Inference has overtaken training as the dominant AI workload, consuming two-thirds of all AI compute in 2026. Enterprises now need to execute always-on inference and fine-tuning at large scale, and serving that demand requires a highly efficient AI services platform that can cater to hundreds of customers on a single cloud infrastructure.
Managing external storage for GPU-accelerated AI workloads can be complex—especially when ensuring that storage volumes are provisioned correctly, isolated per tenant, and automatically mounted to the right compute nodes. With Bridge GPU Cloud Management Software (GPU CMS), this entire process is streamlined through seamless integration with DDN EXAScaler.
Managing external storage for GPU-accelerated AI workloads can be complex—especially when ensuring that storage volumes are provisioned correctly, isolated per tenant, and automatically mounted to the right compute nodes. With Bridge GPU Cloud Management Software (GPU CMS), this entire process is streamlined through seamless integration with VAST external storage systems.