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Technical Walkthrough 5

Bootstrapping Object Detection Model Training with 3D Synthetic Data

Training AI models requires mountains of data. Acquiring large sets of training data can be difficult, time-consuming, and expensive. Also, the data collected... 12 MIN READ
Data center with overlay
Technical Walkthrough 3

Accelerating Data Center and HPC Performance Analysis with NVIDIA Nsight Systems

As the GPU launches threads, dispatches kernels, and loads from memory, the CPU feeds it data asynchronously, accesses network communications, manages system... 7 MIN READ
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Technical Walkthrough 0

What Are Foundation Models?

Foundation models are AI neural networks trained on massive unlabeled datasets to handle a wide variety of jobs from translating text to analyzing medical... < 1
Technical Walkthrough 30

AutoDMP Optimizes Macro Placement for Chip Design with AI and GPUs

Most modern digital chips integrate large numbers of macros in the form of memory blocks or analog blocks, like clock generators. These macros are often much... 12 MIN READ
News 6

Physics-Informed Machine Learning Platform NVIDIA Modulus Is Now Open Source

Physics-informed machine learning (physics-ML) is transforming high-performance computing (HPC) simulation workflows across disciplines, including computational... 5 MIN READ
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News 3

Power Your AI Inference with New NVIDIA Triton and NVIDIA TensorRT Features

NVIDIA AI inference software consists of NVIDIA Triton Inference Server, open-source inference serving software, and NVIDIA TensorRT, an SDK for... 5 MIN READ