As large language models (LLMs) are becoming even bigger, it is increasingly important to provide easy-to-use and efficient deployment paths because the cost of…
As large language models (LLMs) are becoming even bigger, it is increasingly important to provide easy-to-use and efficient deployment paths because the cost of serving such LLMs is becoming higher. One way to reduce this cost is to apply post-training quantization (PTQ), which consists of techniques to reduce computational and memory requirements for serving trained models. In this post…
Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate…
In the realm of high-performance computing (HPC), NVIDIA has continually advanced HPC by offering its highly optimized NVIDIA High-Performance Conjugate…
As the world faces the urgent need to combat climate change, carbon capture and storage (CCS) has emerged as a crucial technology for achieving net-zero…
NVIDIA Holoscan for Media is now ready to be used in live production, taking advantage of the best of both networking and GPU technologies. Holoscan for…
An AI-powered remote sensing study offers a dynamic new tool for global ocean cleanup efforts. Detailed in the ISPRS Journal of Photogrammetry and Remote…