Built for what comes next
We design and stand up scalable AI compute capacity — from early pilots to expansion-ready platforms.
AI compute capacity, engineered to scale.
Layeready builds deployable capacity — engineered as a system.
Not generic infrastructure. Not hardware resale.
The compute stack
Modular building blocks for AI compute capacity — delivered as a coherent, deployable system.
Compute
Accelerator-first host profiles designed for stability and scale.
- GPU tiers (training & inference)
- CPU + RAM host profiles
- Vendor-agnostic configs
Storage
NVMe-first designs for performance, burst, and throughput.
- NVMe performance layer
- SSD / object tiers
- Designed for scale paths
Network
Fabric-ready topologies with clean expansion and observability.
- Top-of-rack switching
- Expansion-ready fabric
- Optics + cabling strategy
Power
Delivery planning and monitoring built for staged ramp.
- Utility coordination
- Redundancy targets
- Metering + monitoring
Cooling
Air-to-liquid readiness with controls and instrumentation.
- Air / liquid-ready pathways
- Heat rejection strategy
- Controls + observability
Components are integrated as a system — not sold individually.
Assess → Design → Deliver
A disciplined process that reduces risk, accelerates readiness, and preserves optionality.
Teams building real capacity
We support AI-native operators, enterprises building internal compute, and sponsors backing scalable compute platforms.
- AI-native companies scaling beyond first deployments
- Enterprises building internal compute capacity
- Sponsors and capital partners backing compute platforms
Specific engagements shared selectively.
Let’s map your capacity plan.
Request capacity, discuss timelines, or review a reference architecture.