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Custom AI inference chip
16 stories about AWS Inferentia
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SageMaker for High-Performance ML Applications
Amazon's SageMaker is expanding its infrastructure to handle the kind of computationally intense machine learning work that has traditionally required custom engineering teams and specialized hardware partnerships. The move signals a crucial shift in the cloud AI wars: whoever can democratize access to high-performance training and inference may own the next generation of enterprise AI applications. For thousands of companies betting their competitive futures on custom AI models, this could mean the difference between staying competitive and falling behind rivals with deeper pockets.
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Amazon Web Services·
How Rufus doubled their inference speed and handled Prime Day traffic with AWS AI chips and parallel decoding
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Business Insider·
Startups find Amazon's AI chips 'less competitive' than Nvidia GPUs, internal document shows
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theregister.com·
Top AWS chip designer reportedly defects to Arm as it weighs push into silicon
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Amazon Web Services·
Streamline scalable AI governance with Domino in AWS Marketplace | Amazon Web Services
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Amazon Web Services·
Metagenomi generates millions of novel enzymes cost-effectively using AWS Inferentia | Amazon Web Services
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