DeepInfra opens Toronto data center to expand AI inference GPU capacity

DeepInfra opened a new data center location in Toronto to expand the GPU capacity available for AI inference workloads. The company said the site represents its first data center outside the United States and expands its global footprint for inference processing.

The release links the move to increased inference demand as organizations shift from model training to production-scale deployment. It also cites research projections that AI inference would account for more than 40% of total data center demand by 2030 and grow at an estimated ~35% compound annual growth rate.

The Toronto facility is described as a 1.7 MW data center that hosts more than 1,000 NVIDIA Blackwell B300 GPUs. DeepInfra also described its platform as a managed cloud inference offering that processes open-source and proprietary AI and agentic models at scale and provides OpenAI-compatible APIs along with data retention and security compliance that includes SOC 2 and ISO 27001.

The company stated the Toronto location marked its ninth data center overall. It said the facility followed a Series B investment and that it planned additional international deployments under evaluation as demand for GPU-intensive workloads continued to grow.

“Enterprises are moving from experimentation to production at unprecedented speed, and that shift demands infrastructure that is both scalable and globally distributed,” said Nikola Borisov, CEO and co-founder of DeepInfra. “This Toronto cluster is a foundational step in expanding our capacity beyond the U.S. and ensuring customers can run AI workloads closer to where their users and data reside.”