Researchers have obliterated the record for fastest storage ever

Researchers used DPUs to tackle data processing workloads

When you purchase through links on our site, we may earn an affiliate commission.Here’s how it works.

Dutchhigh-performance computing (HPC)researchers have managed to achieve a speed of 6.55 million random read IOPS using a storage node designed by Fungible.

According to Fungible, a storage start-up based in California, the test results represent the highest recorded performance between a single server reading data and a single storage target - almost double the previous best.

“What we are achieving in the lab…can be deployed throughout the world…Ultimately, it is revolutionizing the performance, economics, reliability and security of scale-out data centres,” said Pradeep Sindhu, CEO and co-founder of Fungible.

Reporting on the development,Blocks & Filessays the record was achieved using the company’s FS1600 storage node powered by aData Processing Unit (DPU)designed by Fungible itself.

Offloading storage logic

Offloading storage logic

The test was conducted jointly by SURF, an association of Dutch educational and research institutions, and Nikhef, a partnership between the Institutes Organization of the Dutch Research Council and six universities.

According to reports, Nikhef is on the hunt for a fast and affordable data processing mechanism with a view to efficiently process the data flowing from experiments at CERN when the High-Luminosity LHC (HL-LHC) accelerator becomes operational in 2026.

In the Dutch test, the FS1600 storage node, placed inside a 2U, 24-slot NVMeSSDbox with two F1 DPU controllers, was used together with a 64-coreAMD-powered server over a NVMe-over Fabrics connection.

Are you a pro? Subscribe to our newsletter

Are you a pro? Subscribe to our newsletter

Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!

Fungible claims the technology can be scaled linearly and deliver up to 300 million IOPS in a single 40 RU rack.

The company claims that the results show that FS1600 helps decrease cost per IOPS, further improving the utilization of storage media, as compared to existing software-defined storage solutions, which makes them useful for all kinds of data-centric workloads.

With almost two decades of writing and reporting on Linux, Mayank Sharma would like everyone to think he’sTechRadar Pro’sexpert on the topic. Of course, he’s just as interested in other computing topics, particularly cybersecurity, cloud, containers, and coding.

This new malware utilizes a rare programming language to evade traditional detection methods

Google puts Nvidia on high alert as it showcases Trillium, its rival AI chip, while promising to bring H200 Tensor Core GPUs within days

I’ve been covering Apple Watch deals for years – This is the one model most people should buy on Black Friday