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Platform Teams Moving AI Agent Infra to AWS · 5 slides

For Platform engineers at Series B SaaS companies · tone: confident

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Your AI agents work in dev. Production is where they stall.

The gap between pilot and scale is infrastructure, not model capability.

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THE SCALING WALL

AI agents are easy to pilot—but production breaks them.

Lean platform teams hit the same wall: no orchestration layer, no observability, no governance. You're managing agents like they're stateless functions. They're not. AWS provides the depth you need—not breadth.

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INFRASTRUCTURE LAYER
$25B

Exclusive partnerships with Anthropic and OpenAI signal where the market is moving. Hyperscalers own the chips, networking, and availability that agents demand.

Critical Chips & networking
Non-negotiable Availability SLA
Native Observability built-in
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PLATFORM ECONOMICS

Depth wins. Breadth doesn't.

Hyperscaler (AWS)

Deep
  • · Optimizes for single problem: agent reliability
  • · Owns the full stack: chips to orchestration
  • · SLA-backed availability for production agents
  • · Exclusive partnerships with frontier labs

Generic Cloud

Broad
  • · Balances dozens of competing services
  • · You build the orchestration layer yourself
  • · Shared infrastructure, shared risk
  • · No agent-specific tooling or partnerships
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Stop building agent infra. Start deploying agents.

AWS has the depth your platform team needs to scale agents reliably.

Explore AWS Agent Stack