Alibaba Cloud plans to use fewer Western chips, to boost its already huge AI margins
- ID
- 16345
- Status
- summarized
- Published
- 21 Aug 2026, 12:38 PM
- Fetched
- 21 Aug 2026, 2:19 PM
- Provider
- The Register
- Category
- technology
- Original URL
- https://www.theregister.com/off-prem/2026/08/21/alibaba-cloud-plans-to-use-fewer-western-chips-to-boost-its-already-huge-ai-margins/5290815
- Source URL
- https://www.theregister.com/headlines.atom
Summary
- Score
- 5.5
- Created
- 21 Aug 2026, 2:19 PM
- Tags
- Audience
- developersai_ml_learnerssaas_founders
What happened
Alibaba Cloud reported that its AI servers pay back their cost in 3 years and generate free cash flow in years 4-5, with 2018/2020-era Nvidia V100 and A100 machines still running near full capacity. The company plans to shorten payback to 2.5 years by increasing the proportion of self-developed chips in its data centers, replacing commercially purchased chips. Over 650 external customers now use Alibaba's own chips, and Q1 capex hit $10B, up 75% year-over-year, partly driven by anticipated AI agent adoption.
Why it matters
Alibaba Cloud operates data centers in Malaysia and is a viable alternative to AWS/Azure for regional workloads. If their self-developed chips replace Nvidia-dependent infrastructure, Malaysian builders evaluating Alibaba Cloud should check which chip families underpin the specific AI services they consume, as performance and pricing may diverge from Nvidia-based offerings. The 650-customer figure for Alibaba's own chips versus AWS's 120,000+ Graviton users signals the custom-chip ecosystem is still early.
Discussion angle
If Alibaba Cloud's custom chips become the default for their AI services in Malaysia, what does that mean for portability of models trained on Nvidia stacks, and should founders lock into Alibaba's pricing now or wait for the ecosystem to mature?