Huawei promises up to 90:1 compression technology by using a proprietary dynamic algorithmic technique and a lot of SSDs
Date:
Fri, 26 Jun 2026 23:05:00 +0000
Description:
Huawei unveiled a compression card combining proprietary algorithms and SSD infrastructure to achieve claimed reductions reaching 90:1 under ideal conditions.
FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Huawei claims backup
compression ratios reaching an extraordinary 90:1 level Patented algorithms sit at the centre of Huawei's reduction strategy Four separate reduction stages shrink data before long-term storage Huawei has unveiled a hardware compression card claiming a data reduction ratio reaching as high as 90:1 under suitable workloads.
The figure applies specifically to backup data carrying high redundancy, such as daily full virtual machine backups accumulated over time. Huawei says this result sits 20% higher than the leading alternative currently available
across the enterprise storage market. Latest Videos From Watch full video here: A patented algorithm built around a nonlinear transformation The card forms part of Huawei's all-flash OceanProtect Backup Storage systems, including two newly announced models, the X8100 and X9100.
Compression relies on a proprietary algorithm family Huawei calls HZU, described by the company as using a fast nonlinear transformation paired with lightweight context prediction methods. You may like Next-gen 128TB SSDs set to squeeze data on the fly thanks to a new smart chip Googles new compression drastically shrinks AI memory use while quietly speeding up performance Compressions new goal: Reducing how much an AI overthinks
Huawei says this approach outperforms the long-established Lempel-Ziv compression paradigm, boosting the achievable compression ratio by roughly
30% under comparable conditions.
The dynamic technique is patented, covering both the deduplication and compression methods used throughout Huawei's wider backup architecture. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro
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Selecting the most suitable algorithm depends heavily on the specific backup policy and underlying data types involved in each deployment.
Earlier generation OceanProtect systems achieved a comparatively modest 72:1 reduction ratio, meaning the newly announced generation also runs up to 50% faster. Reduction pipeline relies on dense SSD deployment Reduction happens across four distinct stages, beginning with preprocessing designed to clean incoming data before further processing occurs. What to read next This SIM-card-sized 8TB PCIe 5.0 SSD hits 11GB/s, but AI firms will likely hoard them all PowerStore Data Efficiency Paper DapuStor launches 245TB PCIe Gen5 SSD for Enterprise Storage
This is followed by multi-layer, inline, and variable-length deduplication, then HZBC compression, and finally byte-level compaction applied to whatever data remains.
The compression card additionally offloads up to 22% of processing demand
away from the backup system's main CPU during operation.
That offload matters because OceanProtect systems rely on all-flash media rather than cheaper disk-based alternatives for storage.
Huawei specifically uses QLC storage media paired with an adaptive SLC zone reserved for frequently accessed hot data.
This combination is intended to support faster data recovery once backups eventually need restoring during outages.
Since SSD capacity costs considerably more than disk per terabyte, squeezing more effective storage out of the same physical drives directly improves the economics of an all-flash backup system.
In that sense, the compression algorithm and the SSD architecture work together, with the algorithm doing the actual reduction and the flash media determining why that reduction pays off.
Prospective customers will likely need to test the OceanProtect platform directly against their own backup data sets.
Whether customers experience reductions approaching 90:1 will likely depend heavily on datasets, retention policies, and real-world deployment
conditions.
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