if(!defined(‘ABSPATH’)) exit; Page 2 – Backblaze Blog | Cloud Storage & Cloud Backup

What Network Data Can and Can’t Tell Us About AI Infrastructure

An abstract data visualization-style image made up of evenly spaced oval dots over a dark blue, red, and orange gradient. Pale dots form subtle wave-like clusters across the pattern, suggesting network traffic, data flow, signal density, and movement across distributed infrastructure.

AI infrastructure is difficult to observe directly. That’s because AI systems are highly distributed. They span storage platforms, GPU clusters, training pipelines, and multiple cloud providers—and those looking to optimize their stacks have to build out a visibility layer that takes all of those things into account. Data is constantly moving between different tools and… Continue reading What Network Data Can and Can’t Tell Us About AI Infrastructure

Your AI Strategy Is Only as Strong as Your Data Foundation

AI strategy depends on the data infrastructure beneath it.

Two-thirds of enterprise leaders see significant potential in integrating AI models with their proprietary data. Yet only 22% feel confident their current IT infrastructure could actually support new AI applications. That gap—between ambition and capability—is where most AI investments stall, budgets balloon, and promising projects quietly get shelved. The problem isn’t the models, the change… Continue reading Your AI Strategy Is Only as Strong as Your Data Foundation

GPUs Are Only Half the Equation

GPU availability is only half the equation for AI cloud performance. As AI workloads scale, upstream object storage must deliver sustained throughput, predictable data movement, and fast rehydration to keep expensive GPU clusters fully utilized. Learn how Backblaze B2 Neo helps neocloud platforms solve the data pipeline bottleneck and turn storage into a native platform advantage.

GPU availability is only half the equation for AI cloud performance. As AI workloads scale, upstream object storage must deliver sustained throughput, predictable data movement, and fast rehydration to keep expensive GPU clusters fully utilized.