Month: April 2024

At GTC 2024, experts from NVIDIA and our partners shared insights about GPU-accelerated tools, optimizations, and best practices for data scientists. From the…

At GTC 2024, experts from NVIDIA and our partners shared insights about GPU-accelerated tools, optimizations, and best practices for data scientists. From the hundreds of sessions covering various topics, we’ve handpicked the top three data science sessions that you won’t want to miss. RAPIDS in 2024: Accelerated Data Science Everywhere Speakers: Dante Gama Dessavre…

Source

Professional workflows have become more complex with the increased demand for graphics-intensive scenarios.  From regular office applications to demanding…

Professional workflows have become more complex with the increased demand for graphics-intensive scenarios. From regular office applications to demanding manufacturing, architectural, engineering, and media and entertainment applications, GPU-enabled Cloud PCs are enabling professionals to access those applications from anywhere and on any device from the cloud. Windows 365 Cloud PCs are now…

Source

Talk about commitment. When startup SEA.AI, an NVIDIA Metropolis partner, set out to create a system that would use AI to scan the seas to enhance maritime safety, entrepreneur Raphael Biancale wasn’t afraid to take the plunge. He donned a lifejacket and jumped into the ocean. It’s a move that demonstrates Biancale’s commitment and pioneering
Read Article

Due to the adoption of multicamera inputs and deep convolutional backbone networks, the GPU memory footprint for training autonomous driving perception models…

Due to the adoption of multicamera inputs and deep convolutional backbone networks, the GPU memory footprint for training autonomous driving perception models is large. Existing methods for reducing memory usage often result in additional computational overheads or imbalanced workloads. This post describes joint research between NVIDIA and NIO, a developer of smart electric vehicles.

Source

Large language models (LLMs) have revolutionized natural language processing (NLP) in recent years, enabling a wide range of applications such as text…

Large language models (LLMs) have revolutionized natural language processing (NLP) in recent years, enabling a wide range of applications such as text summarization, question answering, and natural language generation. Arctic, developed by Snowflake, is a new open LLM designed to achieve high inference performance while maintaining low cost on various NLP tasks. Arctic Arctic is…

Source

Text-to-image diffusion models have been established as a powerful method for high-fidelity image generation based on given text. Nevertheless, diffusion models…

Text-to-image diffusion models have been established as a powerful method for high-fidelity image generation based on given text. Nevertheless, diffusion models do not always grant the desired alignment between the given input text and the generated image, especially for complicated idiosyncratic prompts that are not encountered in real life. Hence, there is growing interest in efficiently fine…

Source

The latest trends and technologies in the automotive industry are in the spotlight at the Beijing International Automotive Exhibition, aka Auto China, which opens to the public on Saturday, April 27. An array of NVIDIA auto partners is embracing this year’s theme, “New Era, New Cars,” by making announcements and showcasing their latest offerings powered
Read Article

NVIDIA launched the initial release of the Confidential Computing (CC) solution in private preview for early access in July 2023 through NVIDIA LaunchPad….

NVIDIA launched the initial release of the Confidential Computing (CC) solution in private preview for early access in July 2023 through NVIDIA LaunchPad. Confidential Computing can be used in virtualized environments and provides the highest level of security with the best performance possible in the industry today. The NVIDIA H100 Tensor Core GPU was the first GPU to introduce support for CC.

Source

OpenUSD integration into Siemens technologies powers a new wave of industrial digitalization.