Jay Rodge

Jay Rodge is a product marketing manager for deep learning and inference products at NVIDIA driving launches and product marketing initiatives. Jay received his master’s degree in computer science from Illinois Tech, Chicago with a focus on computer vision and NLP. Before NVIDIA, Jay was an AI research intern at BMW Group solving problems using computer vision for BMW’s largest manufacturing plant.
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Posts by Jay Rodge

Technical Walkthrough 4

Optimizing and Serving Models with NVIDIA TensorRT and NVIDIA Triton

Imagine that you have trained your model with PyTorch, TensorFlow, or the framework of your choice, are satisfied with its accuracy, and are considering... 11 MIN READ
Diagram of Torch-TensorRT and TensorFlow-TensorRT.
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NVIDIA Announces TensorRT 8.2 and Integrations with PyTorch and TensorFlow

Today NVIDIA released TensorRT 8.2, with optimizations for billion parameter NLU models. These include T5 and GPT-2, used for translation and text generation,... 2 MIN READ
Technical Walkthrough 0

Optimizing T5 and GPT-2 for Real-Time Inference with NVIDIA TensorRT

The transformer architecture has wholly transformed (pun intended) the domain of natural language processing (NLP). Over the recent years, many novel network... 9 MIN READ
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ICYMI: New AI Tools and Technologies Announced at NVIDIA GTC Keynote

At NVIDIA GTC this November, new software tools were announced that help developers build real-time speech applications, optimize inference for a variety of... 5 MIN READ
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NVIDIA GTC: Can’t-Miss Sessions in AI and Deep Learning this November

Join NVIDIA November 8-11, showcasing over 500 GTC sessions covering the latest breakthroughs in AI and deep learning, as well as many other GPU technology... 4 MIN READ
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NVIDIA Announces TensorRT 8 Slashing BERT-Large Inference Down to 1 Millisecond

Today, NVIDIA announced TensorRT 8.0 which brings BERT-Large inference latency down to 1.2 ms with new optimizations. This version also delivers 2x the accuracy... 3 MIN READ