Preventing Health Data Leaks with Federated Learning Using NVIDIA FLARE
More than 40 million people had their health data leaked in 2021, and the trend is not optimistic. The key goal of federated learning and analytics is to...
Sensor simulation is a critical tool to address the gaps in real-world data for autonomous vehicle (AV) development. However, it is only effective if sensor...
GPU acceleration is enabling faster and more intelligent applications than ever before, and the CUDA Toolkit is key to harnessing acceleration on NVIDIA GPUs....
How to Train an Object Detection Model for Visual Inspection with Synthetic Data
AI is rapidly changing industrial visual inspection. In a factory setting, visual inspection is used for many issues, including detecting defects and missing or...
Accelerating Vector Search: Fine-Tuning GPU Index Algorithms
The first post in this series introduced vector search indexes, explained the role they play in enabling a widespread range of important applications, and...
Accelerating Vector Search: Using GPU-Powered Indexes with RAPIDS RAFT
In the AI landscape of 2023, vector search is one of the hottest topics due to its applications in large language models (LLM) and generative AI. Semantic...
Creating Immersive Events with OpenUSD and Digital Twins
Moment Factory is a global multimedia entertainment studio that combines specializations in video, lighting, architecture, sound, software, and interactivity to...
NVIDIA TensorRT-LLM Supercharges Large Language Model Inference on NVIDIA H100 GPUs
Large language models offer incredible new capabilities, expanding the frontier of what is possible with AI. But their large size and unique execution...
Supercharge Ransomware Detection with AI-Enhanced Cybersecurity Solutions
Ransomware attacks have become increasingly popular, more sophisticated, and harder to detect. For example, in 2022, a destructive ransomware attack took 233...
GPUs for ETL? Optimizing ETL Architecture for Apache Spark SQL Operations
Extract-transform-load (ETL) operations with GPUs using the NVIDIA RAPIDS Accelerator for Apache Spark running on large-scale data can produce both cost savings...
This post covers best practices when working with shaders on NVIDIA GPUs. To get a high and consistent frame rate in your applications, see all Advanced...
Speeding Up Text-To-Speech Diffusion Models by Distillation
Every year, as part of their coursework, students from the University of Warsaw, Poland get to work under the supervision of engineers from the NVIDIA Warsaw...
Solving Self-Intersection Artifacts in DirectX Raytracing
Ray and path tracing algorithms construct light paths by starting at the camera or the light sources and intersecting rays with the scene geometry. As objects...
