October 24 and immediately initiated an emergency response and comprehensive investigation, during which a security vulnerability was found. After confirming unauthorized external access on October 26, the platform reported the incident to relevant authorities and continues to investigate the cause and extent of the losses.Yonhap News stated that there have been a series of hacker-related incidents in the financial and virtual asset industry recently, with this being the first confirmed case of asset loss. The report mentioned that this incident appears to be different from the Prabang-related incident mentioned by financial authorities in the AI hacker intrusion inspection results on October 14. Additionally, on October 27, Bithumb experienced a hacker attack targeting its internal systems, leading to the leakage of employee personal information. On the same day, several Korean Won trading platforms also faced intrusion attempts targeting personal information and assets.

Gate Money launched a promotional event for account opening, where new users who open a USD-named account can receive up to 100 USDT

According to the official announcement, Gate Money will launch the "Account Opening Gifts" event from October 28 at 16:00 to November 11 at 16:00 (UTC+8). During the event, users who complete registration and identity verification, successfully open an account for the first time, and complete a valid bank transfer will have the chance to receive random rewards ranging from 2 to 100 USDT.After the event ends, Gate will randomly select up to 5,000 users who pass the qualification review, with each person eligible to receive a random reward of 2 to 100 USDT. Each individual can claim the reward once, and no trading or purchase of financial products is required. The specific account opening and reward rules are subject to the official announcement.Gate Money is an integrated financial service application within the Gate App, facilitating cross-border capital flow and daily consumption scenarios. Eligible users can directly open a USD bank account in their own name with one click through the Gate App. The platform supports cross-border deposits and withdrawals in four major fiat currencies: US Dollar (USD), Euro (EUR), British Pound (GBP), and United Arab Emirates Dirham (AED) via SWIFT, and integrates functions such as Convert asset exchange, Earn financial management, Gate Card consumption, and Pay payment, achieving efficient connections from global fund transfers, multi-currency asset management to daily payments.

Huawei Ascend 950PR's matrix computing speed is only 43% of H100

The semiconductor research organization SemiAnalysis has released the actual test results of Huawei's Ascend 950PR. The organization selected 1,055 sets of commonly used matrix calculations for large models. Huawei's own underlying program has allowed the 950PR to achieve 86% of its theoretical computing power, higher than NVIDIA's H100 at 75.5%; however, the actual computation speed is still only 43% of the H100, and only 21% compared to the relatively newer B300. This set of results has not yet utilized the newly ported operators from DeepSeek.DeepSeek is working on reducing data movement and waiting from the software side. In attention computation, after adjusting storage with FlashMLA, the two sets of data that originally needed to be read separately can now be retrieved at once; TileLang allows the chip to compute while preloading the next batch of data. SemiAnalysis measured that automatic scheduling has reduced the time for some small computing tasks by up to about 40%. DeepSeek has also ported DeepEP, which is responsible for MoE expert communication, but communication and computation will still compete for memory bandwidth, and Huawei plans to continue improving the firmware.Last year, DeepSeek attempted to train R2 using Huawei's Ascend chips, but even with Huawei engineers on-site for assistance, it could not be completed due to issues related to chip stability, inter-card communication, and software support. This year, both parties continue to collaborate, and by the end of September, DeepSeek focused on publicly releasing six sets of Ascend adaptation code. In October, it was reported that Huawei is adjusting the next generation of chip designs according to DeepSeek's model requirements. The 950PR tested this time is mainly aimed at inference input processing, while DeepSeek is preparing to use the 950DT for large-scale pre-training as early as the end of the year. Previously, both parties had conducted tests at the thousand-card level, but to enable tens of thousands of chips to complete a round of large model training continuously, more complex coordination and stability issues still need to be resolved.
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