Huawei released an AI SSD which uses a secret sauce to reduce the need for large amounts of expensive HBM

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Huawei has made a significant advancement in memory technology with the release of its AI SSDs, aiming to address the escalating challenges associated with artificial intelligence workloads. The company introduced the OceanDisk EX, OceanDisk SP, and the OceanDisk LC 560, marking a pivotal shift from traditional high-bandwidth memory (HBM) systems. This move comes amid supply constraints that have restricted Chinese firms’ access to HBM, driving the need for innovative solutions.

The OceanDisk LC 560 stands out as the largest SSD ever created, boasting a whopping capacity of 245TB. At Huawei’s recent Data Storage AI SSD launch event, company executives highlighted the importance of overcoming the “memory wall” and “capacity wall,” which pose significant bottlenecks to AI training efficiency. Zhou Yuefeng, the vice-president and head of Huawei’s data storage product line, emphasized that these issues are critical to the performance and cost-effectiveness of IT infrastructures. Overcoming these barriers is essential for fostering a positive AI business cycle.

The specifications of the new drives reveal their capabilities. For instance, the OceanDisk EX 560 is labeled as an “extreme performance drive,” featuring write speeds of 1,500K Input/Output Operations Per Second (IOPS) and incredibly low latency of less than 7 microseconds. This drive also boasts an impressive endurance of 60 Drive Writes Per Day (DWPD), which means it is well-equipped to handle the demands of fine-tuning large language models (LLMs). Huawei claims that this drive can increase the number of fine-tunable model parameters on a single machine sixfold, which has practical implications for companies heavily reliant on machine learning applications.

On the other hand, the OceanDisk SP 560 presents a more cost-effective option with a performance of 600K IOPS, but with lower endurance of only 1 DWPD. This model is primarily aimed at inference scenarios, where it reportedly reduces first-token latency by 75% while doubling throughput. This feature is especially critical in applications where speed and efficiency are paramount, enabling companies to enhance user experiences without incurring excessive costs.

In a bid to further diversify its offerings, the LC 560 is designed for high-capacity workloads, handling read bandwidths of up to 14.7GB/s. This model is particularly suitable for managing large multimodal datasets during cluster training processes, giving businesses the scalability needed to manage growing data needs. However, the practical scalability of these new drives will heavily rely on how well they integrate into existing infrastructures, a crucial factor for organizations looking to adopt new technology seamlessly.

Complementing the hardware innovations, Huawei also introduced DiskBooster, a software driver that promises to enhance pooled memory capacity by twentyfold by integrating AI SSDs with HBM and DDR. This driver aims to optimize memory usage across different types of storage technologies, which can significantly improve operational efficiency. Furthermore, the introduction of multi-stream technology seeks to minimize write amplification, thus extending the longevity of these SSDs and providing cost savings through reduced replacement needs.

As the United States continues to tighten technological controls, especially concerning advanced HBM chips, Huawei’s latest foray into SSD technology is also a strategic maneuver to lessen China’s dependence on imported components. By emphasizing domestic NAND flash technology and shifting focus to SSD advancements, Huawei is positioning itself as a leader in a critical segment of the tech industry.

Overall, while the innovative designs of the OceanDisk series show promising potential, the ultimate success of these SSDs will rely on how effectively businesses can adopt the technology and the extent to which existing systems can accommodate them. Nevertheless, Huawei’s commitment to enhancing AI infrastructure represents a compelling development in the battle against data processing limitations.

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