Cluster Status:4/4 Fleets Healthy

Executive Cloud Overview

Fleet health, autonomous SRE activity, and token arbitrage analytics.

ACTIVE GPU PODS
195 Pods
• Across AWS, GCP & CW
EDGE P99 LATENCY
12.4ms
SLA Target: < 25ms
EST. MONTHLY SAVINGS
$42,850
↓ 68% token reduction
AUTONOMOUS AGENTS
4 Active
843 actions today

Connected Multi-Cloud Fleets

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AWS Enterprise Fleetus-east-1 (N. Virginia)
Hardware: NVIDIA H100 SXM5
Pods: 58
p99: 18.2ms
Load: 88.4%
healthy
GCP Multi-Slice Clusterus-central1 (Iowa)
Hardware: Google TPU v5p & H100
Pods: 29
p99: 14.5ms
Load: 91.2%
healthy
Azure Sovereign Hubwestus2 (Washington)
Hardware: NVIDIA A100 80GB
Pods: 36
p99: 22.4ms
Load: 74.5%
optimizing
CoreWeave Edge Podsord1 (Chicago)
Hardware: NVIDIA L40S Ultra
Pods: 72
p99: 11.8ms
Load: 85%
healthy

Autonomous SRE Status

Zero Drops
SRE Pilot99.8% health
Autonomous Cluster SRE & Auto-Failover
Last: Rerouted 1,240 req/s from high-p99 node to CoreWeave
Cost Governor100% health
Multi-Model Arbitrage & Semantic Caching
Last: Intercepted 68% repetitive prompt tokens at edge cache
Security Sentinel100% health
Real-time Guardrails & Zero Data Retention
Last: Sanitized PII tokens across 4 multi-cloud ingest pipelines
RAG Orchestrator99.4% health
Hybrid Index Router & Neural Reranker
Last: Dynamically weighted dense/sparse vectors for legal corpus

Quick Integration

Get Key →

Route prompts through your CloudPilot workspace using the official Python SDK:

import cloudpilot client = cloudpilot.Client(api_key="cp_live_...") res = client.chat.completions.create( model="cloudpilot-auto-route", messages=[{"role": "user", "content": "Query"}] )
Base URL: api.cloudpilot.aiOpen Debugger →