Davide Onofrio

Davide Onofrio is a Senior Deep Learning Software Technical Marketing Engineer at NVIDIA. He is focused on development and presentation of deep learning technical developer focused-content at NVIDIA. Davide has several years of experience working as a computer vision and machine learning engineer in Biometrics, VR and Automotive industry. His educational background includes a PhD in signal processing at the Politecnico di Milano.

Posts by Davide Onofrio

Technical Walkthrough 0

Accelerating AI Inference Workloads with NVIDIA A30 GPU

Researchers, engineers, and data scientists can use A30 to deliver real-world results and deploy solutions into production at scale. 5 MIN READ
Technical Walkthrough 0

Introducing NVIDIA Riva: A GPU-Accelerated SDK for Developing Speech AI Applications

Learn about the Riva SDK and its use in developing speech AI applications. We also discuss pretrained models in NGC, TAO Toolkit for transfer learning. 7 MIN READ
Technical Walkthrough 0

Deploying NVIDIA Triton at Scale with MIG and Kubernetes

NVIDIA Triton can manage any number and mix of models, support multiple deep-learning frameworks, and integrate easily with Kubernetes for large-scale deployment. 24 MIN READ
Technical Walkthrough 0

Real-Time Natural Language Processing with BERT Using NVIDIA TensorRT (Updated)

Today, NVIDIA is releasing TensorRT 8.0, which introduces many transformer optimizations. With this post update, we present the latest TensorRT optimized BERT sample and its inference latency benchmar... 18 MIN READ
Technical Walkthrough 0

Continuously Improving Recommender Systems for Competitive Advantage Using NVIDIA Merlin and MLOps

This posts shares how NVIDIA Merlin components fit into a complete MLOps pipeline to operationalize a recommendation system, and continuously deliver improvements in production. 12 MIN READ
Technical Walkthrough 1

MLPerf v1.0 Training Benchmarks: Insights into a Record-Setting NVIDIA Performance

Learn about some of the major optimizations made to the NVIDIA platform that contributed to the nearly 7x increase in performance since the first MLPerf training benchmark. 31 MIN READ