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Nasuni Corp. adds flash cloud storage controller for faster cache

Nasuni puts flash in its cloud storage controller to cache data faster before moving it to Amazon or Microsoft clouds.

Nasuni Corp. today rolled out its first cloud storage controller with flash storage and unveiled a virtual machine that works on Amazon EC2, Amazon S3 and Microsoft Windows Azure clouds.

The NF-600 and NF-600H are all-flash solid-state drive (SSD) appliances, and the NF-440 is a hybrid appliance with SSDs and spinning disk.

Nasuni customers install cloud storage controllers on-site, cache frequently used data and send less-accessed data off to the cloud. Nasuni manages the storage in the cloud using either Amazon S3 or Azure for back-end storage.

The NF-600 includes 24 400 GB SSDs for approximately 8 TB of cache capacity. The NF-440 is available with 11 TB or 22 TB of cache capacity. The NF-440 smaller capacity unit includes three 400 GB SSDs and 11 1.2 TB 10,000 rpm hard disk drives. The larger capacity cloud storage controller has four 400 GB SSDs and 22 1.2 TB 10,000 rpm hard drives.

"From a hardware perspective, this puts us on par with, if not ahead of, Microsoft StorSimple and Panzura," said Connor Fee, Nasuni's director of marketing. "You use hardware where performance matters. We improved write cache with SSD to get a major boost in performance."

Fee said customers who use SSDs trade capacity for performance. "Think of it like a Formula One car," he said of the all-flash model. "It goes ridiculously fast."

The NF-440 is available now, while the NF-6000 is scheduled to become generally available by the end of the year.

The virtual controller was developed for customers who stream a lot of data between the cloud and local controllers. Fee gave an example of law firms that run applications that require frequent indexing.

"Lawyers always want to index data in the volumes, and to do that means you're streaming all data back and forth to local controllers," he said. "That's a lot of data to send back and forth in your pipeline. This way they can deploy [an] indexing file on EC2."

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