FEATURE : SOFTWARE
Backstory : Cloudian HyperStore 8.0
HyperStore 8.0 runs on a system powered by a next-generation AMD EPYC 9454 CPU with Micron 6500 ION SSDs .
In October 2023 it was announced that HyperStore 8.0 had achieved a new standard of performance and efficiency , delivering over 17.7GB / s write and 24.9GB / s read from a cluster of six power-efficient , single-processor servers – a 74 % power efficiency improvement versus an HDD-based system in Cloudian testing .
Cloudian object storage is increasingly deployed in primary data applications that require high throughput , such as data analytics and AI / ML .
In addition to demonstrating the high throughput levels required for these real-time use cases , the single-processor , all-flash platform also reduced power consumption per GB transferred by more than 74 % compared with HDD-based platforms tested previously . collaboration with AMD and Micron demonstrates that we can push the boundaries , delivering cutting-edge all-flash solutions that empower organizations to meet the ever-increasing demands of data storage and management .”
4th Gen AMD EPYC processors offer a range of features that complement Cloudian ’ s HyperStore 8.0 platform , including up to 1152 MB of L3 cache , support for up to 160 PCIe Gen 5 lanes ( 2 socket configuration ) and AVX-512 instruction support for enhanced High-Performance Computing ( HPC ) and Machine Learning ( ML ) performance .
“ We have worked closely with Cloudian and Micron to help ensure our customers get the best out of AMD EPYC CPU ’ s capabilities and features , while delivering exceptional object storage performance to the market ,” said Kumaran Siva , Corporate Vice President , Strategic Business Development , AMD .
Power efficiency is emerging as a key consideration as power costs rise .
HyperStore 8.0 incorporates advanced multi-threading technology and kernel optimizations to capitalize on the next-gen AMD EPYC 9454 processor , with its I / O bandwidth capabilities enabled by 48 cores and 128 PCIe lanes .
“ Our 4th Gen AMD EPYC processors are designed to power the most demanding workloads , and this collaboration showcases their capabilities in the context of object storage .”
Micron ’ s 6500 ION NVMe SSDs – the world ’ s first 200 + layer NAND data center SSDs – provide an optimal balance of capacity , performance and efficiency .
This combination was then optimized to leverage the Micron 6500 ION SSDs which deliver over 30 times more 4KB random write IOPS than competitive QLC SSDs .
With 30.72 TB of storage and impressive read and write speeds , these SSDs address the growing data storage needs of IT departments while promoting sustainability .
The collaboration is billed as bringing together next-gen technologies to create energy-efficient and cost-effective solutions for modern software-defined storage deployments .
“ Our customers need storage solutions that deliver extreme throughput and efficiency as they deploy Cloudian ’ s cloudnative object storage solutions in mission-critical , performance sensitive use cases .” said Michael Tso , CEO , Cloudian . “ This
“ Micron is committed to providing innovative storage solutions that enable businesses to thrive ,” said Jeremy Werner , Corporate Vice President and General Manager of Micron ’ s Storage Business Unit .
“ Our collaboration with Cloudian and AMD highlights the exceptional performance and efficiency of our Micron 6500 ION NVMe SSDs .”
HYPERSTORE 8.0 RUNS ON A SYSTEM POWERED BY A NEXT-GENERATION AMD EPYC 9454 CPU WITH MICRON 6500 ION SSDS .
“ The days of legacy storage systems , with their single-site storage silos , limited protocol support , and complex proprietary infrastructure are over ,” said Michael Tso , CEO , Cloudian .
“ HyperStore 8 sets a new benchmark in performance and efficiency by enabling our customers to fully leverage their object and file data across both modern and legacy applications regardless of the data capacity , physical location or data format , all on industry standard hardware and within a simple global management framework .” p
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