KR SOVEREIGN AI COMPUTE AUDIT

Sovereign AI Capacity & Token Queue Simulator

512 Nvidia B200 GPUs • 10 Trillion Won ($7.2B) Initiative • 51.7M Citizens

PRESETS:

Cluster & Civic Parameters

512 GPUs
Baseline: 512 GPUs across national telcos / data centers
5.0% (2.58M citizens)
South Korea population: 51,700,000
3 queries/day
450 tokens
2.5× baseline
Concentration of civic traffic between 09:00 - 18:00 KST

Inference Throughput & Feasibility Engine 512 × B200 (8 TB/s HBM3e)

Active Citizens 2,585,000 5% of 51.7M population
Cluster Throughput 128,000 Tokens / Sec (Aggregate)
Cluster Utilization 31.55% Daily demand / Capacity
Peak Queue Wait 0.42 s M/M/c queuing latency
Daily Token Ceiling 213.9 Tokens / Citizen / Day (all 51.7M)
Viable for Targeted Civic IT (Appointments, Taxes, Housing)
With 5% citizen adoption (2.585M users) performing government self-service queries, the 512 B200 cluster easily absorbs traffic at 31.55% utilization with sub-second peak response delays.
LIVE CONCURRENT TOKEN STREAMING & QUEUE BUFFER (M/M/c) 128,000 tok/s cap
Token Generation Stream Queue Backlog (Waiting Requests) Completed Batches 60 FPS

Hardware & Mathematical Accounting

Parameter Cluster Value Reddit Discussion Context & Physical Constraints
Daily Cluster Token Capacity 11,059,200,000 86,400s × 128,000 TPS across 512 B200 HBM3e channels
Daily Citizen Demand 3,489,750,000 2,585,000 active citizens × 3 queries × 450 tokens
Memory Wall Saturation 62.8% Bandwidth 8 TB/s HBM3e bandwidth per GPU; decode bounded by weight transfer
Equivalent Megawatts / Datacenter Racks ~0.61 MW • 8 Racks 512 B200s (NVL72 / NVL8 topologies); vs. 50,000 racks for unconstrained 1M tok/day
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