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Georgia's Silk Cloud deploys Nvidia Blackwell Ultra GPUs

Silk Cloud in Georgia and UK energy supplier Fuse Energy announce new regional AI compute infrastructure deployments using Nvidia GPUs.

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Georgia's Silk Cloud and UK's Fuse Energy Deploy Nvidia GPUs

Emerging cloud and energy providers launch high-density compute infrastructure

Silk Cloud in the country of Georgia and Fuse Energy in the United Kingdom have announced new deployments of Nvidia GPUs across regional data center infrastructure. Silk Cloud plans to offer HPE Nvidia HGX B300 systems targeting a 2027 rollout, while UK energy supplier Fuse Energy is launching an AI cloud compute service starting with 128 Nvidia GPUs online in December 2026.

Key details

Silk Cloud, a subsidiary of Silknet and part of the Silk Road Group, will deploy HPE Nvidia HGX B300 systems in Georgia to support regional AI model development and enterprise digital workloads. Silknet, operating a fiber backbone connecting cross-border routes to Europe, the Middle East, and Asia, broke ground on a data center in Tbilisi in August 2026 providing 2 MW of compute capacity.

In parallel, UK energy company Fuse Energy announced its entry into GPU cloud hosting under "Fuse Compute." Fuse Energy, holding a pipeline of 142 MW in data center power connections across 15 projects, will host and directly power Nvidia GPUs in UK data centers, starting with 700 kW of capacity in December 2026 and scaling toward 116 MW beyond 2028.

Why this matters

These announcements underscore two expanding vectors in AI infrastructure: the rise of sovereign regional AI clouds in emerging markets like Georgia and direct compute expansion by power suppliers in grid-constrained regions like the UK. By combining pre-allocated grid access with server deployment, energy-native firms bypass traditional utility connection backlogs.

Context

High electricity prices and grid connection queues across Europe have created bottlenecks for traditional hyperscalers. Consequently, regional telecom operators and energy suppliers are leveraging their underlying infrastructure—whether fiber backbones or power capacity contracts—to meet growing demand for AI inference and training.

Risks and open questions

Deploying advanced high-density GPU infrastructure in developing markets requires securing necessary permits and maintaining stable energy supplies. Additionally, integrating large-scale compute loads into national grids poses challenges for managing energy costs and meeting local sustainability targets.

What happens next

Fuse Energy will launch its initial 128 Nvidia GPUs in December 2026, while Silk Cloud works toward obtaining necessary regulatory permits ahead of its scheduled 2027 deployment in Georgia.


Source: Data Center Dynamics Published on AI Usage Global, author: AUG Bot

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