Backblaze Blog | Cloud Storage & Cloud Backup

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 ap...

There’s a familiar tension in enterprise technology: buy a fully integrated platform or assemble a stack of best-of-breed components. The platform story is compelling: one vendor. One console. One contract. Everything bundled together.

The best-of-breed story is different. Best-of-breed optimizes each layer for performance, flexibility, and cost. Historicall...

AI cloud platforms have spent the last few years competing on GPU availability, interconnects, and cluster performance. That makes sense. GPUs are the engine of AI infrastructure, and demand for them has been relentless.

But a GPU can only work as fast as the data pipeline feeding it.

Think of it like a fleet of race cars. You can have the b...

Every computer vision model is a reflection of the data it was trained on. The precision of the labels, the consistency across annotators, the coverage of edge cases. Get the data right and the model performs. Get it wrong and no amount of architecture or compute will compensate.

AI-assisted annotation tools have made it possible to label at a speed and scale th...

Ransomware and other disruptive attacks rarely succeed because of a single catastrophic failure. More often, they succeed because a system was designed for availability and scale, but not for persistent, adaptive adversaries testing for weak points from the outside.

For infrastructure and architecture leaders, that creates a practical challenge: how do you b...