Jacob Tomlinson

Jacob Tomlinson is a senior Python software engineer at NVIDIA with a focus on deployment tooling for distributed systems. His work involves maintaining open source projects including RAPIDS and Dask. RAPIDS is a suite of GPU accelerated open source Python tools which mimic APIs from the PyData stack including those of Numpy, Pandas and SciKit-Learn. Dask provides advanced parallelism for analytics with out-of-core computation, lazy evaluation and distributed execution of the PyData stack.
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Posts by Jacob Tomlinson

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Data Science Jul 03, 2024

Maximize GPU performance with Near-Real-Time Usage Stats on NVDashboard v0.10

At NVIDIA GTC 2024, the RAPIDS team demonstrated new features on NVDashboard v0.10 a dashboard that runs on JupyterLab, for monitoring GPU usage to help... 6 MIN READ
Data Science Aug 30, 2022

Accelerating ETL on KubeFlow with RAPIDS

In the machine learning and MLOps world, GPUs are widely used to speed up model training and inference, but what about the other stages of the workflow like ETL... 13 MIN READ
Data Science May 10, 2022

Testing Container Images Against Multiple Platforms with Container Canary

Bring-your-own-container models are widely supported on today’s modern compute platforms. In other words, you can provide your own container images within... 10 MIN READ
Data Science Sep 24, 2021

GPU Dashboards in Jupyter Lab

This post was originally published on the RAPIDS AI blog here. Introduction NVDashboard is an open-source package for the real-time visualization of NVIDIA GPU... 8 MIN READ