AWS is using Qualcomm for AI inference while Qualcomm uses AWS Bedrock to design the chips
Qualcomm will design custom AI inference chips for AWS while using Bedrock for chip design, its third major data center win since June.
Qualcomm is designing custom AI inference chips for AWS across multiple product generations and co-developing optical interconnects with up to 1.6 Tbps bandwidth. In return, Qualcomm uses Amazon Bedrock to accelerate its chip design process. The deal is Qualcomm's third major data center win since June, after Meta adopted the Dragonfly C1000 server processor and Microsoft began deploying Qualcomm's HBC memory architecture in Azure; Qualcomm targets $15 billion in data center revenue by 2029.
- Qualcomm designs custom inference chips across multiple AWS generations, plus 1.6 Tbps optical interconnects
- Follows wins with Meta (Dragonfly C1000) and Microsoft (HBC memory architecture in Azure)
- Qualcomm targets $15 billion data center revenue by 2029; uses Bedrock to speed chip design
From the original article
1 min read at the-decoder.com
Qualcomm is designing custom chips for AWS across multiple product generations, with a focus on AI inference. The article AWS is using Qualcomm for AI inference while Qualcomm uses AWS Bedrock to design the chips appeared first on The Decoder.
By Jonathan Kemper · the-decoder.com
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