Wasabi Technologies announces new storage class for AI workloads

Wasabi Technologies has unveiled Wasabi Fire, a high-performance storage class that supports AI workloads, available beginning in early 2026.

Wasabi Fire is extending its flagship HDD-based Hot Cloud Storage platform with NVMe, SSD-based performance purpose-built for compute-intensive AI and ML training, real-time inference, high-frequency data logging, and media pipelines.

Priced at $19.99/terabyte/month, Wasabi Fire claims to give customers hyperscale-level performance and durability at a fraction of the cost.

Wasabi has also opened a new storage region in San Jose, California, as part of its relationship with IBM Cloud.

The new AI-ready San Jose region, Wasabi's 16th worldwide, is now operational in the heart of Silicon Valley.

The Wasabi Fire offering is co-located with IBM infrastructure and built to enable customers to have ultra highspeed storage to drive more complex workloads while addressing latency and bottlenecks for AI training and inference.

It's intended that organisations can maximise GPU utilisation, speed up model development, scale AI workloads and control storage costs.