AI CLOUD INFRASTRUCTURE

INDEPENDENT AI CLOUD INTELLIGENCE

Plan the cloud
behind the model.

Compare GPU capacity, understand inference economics and ask providers for evidence before you commit.

THE BUYING SEQUENCEWorkload to contract
01 / DEFINEWorkload and SLO
02 / MODELCapacity and cost
03 / VERIFYDelivery and evidence

01 / INFRASTRUCTURE FIELD GUIDE

Follow the infrastructure
from GPU to facility.

A usable cloud proposal connects compute, storage, the network and operations to the work you need done.

01 / COMPUTE

GPU Clusters

Plan usable GPU hours, network topology, checkpoint paths and failure recovery.

Explore GPU Clusters

02 / INFERENCE

Model Serving

Compare dedicated replicas and managed endpoints against the same traffic and latency requirements.

Explore Model Serving

03 / FACILITIES

Power and Delivery

Connect the workload plan to site power, facility milestones and fallback capacity.

Explore Power and Delivery

03 / RESEARCH DESK

Ask what the numbers mean.

RESEARCH NOTE 01

Measure Useful Work

Put MLPerf, repeat runs, utilization and recovery evidence in their proper context.

Explore Measure Useful Work

RESEARCH NOTE 02

Power and Delivery

Read the IEA’s data-centre findings and translate power claims into questions a provider can answer.

Explore Power and Delivery

RESEARCH NOTE 03

Govern the Handoff

Use a traceable acceptance record for security, regions and production accountability.

Explore Govern the Handoff

FROM RESEARCH TO PROCUREMENT

Start with an evidence brief

Take the workload, questions and evidence gaps into your next provider conversation.

Build your brief