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Data Center News > Blog > AI > Migrating AI from Nvidia to Huawei: Opportunities and trade-offs
AI

Migrating AI from Nvidia to Huawei: Opportunities and trade-offs

Last updated: October 30, 2025 7:01 am
Published October 30, 2025
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Migrating AI from Nvidia to Huawei: Opportunities and trade-offs
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When considering the shift, a number of enterprise benefits might drive a closing resolution. Counting on one main vendor (specifically, Nvidia) can incur dangers: pricing leverage, export controls, provide shortages, or a single level of failure in innovation. Adopting or migrating to Huawei has the potential to supply negotiation leverage, keep away from vendor lock-in, and provide entry to alternate provide chains. That’s particularly related in areas the place Nvidia faces export restrictions.

If an organisation operates in a area the place Huawei’s ecosystem is stronger (e.g., China, components of Asia) or the place home incentives favour native {hardware}, shifting to Huawei may align with company technique. As an illustration, ByteDance has begun coaching a brand new mannequin primarily on Huawei’s Ascend 910B chips with notable success.

Huawei’s know-how focuses on inference and large-scale deployments, and thus could also be higher suited to long-term use, somewhat than occasional use of huge infrastructures for coaching, adopted by much less intensive inference. If an organisation’s workloads are inference-heavy, a Huawei stack might provide benefits in value and energy. Shifting Huawei’s inner clusters (e.g., CloudMatrix) have proven competitive results in select benchmarks.

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See also  Nvidia to buy AI orchestration software provider Run:ai
TAGGED: Huawei, Migrating, Nvidia, Opportunities, tradeoffs
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