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Compute · infrastructure

Compute & infrastructure

Inference clusters, customer environments, and resource utilization across regions.

GPUs allocated

22
14 A100 · 8 H100

Avg utilization

76%
+4pp WoWtarget 70-85%

VRAM in use

1.4 TBof 1.8
78% capacity

Network I/O

42 Gbps
peak 96 Gbps

Reserved capacity

12 GPUs
1-yr commit

Abstract cluster view across deployment regions — physical providers omitted

Inference Cluster Alphaus-east-1

Detroit HQ · 8× A100 · 80GB VRAM/GPU

Healthy
GPU78%
Memory64%
Hosting: Philotic-1 v2.4.1 · Cali-OEM v3 · Cali-Insurance v2.1
Inference Cluster Betame-dubai-1

Dubai DSO · 4× H100 · 80GB VRAM/GPU

Healthy
GPU52%
Memory48%
Hosting: Philotic-1 v2.4.1 · Llama 3.3 70B
Embedding Clusterus-east-1

Detroit HQ · 2× A100 · 40GB VRAM/GPU

Healthy
GPU85%
Memory72%
Hosting: Embed-Sovereign v1.4
Training Clusterme-dubai-1

Dubai DSO · 8× H100 · 80GB VRAM/GPU

Degraded
GPU92%
Memory88%
Hosting: Banking-Arabic v1.0-rc · training

GPU compute and memory pressure across all clusters

0%20%40%60%80%utilizationApr 5Apr 12Apr 19Apr 26GPU computeGPU memory

Multi-cloud presence — Philotic substrate sits on top of customer infrastructure

Azure East US

Azure · eastus

Caliber Collision

Workloads

  • Cali-OEM
  • Cali-Insurance
  • Knowledge ingest

AWS us-east-2

AWS · us-east-2

Engage Enterprise

Workloads

  • Phil orchestrator
  • Doc Processor

Private Cloud

Private · me-dubai-1

Dubai DSO sovereign

Workloads

  • Phil orchestrator
  • Banking-Arabic training
Inference Cluster Alpha
Sustained util > 85% for 5m
Burst +2 A100 from reserved pool
active
Inference Cluster Beta
p99 latency > 3000ms for 3m
Burst +2 H100, route 30% to Alpha
active
Embedding Cluster
Queue depth > 5000
Spawn embed worker · max 2
active
Training Cluster
Manual
Reserved · Banking-Arabic until 2026-05-12
paused

Burst capacity

+8 GPUs · 2 regions

Reserved utilization

82%

Spot utilization

34%

Forecast headroom

34 days at current growth

Storage capacity

46 TB · 38% used

Vector index size

4.4 GB · sharded ×4