GPU Capacity
Kw to MW
AI & Performance
Strategy
Infrastructure ready for what's next.
Novem helps executive leaders plan infrastructure for AI, high-performance computing, inference, and next-generation workloads through an independent, requirements-first lens.
Independent advice. No platform agenda. No vendor incentives.
Power Density
34 kW to 200 kW
Cooling Strategy
Liquid or Air
Time to Capacity
3 to 18 Months
Workload Strategy
Training vs. Inference
AI Network Strategy
Performance + Scale
How Novem Helps
We prepare infrastructure for AI and high-performance workloads.
Novem works with executive teams to assess readiness, define the compute approach, and model the economics of infrastructure built for AI and next-generation workloads.
AI Infrastructure Readiness
Assess whether current infrastructure can support AI, training, and inference workloads at scale.
GPU & Compute Strategy
Determine the right compute approach—GPU, accelerators, capacity, and sourcing—for the workloads ahead.
Power, Cooling & Density
Evaluate the power, cooling, and density requirements that high-performance workloads demand.
Performance & Scalability
Ensure infrastructure can scale with performance requirements as workloads and demand grow.
Workload & Placement Strategy
Decide where workloads should run—on-prem, colocation, cloud, or hybrid—based on performance and economics.
Cost & Efficiency Modeling
Model the cost and efficiency tradeoffs that shape the long-term economics of AI infrastructure.
Start With Readiness
AI-ready infrastructure starts with the right decisions.
Before investing in compute, capacity, or platforms, make sure your infrastructure strategy is ready for the workloads ahead.
Book an Executive Strategy Session
No platform agenda. No vendor incentives. Just better decisions.