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DapuStor QLC SSDs: Storage Solution for AI

Due to massive scalability and enhanced power efficiency

From DapuStor Corp.

AI technology has evolved rapidly, progressing from simple computing to deep learning and GenAI. This advancement is driven by data, making storage solutions crucial. QLC SSDs are a choice for AI applications due to their massive scalability and enhanced power efficiency.

Dapustor Ssds Qlc Intro

Why AI large language models need QLC SSDs
In the rapidly evolving field of artificial intelligence, Large Language Models (LLMs) have emerged as a cornerstone technology, transforming industries and revolutionizing how we interact with digital systems. These advanced models, capable of understanding and generating human-like text, rely heavily on vast amounts of data and efficient storage solutions to function effectively.

Data is the lifeblood of LLMs. These models are trained on extensive datasets, encompassing diverse sources such as books, articles, websites, and more. Behind the scenes, advanced storage solutions play a critical role in the success of LLMs. The immense volume of data needed for training and operation demands high-capacity, reliable, and fast storage systems.

QLC SSDs have emerged as key technology in domain, offering several advantages:

  • High scalability: AI workloads demand scalable storage solutions to handle large and growing datasets efficiently. QLC SSDs offer the capacity needed to support the expanding model sizes and high-quality output-driven datasets.
  • Computational efficiency: AI servers use significant computing resources, and limited memory capacity increases storage access frequency. The high-speed reading capability and low latency of QLC SSDs optimize storage performance, ensuring rapid loading and smooth operation of large AI models.
  • Energy-efficient storage: QLC SSDs have a higher energy efficiency ratio compared to HDDs. This improves storage density, reduces power consumption, enhances the efficiency of smart computing clusters, and lowers TCO.

How can DapuStor QLC SSDs help with AI
At the China Flash Memory Summit (CFMS) on March 20, 2024, DapuStor Corp. officially introduced the PCIe Gen4 QLC SSDs, with capacity support of 16 and 32TB, as well as 4K mapping and dual-port features. It can replace SAS/SATA HDDs in core storage scenarios, with sequential read/write and random read close to those of similar TLC products. It combines the high capacity of HDDs and bandwidth comparable to TLC, bridging the cost and performance gap between TLC SSDs and HDDs.

At the same time, it requires only 12W of power consumption at 7G read bandwidth, making it for low-power, high-capacity and high-density storage scenarios. The high-speed read capability and high capacity of QLC SSDs significantly accelerate the loading of large AI models and the preprocessing of big data before AI inference.

QLC SSDs vs. HDDs
In a 10PB storage cluster, it requires 595 24TB HDDs and 50 servers. Switching to DapuStor’s 32TB PCIe Gen4 QLC SSDs reduces this to 347 SSDs and 29 servers, cutting the required volume by approximately 42%. Additionally, the number of racks needed is halved. DapuStor QLC SSDs consume 30% less power over 5 years compared to HDDs. As a direct HDD replacement, the company’s QLC SSDs reduce the TCO by 41%, offering significant cost savings.

Dapustor Qlc Ssds Essential Storage Solution For Ai F1QLC SSDs vs. TLC SSDs
DapuStor QLC SSDs offer comparable read performance to TLC SSDs but at a lower cost per bit and with less physical space required for the same storage density. And the TCO of the firm’s QLC SSDs is about 20% lower per terabyte than TLC SSDs. Therefore, the company’s QLC SSDs are for read-intensive or latency-insensitive scenarios, such as warm and cold data storage in data centers, edge caching in content distribution networks, and separating hot and cold data in cloud computing platforms.

Dapustor Qlc Ssds Essential Storage Solution For Ai F2Overall, QLC SSDs offer greater storage capacity and lower ownership costs compared to TLC SSDs. While they lag behind TLC SSDs in performance, they outperform HDDs in terms of performance, efficiency, space, power, and cooling costs.

Driven by technological advancements and market needs, DapuStor has developed QLC SSDs to support AI applications. Aiming to enhance storage performance and cost-effectiveness through innovation, the firm’s QLC SSDs offer faster data access and higher storage density, improving model training and inference times while reducing data processing costs. the firm is committed to advancing technology to drive breakthroughs and applications in AI.

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