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Amazon moves Alexa to its own hardware platform, ditching NVIDIA chips
Amazon Internet Company.com announced on Thursday that it was transferring part of the computing operations that power the voice assistant Alexa to chips of its own design, thus abandoning the chips from NVIDIA. This is expected to make Alexa run faster while lowering Amazon’s costs.
REUTERS / Elijah Nouvelage
When users of devices such as smart speakers from the Amazon Echo family ask a question to the voice assistant, the request is sent to one of the Amazon data centers for processing and generating a response. This answer is in text format, and subsequently it must be translated into audible speech, which will be delivered by the voice assistant.
Previously, all these operations were carried out using NVIDIA chips, but now “most” of the process will be carried out using the Inferentia computing chip, created by Amazon itself. First announced in 20221, Amazon’s processor is specifically designed to accelerate large-scale machine learning tasks such as text-to-speech or image recognition.
Cloud computing service owners such as Amazon, Microsoft and Google have become some of the largest consumers of AI computing chips for their data centers, leading to a boom in sales of specialized solutions from Intel, NVIDIA and others. But big tech companies are increasingly ditching traditional semiconductor vendors to develop their own processors. Apple can also be put in the same row, which announced its first Mac computers with its own M1 processor with Arm architecture, abandoning Intel services.
Amazon Says Switching To Inferentia Chip To Perform Certain Alexa Query Processing Operations Has Reduced Latency By 25% With 30% Cost Savings.
The company also said its cloud-based facial recognition service Rekognition has also begun rolling out Inferentia chips. However, she did not specify which chips were previously used by the facial recognition service, and which part of the operations were transferred to her own chips.