What happened?
In recent years, artificial intelligence chip designs have grown in importance at the annual Hot Chips conference. However, this year AI and data center chips dominated, with many vendors unveiling next-generation AI and neural network accelerators not just for data center applications, but specifically designed for large-scale cloud data center deployments.
NVIDIA tipped research into multi-chip packaging by describing a prototype data center inferencing accelerator. Intel revealed its much anticipated Nervana neural network architecture for data center training and inferencing.
What does this mean?/Why should we care?
The public cloud IaaS market today is powered mostly by very large monolithic chip designs – Intel’s Xeon processors and NVIDIA’s V100 GPUs.
Insights/comments on the subject from Liftr:
Our Liftr Cloud Components Tracker reports that Intel Xeon processors account for 89% of unaccelerated instance types deployed worldwide by the top four public clouds (AWS, Google Cloud, Microsoft Azure, and Alibaba Cloud).
However, NVIDIA now powers over 97% of total deployed instance types with dedicated accelerators at the four tracked clouds, worldwide.
The race toward multi-chip accelerator packaging hasn’t started in earnest yet. You’ll have a front-row seat with the Liftr Cloud Components Tracker.
Check out the Liftr Cloud Components Tracker: https://liftrinsights.com/cloud-compo…
For more cloud insights check out: https://liftrcloud.com/
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