Kris Kersten

Kris Kersten is a Technical Marketing Engineer at NVIDIA focused on AI, working to scale ML and DL solutions to solve today's most pressing problems in Healthcare. Prior to NVIDIA, Kris worked at Cray Supercomputers studying hardware and software performance characteristics from low-level cache benchmarking to large-scale parallel simulation.
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Posts by Kris Kersten

Data Science

Federated Learning from Simulation to Production with NVIDIA FLARE

NVIDIA FLARE 2.2 includes a host of new features that reduce development time and accelerate deployment for federated learning, helping organizations cut costs... 10 MIN READ
Computer Vision / Video Analytics

Experimenting with Novel Distributed Applications Using NVIDIA Flare 2.1

NVIDIA FLARE (NVIDIA Federated Learning Application Runtime Environment) is an open-source Python SDK for collaborative computation. FLARE is designed with a... 14 MIN READ
Data Center / Cloud

Validating AI Models Collaboratively with NVIDIA Clara Imaging and MD.ai

Medical imaging AI models built with NVIDIA Clara can now run natively on MD.ai in the cloud, which enables collaborative model validation and rapid annotation... 10 MIN READ
Data Science

Jumpstarting AI with a COVID-19 CT Inference Pipeline and the NVIDIA Clara Deploy QuickStart Virtual Machine

Getting AI up and running in hospitals has never been more important. Until recently, connecting an inference pipeline to perform analysis has had its... 11 MIN READ
Simulation / Modeling / Design

Speeding Up Development of Speech and Language Models with NVIDIA NeMo

[stextbox id="info"]This is an updated version of Neural Modules for Fast Development of Speech and Language Models. This post upgrades the NeMo diagram with... 7 MIN READ
Conversational AI / NLP

Neural Modules for Fast Development of Speech and Language Models

[stextbox id="info"]This post has been updated with Announcing NVIDIA NeMo: Fast Development of Speech and Language Models. The new version has information... 6 MIN READ