- Major tech companies integrate advanced AI features and develop custom chips to power new AI capabilities.
- Qualcomm and Broadcom are exploring custom chip solutions and alternatives to expensive dominant providers like Nvidia to meet the demands of AI infrastructure.
FuriosaAI and Broadcom partnered to build a rack-scale inference platform to reduce reliance on proprietary software.
1 report, 1 independent
Updated May 27
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What happened
FuriosaAI and Broadcom partnered to build a rack-scale inference platform to reduce reliance on proprietary software.
Who's involved
What this event is mainly aboutKeep exploring
Part of
Qualcomm and Broadcom are exploring custom chip solutions and alternatives to expensive dominant providers like Nvidia to meet the demands of AI infrastructure.Also in this story
- Qualcomm plans to acquire AI startup Modular, which supports AMD chips, as part of its strategy to challenge Nvidia's AI dominance.
- Xiaomi and Qualcomm are vying for market share in the mobile processor segment, accelerating chip design capabilities under the pressure of export controls and technology gaps.
- Nvidia is outpacing rivals in western data-center growth, while investor sentiment reflects concerns over potential market write-downs.
The entities involved
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Broadcom
American semiconductor manufacturer
Related events
- Broadcom is gaining market share by targeting custom infrastructure solutions for major AI giants like OpenAI and Google.
- Broadcom's acquisition of VMware creates strategic risk, and NetApp validated its ONTAP platform for VCF 9.1 compatibility.
- Market growth is driving intense platform competition and adoption of workload management in cloud infrastructure.
- Meta, Broadcom, and Microsoft are developing custom accelerators to handle inference workloads and compete in the cloud services market.