Amazon's AWS posts fastest growth since 2021, citing AI and chip demand
- ID
- 9381
- Status
- summarized
- Published
- 31 Jul 2026, 4:29 AM
- Fetched
- 31 Jul 2026, 10:38 AM
- Provider
- CNBC Technology
- Category
- technology
- Original URL
- https://www.cnbc.com/2026/07/30/aws-earnings-q2-2026.html
- Source URL
- https://www.cnbc.com/id/19854910/device/rss/rss.html
Summary
- Score
- 7.0
- Created
- 31 Jul 2026, 4:28 PM
- Tags
- Audience
- developersai_ml_learnerssaas_founders
What happened
AWS grew nearly 37% in Q2 2026 to $42.23B, beating analyst estimates of $40.54B and marking its fastest expansion since 2021. AWS's AI business and its custom chips each surpassed $25B in annualized revenue, more than doubling year-over-year, while Azure grew 43% and Google Cloud surged 82% to nearly $25B for the quarter.
Why it matters
If you're deciding cloud provider for AI workloads, AWS's custom chip revenue doubling signals real production traction for Trainium/Inferentia as cost-competitive alternatives to NVIDIA; compare pricing and availability for your inference workloads across AWS, Azure, and GCP before committing, since all three are aggressively scaling AI capacity.
Discussion angle
With AWS AI and chips each at $25B+ annualized and Google Cloud growing 82%, which provider's AI pricing and chip availability actually matters for Malaysian builders running inference workloads, and is it worth multi-cloud strategy or just picking the cheapest per-token option?