AI Inference Datacenter Infrastructure Architect

Custom Silicon vs GPU Power Envelopes, Liquid Cooling & Token Cost Optimizer
SIMULATOR ACTIVE
Cost / Million Tokens $0.062 Capex amortization + facility power
Cluster Inference Throughput 54,200 tok/s Total concurrent generation
Total Cluster Power 720 kW 16 Racks @ 45 kW IT Load
Facility PUE 1.18 Direct-to-Chip Cold Plates
Thermal Headroom 28.5% Margin below delta-T limit
Monthly Power Bill $55,050 @ $0.09 / kWh base tariff
Cluster Thermal Floorplan Map Hover/Click Rack
16 Active Racks • Direct-to-Chip Liquid Cold-Plate Manifold
Roofline Execution Boundary Memory-BW Bound
Operational Point: Arithmetic Intensity = 48.2 FLOP/Byte
Specialized Inference Silicon vs Legacy GPU Matrix Live TCO Breakdown
Architecture Cooling & PUE Density (kW/rack) Throughput Monthly Power Cost / 1M Tokens Efficiency Gain
Datacenter Substation & Facility Budget
Facility Peak Load
849.6 kW
Cooling Overhead
129.6 kW
Chassis Accelerators
128 ASICs
Inter-Token Latency
14.2 ms / token
Interconnect Fabric Telemetry
Fabric Protocol
RoCE v2 (400G)
KV Cache Bandwidth
3.2 TB/s per Node
Payback vs GPU Baseline
4.8 Months
Annual Power Savings
$412,800 / yr
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