Cloud Brief — Week May 9

The AWS Interconnect free tier is not a promotional feature — it is a market structure shift. For the 87% of enterprise already running across 4.8 cloud providers on average, private inter-cloud networking is now a commodity. Differentiation lives in proprietary silicon, AI-native integration, and governance.

Central Idea

Multicloud private networking is no longer a premium service — it is the new infrastructure baseline. Competitive advantage has migrated one layer up.

Winners vs. Losers

🟢 Winners

AWS — Established the de facto multicloud connectivity standard (Apache 2.0 spec) while securing $100B in Trainium silicon for Anthropic; controls infrastructure protocol AND frontier model dependency
Google Cloud — +63% YoY and first Interconnect partner; its customers reach the leading hyperscaler via private connection without leaving Google's AI stack
Enterprises on strategic multi-cloud — The free tier removes economic friction to connect workloads across AWS and Google Cloud at zero variable cost

🔴 Losers

Third-party multicloud networking vendors — Aviatrix, Megaport, SD-WAN providers face the problem they solved being a free hyperscaler feature
On-premise without cloud adjacency — With 94% of enterprise in cloud and Trainium/TPU investment widening the cost gap, pure on-prem loses optionality
AI providers on a single hyperscaler — Interconnect GA makes multi-cloud easier and cheaper; single-cloud dependency now has a visible risk premium

5 Concrete Decisions

Activate AWS Interconnect with Google Cloud this month (🟢 High conviction) — Free tier is live, 500Mbps per region, no egress fees. No economic justification for using public internet for inter-cloud traffic.
Benchmark Trainium2 against H100 for your next AI scaling cycle (🟢 High conviction) — The silicon cost advantage can reach 30–50% vs. standard H100 for AI-intensive workloads on Bedrock.
Design your inter-cloud architecture with Azure Interconnect already planned (🟡 Medium conviction) — Azure is confirmed on the roadmap; leave the extension point without requiring a full redesign.
Implement multi-cloud FinOps from day one on new workloads (🟡 Medium conviction) — With 4.8 providers on average, cost visibility is the first optimization lever; FinOps tools now integrate Interconnect metrics natively.
Establish a centralized multi-cloud IAM before the next provider expansion (🟡 Medium conviction) — Fragmented IAM across 4+ providers is the largest security risk in multi-cloud.

3 Weak Signals

🟢 Apache 2.0 spec attracting regional cloud providers — If OVH, Hetzner, or Linode implement the protocol, private multicloud extends beyond the three hyperscalers; watch in 60–90 days
🟡 SpaceX Colossus One as a third AI infrastructure pillar — Anthropic's +300MW outside hyperscaler infrastructure suggests a distinct "native AI cloud" market could emerge
🟡 Multi-cloud FinOps as a differentiated infrastructure category — Tools integrating Interconnect cost attribution from day one could become critical operational infrastructure for the 87% in multi-cloud

Read the Full Report

→ Cloud Strategic Report — full analysis with market signals, silicon race, and architecture impact