William Hill

William Hill is the product marketing manager at NVIDIA for generative AI inference products. Prior to NVIDIA, William was an ML engineer, data scientist, and full-stack developer at various startups and large enterprises. William started his career as a computer programmer in the Air Force. In the commercial sector, he developed neural networks and AI applications for various financial and scientific applications. William has a bachelor’s degree in Computer Science, a master’s degree in Computer Information Systems, and is currently pursuing his MBA at Duke University.
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Posts by William Hill

Data Science Aug 22, 2025

How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows

Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make... 7 MIN READ
Data Science Aug 01, 2025

7 Drop-In Replacements to Instantly Speed Up Your Python Data Science Workflows

You've been there. You wrote the perfect Python script, tested it on a sample CSV, and everything worked flawlessly. But when you unleashed it on the full 10... 8 MIN READ
Data Science Jul 18, 2025

3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs

If you work with pandas, you’ve probably hit the wall. It’s that moment when your trusty workflow, so elegant on smaller datasets, grinds to a halt on a... 4 MIN READ
Data Science Dec 20, 2024

NVIDIA Hackathon Winners Share Strategies for RAPIDS-Accelerated ML Workflows

Approximately 220 teams gathered at the Open Data Science Conference (ODSC) West this year to compete in the NVIDIA hackathon, a 24-hour machine learning (ML)... 8 MIN READ
Generative AI Sep 19, 2024

Just Released: Torch-TensorRT v2.4.0

Includes C++ runtime support in Windows Support, Enhanced Dynamic Shape support in Converters, PyTorch 2.4, CUDA 12.4, TensorRT 10.1, Python 3.12. 1 MIN READ
Generative AI Jul 02, 2024

Achieving High Mixtral 8x7B Performance with NVIDIA H100 Tensor Core GPUs and NVIDIA TensorRT-LLM

As large language models (LLMs) continue to grow in size and complexity, the performance requirements for serving them quickly and cost-effectively continue to... 9 MIN READ