TECHNOLOGY

AWS adopts NVIDIA NVLink Fusion, launches AI Factories

PUBLISHED Dec 2, 2025, 11:44 AM ET

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Sources: 10

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Sources: 10

Las Vegas — Amazon Web Services announced on Tuesday at its re:Invent conference that it will integrate NVIDIA’s NVLink Fusion into a future Trainium4 AI chip and launch coordinated AI Factories with NVIDIA to offer customers high-performance accelerators, networking, storage, and managed services. AWS outlined industry-focused cloud expansion in the Philippines and highlighted partner recognitions, including Quantiphi’s Global GenAI Consulting Partner of the Year and 1Password’s Canada Rising Star award. AWS said these moves aim to reduce infrastructure barriers for public and private sector AI deployments and scale model training across thousands of machines. Based on 6 articles reviewed and research.

By Sarah Whitman | JQJO News

Timeline of Events

NVIDIA promoted NVLink adoption to other chipmakers prior to the announcements.
Dec. 2: AWS announced adoption of NVLink Fusion for a future Trainium4 chip at re:Invent.
Dec. 2: AWS and NVIDIA unveiled AWS AI Factories to provide integrated accelerators and managed services.
AWS described industry-focused expansion in the Philippines to address sector-specific cloud needs.
Dec. 2: Quantiphi and 1Password received AWS partner awards recognizing GenAI and regional growth.

Media Bias

Articles Published:: 10
Right Leaning:: 0
Left Leaning:: 0
Neutral:: 10

Who Benefited

Cloud infrastructure providers, NVIDIA, and AWS partner companies benefit from increased demand for integrated AI accelerators, managed services, and commercial opportunities to serve public and private sector AI deployments.

Who Impacted

Organizations attempting to build in-house AI infrastructure may face higher competitive pressure and greater reliance on AWS and NVIDIA ecosystems for large-scale model training.

Media Bias

Articles Published:: 10
Right Leaning:: 0
Left Leaning:: 0
Neutral:: 10
Distribution:: Left 0%, Center 100%, Right 0%

Who Benefited

Who Impacted

Organizations attempting to build in-house AI infrastructure may face higher competitive pressure and greater reliance on AWS and NVIDIA ecosystems for large-scale model training.