Announcing Syaala: Next-Generation Infrastructure for AI Workloads - Syaala Blog
Company News November 1, 2025 • 3 min read

Announcing Syaala: Next-Generation Infrastructure for AI Workloads

Purpose-built GPU colocation and modular container manufacturing designed from the ground up for AI infrastructure.

AI Infrastructure

The AI infrastructure market is being reshaped by a constraint the industry has underinvested in: high-density, power-rich, factory-integrated build execution at the 1-50 MW range. Hyperscale campuses and traditional enterprise colocation are both optimized for a different era.

Syaala is an infrastructure company focused on that gap.

GPU Colocation

Colocation, engineered for GPU density

The Memphis site is designed around 200 kW-per-rack density, liquid-cooled from day one, with TVA power economics that sit structurally below the national industrial average. The target profile is anchored, power-rich colocation built to specification rather than retrofit.

  • - Up to 200 kW per rack, liquid-cooled
  • - N+1 / 2N power redundancy, ISO 668 standard
  • - 6-month colocation delivery timeline
  • - TVA power economics, Memphis AI corridor
Modular Data Center Containers

Modular data center manufacturing

Modular data center production, based in Memphis, is engineered for Syaala's own deployments, with limited availability for contract and white-label partners. The design targets 25 kW to multi-MW per system (up to 200 kW per rack), sub-1.4 design PUE, and a 3-4 month PO-to-live deployment profile for the 1-10 MW segment.

  • - 25 kW to multi-MW per system, up to 200 kW/rack liquid-cooled
  • - Factory-integrated power, cooling, and rack infrastructure
  • - Design PUE under 1.4, ISO 668 standard
  • - 3-4 month deployment profile, 1-10 MW scale

Looking deeper into AI infrastructure build economics?


About Syaala: Infrastructure company focused on high-density colocation and modular data center manufacturing for the 1-50 MW AI build segment. Based in Memphis, TN. Contact: hello@syaala.com

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