A 30000TB tower powered by a 70-year-old technology Spectra Logic proves that data tape still has a place in an AI … – TechRadar

Spectra Logic has introduced the Spectra Cube tape library, a cloud-optimized system for on-premise, hybrid cloud, and IaaS environments that is designed to be quickly deployed, dynamically scaled, and easily serviced without tools or downtime.

The Spectra Cube library is managed by the company's recently announced LumOS library management software, which provides secure local and remote management and monitoring.

The tower is compatible with LTO-6, LTO-7, LTO-8, and LTO-9 technology generations and will reportedly support LTO-10 when it becomes available. LTO-6 support allows users to read old tapes all the way back to LTO-4 with an LTO-6 tape drive. The solution features high tape cartridge exchange performance, a TeraPack Access Port for easy tape handling, and drive interfaces including Fibre Channel and SAS.

With a capacity-on-demand expansion model, the Spectra Cube allows for additional tape slots and drives to be enabled via software without downtime. The library offers up to 30PB of native capacity and supports up to 16 partitions for shared or multi-tenant environments.

"As cloud data continues to grow rapidly, the escalating costs of public cloud storage have forced a reckoning, leading to significant interest in moving data to more economical locations including on-prem clouds and hybrid clouds, said Matt Ninesling, senior director of tape portfolio management at Spectra Logic.

Compared to typical public cloud options, Spectra Cube solutions can cut the costs of cold storage by half or more, while providing better data control and protection from existential threats like ransomware.

The price of a fully-fledged Spectra Cube library ranges from under $60,000 to over $500,000 depending on configuration, number of tape drives, amount of media, and other additions to the base library.

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A 30000TB tower powered by a 70-year-old technology Spectra Logic proves that data tape still has a place in an AI ... - TechRadar

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