~/talks

Shashank Prasanna

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How does Docker run machine learning on specialized AIDocker Community All-Hands #62022-09-01
Explains how Docker exposes GPUs and AI silicon by inserting a pre-start hook via a custom runtime that calls vendor libraries (example: libnvidia-container…
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AWS On Air ft. AWS IoT FleetWiseAWS re:Invent 20212021-11-29
AWS IoT FleetWise extracts and decodes vehicle data at scale by creating a virtual vehicle model (VSS-based), running a lightweight on-vehicle agent on the…
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AWS On Air ft. Amazon SageMaker Ground Truth PlusAWS re:Invent 20212021-11-29
Amazon launches SageMaker Ground Truth Plus, a turnkey data‑labeling service that claims to remove up to 80% of the manual work customers report by combining…
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AWS On Air ft. AWS Backup for VmwareAWS re:Invent 20212021-11-29
AWS Backup adds first‑party support for VMware workloads, letting on‑premises vCenter and VMware Cloud on AWS VMs join existing backup plans. It deploys an OVF…
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Accelerate deep learning in the cloud with custom ML environmentsAWS Machine Learning Summit 20212021-06-02
Shows how to go from an EC2 Jupyter notebook to reproducible containers by using Deep Learning AMIs as bases, writing a Dockerfile that copies a CIFAR training…
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How to choose the right instance type for ML inferenceAWS re:Invent 20202020-11-30
Benchmarks show concrete tradeoffs: a ResNet50 on a G4 T4 runs TensorFlow at ~115 images/sec and ~17 ms, and after Nvidia TensorRT compilation jumps to…
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