0:00-39:54
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Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.
This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS.
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Featuring:
Show Notes:
News:
- NVIDIA’s open sourcing of TensorRT
- Amazon launches a machine learning chip
- The recently announced ONNX JS project
- Snapdragon Neural Processing Engine SDK
Learning resources:
Upcoming Events:
- Register for upcoming webinars here!
DigitalOcean
do.coFastly
fastly.comRollbar
rollbar.comLinode
linode.comWebsite
chrisbenson.comGitHub
github.comLinkedIn
linkedin.comX
x.comWebsite
datadan.ioGitHub
github.comX
x.comNVIDIA’s open sourcing of TensorRT
news.developer.nvidia.coma machine learning chip
cnbc.comONNX JS project
github.comSnapdragon Neural Processing Engine SDK
developer.qualcomm.comRise of the model servers
medium.comTensorRT server tutorial
devblogs.nvidia.comTensorFlow JS tutorials
js.tensorflow.orgupcoming webinars here
practicalai.fm