Active Archive Blog

The Library of Congress contains more than 25 million cataloged books, 74.5 million manuscripts, 5.6 million maps, 8.2 million items of sheet music, 4.2 million audio materials, and 17.3 million visual materials – the oldest item dates from 2040 BC....

AI requires the ultimate in performance: a vast number of CPUs and GPUs tightly packed in highly dense racks that applications can access information with zero latency. It demands huge amounts of power to operate the data center, as well...

The unprecedented progress of AI technology over the past couple of years has many in awe. They foresee an entirely new future where AI provides insight into everything and is woven into every fabric of existence. There may be some...

As time advances, active archives will grow far beyond their current dimensions. Thus, their capabilities must continue to advance to ensure they serve market needs. This is particularly true when it comes to the capabilities being unleashed by AI. It...

There are a great many different types and categories of AI: Artificial Narrow AI, General AI, Super AI, Reactive Machine AI, Limited Memory AI, Theory of Mind AI, Self-Aware AI, and, of course, the one on everyone’s lips, Generative AI (GenAI)....

In the next few years, we will see a massive increase in the volume of data stored. According to some estimates, there will be close to 200 zettabytes of data globally by the end of 2025. To cope with that...

[caption id="attachment_1560" align="alignleft" width="300"] EPRI predicts a severe energy shortfall in the years ahead as AI becomes mainstream. The blue line represent data center energy consumption; the red line represents the ability of the energy system to provide electricity.[/caption] Enhanced...

AI can be expensive – very expensive. Consider a few of the costs: The large language models (LLMs) that spit out data and answers from the likes of ChatGPT must train on hundreds of billions of data points for months...

If you know one thing about AI, it’s that it requires a lot of data to train. The more data you can feed into a large language model (LLM), image generator, or recommendation algorithm, the better the results become. But...

Data is being generated faster than ever, and the rate is accelerating exponentially. Businesses are reluctant to discard information they’ve developed, and they are often legally required to preserve the information they have collected. The overwhelming majority of information being...