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Spectra 18.qxd 01-<strong>Dec</strong>-23 10:59 AM Page 2<br />

<strong>ST</strong>RATEGY: TAPE <strong>ST</strong>ORAGE<br />

THE RESURGENCE OF TAPE<br />

MATT NINESLING, SENIOR DIRECTOR TAPE PORTFOLIO, SPECTRA LOGIC, SHARES THREE CURRENT USE<br />

CASES THAT ARE DRIVING ORGANISATIONS TO TAKE A SECOND LOOK AT TAPE TECHNOLOGY<br />

af<br />

As every aspect of our world becomes<br />

more digitised, data storage has been<br />

elevated from an "afterthought" to a<br />

primary enabler of business, research, social<br />

and financial progress. And as the role of data<br />

storage changes, the technology behind<br />

storage has advanced significantly. Nowhere is<br />

this more evident than in the advancement of<br />

tape technology.<br />

The inherent characteristics of tape - density,<br />

affordability, removability - have always made<br />

tape a top consideration for archiving,<br />

compliance and data protection goals. When<br />

combining these attributes with new<br />

technology, such as S3-compatible object<br />

storage, tape becomes a game changer in<br />

addressing the critical challenges facing<br />

modern businesses and organisations today.<br />

Too often, the discussion has focused on<br />

"either/or" scenarios for storage - disk or tape,<br />

on-premises or cloud. By front-ending disk,<br />

tape and cloud with an object interface, the<br />

conversation can now focus on the attributes<br />

required of storage for any particular job. And<br />

that's driving organisations to take a second<br />

look at tape technology.<br />

ARCHIVES: THE VISION FOR AI WILL<br />

REQUIRE TAPE ACCESS<br />

AI and associated machine learning models<br />

require massive amounts of data in order to<br />

"train" and provide improvements in everything<br />

from research algorithms to line manufacturing<br />

to self-driving cars.<br />

Depending on the level of automation, selfdriving<br />

cars will generate between 1.4 and 19<br />

terabytes (TB) of data per hour, as<br />

presented by autonomous driving<br />

technology Systems Architect<br />

Stephan Heinrich at the 2017 Flash Memory<br />

Summit. A single car could produce anywhere<br />

between 380 TB to 5.1 petabytes (PB) of data<br />

in a single year. This is just one example of the<br />

massive amounts of data created by and used<br />

by AI.<br />

Because AI is driving virtually every aspect of<br />

business, research, and development, multipetabyte<br />

archives are becoming organisational<br />

standards. Recent lawsuits over the use of<br />

copyrighted materials for the training of AI<br />

models, as well as defamation litigation<br />

responding to false information generated by<br />

AI chatbots, only highlight the need for this<br />

training data to be preserved for the long term.<br />

These archives must be accessible and<br />

searchable. The introduction of S3-compatible<br />

object-based tape makes today's tape<br />

technology the ideal building block for such<br />

archives. Object-based tape is highly scalable,<br />

searchable and can even be tagged for future<br />

retrieval.<br />

Combined with new developments in tape<br />

density, which enable a native storage capacity<br />

of 50TB on a single cartridge, tape not only<br />

maintains its cost-competitive edge against<br />

other storage approaches such as disk and<br />

cloud, it is the unequivocal dominant leader in<br />

affordability.<br />

Additionally, modern tape offerings provide<br />

much greater data integrity and reliability,<br />

incorporating error correction codes and<br />

automated data integrity verification checks to<br />

minimise the risk of data degradation over<br />

time. In the event of catastrophic data loss or<br />

corruption, having archived AI training data on<br />

tape provides a reliable means of data<br />

recovery as the tape is stored offline,<br />

presumably securely, and is less susceptible to<br />

accidental deletions. Archiving AI training data<br />

18 <strong>ST</strong>ORAGE <strong>Nov</strong>/<strong>Dec</strong> <strong>2023</strong><br />

@<strong>ST</strong>MagAndAwards<br />

www.storagemagazine.co.uk<br />

MAGAZINE

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