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Flash

Western Digital CPO: Flash memory handles the present, HDD manages the entire lifecycle

Ahmed Shihab, Chief Product Officer of Western Digital, stated that the key to AI storage competition is not simply pursuing the fastest medium, but whether it can continuously scale capacity at an affordable cost. He believes that many architectures run well in the early stages, but when the data scale grows from several PB to hundreds of PB or even EB levels, issues may arise due to uncontrolled costs.Flash storage is suitable for high-performance, low-latency scenarios such as model weights, GPU overflow, KV caches, and session contexts; HDDs are more suitable for large-scale, long-term storage, and cost-sensitive data such as training corpora, logs, checkpoints, compliance records, synthetic data, and inference outputs. He summarized: "Flash handles the present, HDD handles the entire lifecycle."At the scale of AI, storage costs themselves will become an architectural issue. Long-term storage of large volumes of data on high-performance media will crowd out budgets for computing, networking, power, and personnel. For many bulk storage workloads, the issue is not whether flash can store, but whether customers can afford the total cost of using flash in the long term.In the future, AI storage will not be dominated by a single technology, but should be designed in layers based on performance, cost, power consumption, density, reliability, and data lifecycle. He emphasized that this is not a competition between flash and HDD, but rather a need to match the appropriate medium for different workloads from the very beginning; otherwise, the architecture may impact business sustainability as it scales.

hot_img DeepSeek V4 Flash's weekly call volume exceeds 70 trillion tokens, ranking first in the world, with four out of the top five domestic models

According to data from the multi-model aggregation platform OpenRouter, from July 27 to August 2, DeepSeek V4 Flash topped the global AI large model usage ranking with a call volume of 7.22 trillion tokens. Data from the open-source platform OpenCode shows that this model alone processed 8 trillion tokens on August 1. Four out of the top five positions are occupied by Chinese large models: Xiaomi's MiMo-V2.5 (5.1 trillion), Tencent's Hunyuan Hy3 (5.01 trillion), and another DeepSeek V4 Flash model (3.45 trillion) ranked second to fourth, while OpenAI GPT-5.6 Luna (2.99 trillion, a month-on-month increase of 738%) ranked fifth.The total call volume of Chinese large models last week reached 28.13 trillion tokens, surpassing the United States for 14 consecutive weeks, firmly holding the top position globally. The previously highly anticipated Kimi K3 fell out of the top ten this week, ranking 12th. It is noteworthy that free models are capturing an increasing share of traffic, with some models experiencing month-on-month growth exceeding 50%. Analysis indicates that domestic models have shifted from price competition to relying on inference performance and stable service capabilities, but companies like OpenAI and Anthropic continue to iterate, accelerating the internal competition and the pace of product iteration will determine user retention capabilities.

Allbridge suffered a loss of approximately $1.65 million due to a flash loan attack, and the cross-chain protocol has been suspended

According to Decrypt, the cross-chain bridge protocol Allbridge has suspended its Core protocol due to a flash loan attack, with the attacker having stolen approximately $1.65 million in assets from the Solana stablecoin liquidity pool.According to analysis by blockchain security firms PeckShield and CertiK, the attacker borrowed $1.12 million in flash loan funds through the Solana lending protocol Kamino, and then manipulated the price mechanism within the Allbridge pool through multiple stablecoin exchange operations to exchange assets at a low price, subsequently transferring the funds across chains to an Ethereum address.During the attack, the attacker exchanged several thousand dollars in USDT to obtain approximately $2.24 million in USDC, and then bridged the funds to Ethereum for further dispersal. It is currently unclear whether some of the funds can still be recovered.Allbridge stated that the team has suspended the Core protocol for security reasons and has requested affected liquidity providers to withdraw their funds immediately. Due to the attack causing an imbalance in the liquidity pool, some traders profited from arbitrage opportunities. Allbridge has called on relevant users to return their profits, stating that the funds will be used to compensate affected LPs.The team indicated that there is no further risk to user funds at this time and will release a detailed incident analysis report after completing the investigation, while also planning to relaunch the Core protocol after removing the liquidity pool. This is the second time Allbridge has encountered a similar flash loan attack. In April 2023, the protocol's BNB Chain liquidity pool suffered a loss of approximately $573,000 due to a similar vulnerability, after which the project team stated that they had recovered most of the funds and adjusted the liquidity calculation mechanism.
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