AUTONOMOUS AI CLOUD • MULTI-AGENT COPILOT

Fly Your AI Infrastructure
on Autopilot.

Autonomous multi-cloud GPU cluster orchestration, multi-agent SRE fleet, intelligent token arbitrage, and sub-15ms semantic caching from a single unified developer API.

Deploy Cluster Free Launch Live Playground

99.99%

SLA Uptime Guarantee

11.8ms

p99 Edge Latency

68%

Token Cost Reduction

4 Clouds

AWS • GCP • Azure • CW

cloudpilot-telemetry / fleet-orchestrator-v3

Interactive Sandbox

Active GPU Fleet

48 Nodes (100% online)

Cache Hit Rate

74.2% (Sub-12ms)

Current Token Savings

$18,450 / month

LIVE CLUSTER TELEMETRY FEED STREAMING

18:04:12 aws-node-use1-88x [AWS us-east-1]

NVIDIA A100 (80GB) 11.2ms HEALTHY

18:04:09 aws-node-usw2-14c [AWS us-west-2]

NVIDIA H100 SXM5 13.4ms HEALTHY

18:04:03 aws-node-euw1-09k [AWS eu-west-1]

NVIDIA L40S 14.8ms OPTIMIZED

Pre-Configured & Compatible with Leading Cloud AI & Startup Accelerator Ecosystems

AWS Bedrock

AWS EC2 / EKS

NVIDIA TensorRT

Google Cloud Vertex

Azure OpenAI

Hugging Face

LIVE DEVELOPER SANDBOX

Test the Inference Speed & Semantic Cache

See how CloudPilot AI transparently intercepts, deduplicates, and routes AI requests in under 15ms.

Target AI Model

Semantic Cache Mode

Sub-15ms Edge Cache

Performance Guarantee

11.4ms Cache HIT (Sub-15ms)

Quick Test Samples:

68% Token Savings

# Optimized Autonomous GPU Auto-Scaler Hook
import cloudpilot

client = cloudpilot.Client(api_key="cp_live_sec_99a8x")

@client.telemetry.on_threshold(metric="gpu_memory_pct", threshold=88.5)
def handle_memory_spike(event):
cluster = client.clusters.get(event.cluster_id)
return cluster.rebalance(target_latency_ms=12, spot_fallback="aws:us-east-1a:g5.12xlarge")

*Semantic Vector Hit: Cache verified in 3.8ms. Token synthesis bypassed.*

FINANCIAL EFFICIENCY & TOKEN ARBITRAGE

Interactive Cloud Cost Calculator

Calculate your exact monthly savings on AWS GPU compute and LLM token bills with CloudPilot AI.

Monthly AI Token Volume 100M

10M tokens 500M tokens 1B+ tokens

Dedicated GPU Nodes (AWS / GCP / CW) 8 Nodes

1 Node 24 Nodes 48 Nodes

Semantic Cache Repetition Rate 65%

20% (Low) 65% (Avg SaaS) 90% (High)

Raw Unoptimized Cloud Cost

$14,650/mo

With CloudPilot AI Optimization

$4,688/mo

YOUR ESTIMATED SAVINGS

$9,962/mo (68%)

Lock In These Savings Free

ARCHITECTURE & CAPABILITIES

Built for Modern AI Startups & ML Engineering

Eliminate GPU idle time, reduce token waste, and prevent out-of-memory cascading outages.

Autonomous GPU Orchestrator

Automatically claims spot instances across AWS, GCP, and CoreWeave. Shifts loads dynamically before AWS sends spot interruption notices.

Zero-Downtime Failover

Multi-Agent SRE Fleet

Autonomous AI agents patrol your Kubernetes pods 24/7. Detect memory leaks, rebalance GPU VRAM, and resolve latency spikes in under 800ms.

Self-Healing Infrastructure

Sub-15ms Semantic Cache

High-dimensional vector embeddings cache query intents at edge POPs. Bypasses redundant LLM synthesis and slashes token costs by up to 68%.

Ultra-Low Latency

Intelligent Token Arbitrage

Smart router balances Claude 3.5, GPT-4o, and Llama 3.3 dynamically based on prompt complexity, real-time cloud pricing, and SLA tier.

Cost & Quality Optimization

DEVELOPER FIRST API

One Line Drop-In Replacement for Any LLM

No need to rewrite your backend codebase. CloudPilot AI provides OpenAI-compatible proxy endpoints, lightweight Python SDKs, and native Kubernetes operators.

Zero change to prompt syntax or streaming handlers
Built-in exponential backoff and multi-region failover
Full telemetry tracing compatible with OpenTelemetry & Datadog

View Full API & SDK Documentation

# pip install cloudpilot-sdk
from cloudpilot import CloudPilotClient

client = CloudPilotClient(
    api_key="cp_live_sec_99a8x",
    cache_policy="sub_15ms_aggressive",
    auto_failover=True
)

# Autonomous inference with sub-15ms semantic caching
response = client.chat.completions.create(
    model="claude-3-5-sonnet-20241022",
    messages=[{"role": "user", "content": "Optimize Kubernetes GPU manifests"}],
    temperature=0.2
)

print(f"Latency: {response.cloudpilot_metrics.latency_ms}ms")
print(f"Cache Status: {response.cloudpilot_metrics.cache_status}")
print(response.choices[0].message.content)

curl -X POST https://api.cloudpilotai.org/v1/chat/completions \
  -H "Authorization: Bearer cp_live_sec_99a8x" \
  -H "Content-Type: application/json" \
  -H "X-CloudPilot-Cache: enabled" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "messages": [
      {"role": "user", "content": "Analyze AWS cloud infrastructure telemetry"}
    ],
    "stream": false
  }'

// npm install @cloudpilot/sdk
import { CloudPilot } from '@cloudpilot/sdk';

const pilot = new CloudPilot({ apiKey: process.env.CLOUDPILOT_KEY });

const completion = await pilot.chat({
  model: 'gpt-4o',
  messages: [{ role: 'user', content: 'Cluster health audit' }],
  cache: true
});

console.log(`Latency: ${completion.latency}ms`);

STARTUP FOUNDERS & AWS ACCELERATOR

Applying for AWS Activate or Cloud Credits?

CloudPilot AI is 100% cloud credit friendly. Deploy on your existing AWS account and offset your GPU/EC2 usage directly with your AWS Activate credits while slashing your burn rate.

Request Credit Onboarding Guide View Startup Tier

FREQUENTLY ASKED QUESTIONS

Frequently Asked Questions

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