NVIDIA GPUs are becoming increasingly powerful with each new generation. This increase generally comes in two forms. Each streaming multi-processor (SM), the... NVIDIA GPUs are becoming increasingly powerful with each new generation. This increase generally comes in two forms. Each streaming multi-processor (SM), the workhorse of the GPU, can execute instructions faster and faster, and the memory system can deliver data to the SMs at an ever-increasing pace. At the same time, the number of SMs also typically increases with each generation… Source ..read more

NVIDIA NeMo is an end-to-end platform for the development of multimodal generative AI models at scale anywhere—on any cloud and on-premises. The NeMo team... NVIDIA NeMo is an end-to-end platform for the development of multimodal generative AI models at scale anywhere—on any cloud and on-premises. The NeMo team just released Canary, a multilingual model that transcribes speech in English, Spanish, German, and French with punctuation and capitalization. Canary also provides bi-directional translation, between English and the three other supported… Source ..read more

NVIDIA NeMo, an end-to-end platform for developing multimodal generative AI models at scale anywhere—on any cloud and on-premises—recently released... NVIDIA NeMo, an end-to-end platform for developing multimodal generative AI models at scale anywhere—on any cloud and on-premises—recently released Parakeet-TDT. This new addition to the NeMo ASR Parakeet model family boasts better accuracy and 64% greater speed over the previously best model, Parakeet-RNNT-1.1B. This post explains Parakeet-TDT and how to use it to generate highly accurate… Source ..read more

NVIDIA NeMo, an end-to-end platform for the development of multimodal generative AI models at scale anywhere—on any cloud and on-premises—released the... NVIDIA NeMo, an end-to-end platform for the development of multimodal generative AI models at scale anywhere—on any cloud and on-premises—released the Parakeet family of automatic speech recognition (ASR) models. These state-of-the-art ASR models, developed in collaboration with Suno.ai, transcribe spoken English with exceptional accuracy. This post details Parakeet ASR models that are… Source ..read more

This post delves into the capabilities of decoding DICOM medical images within AWS HealthImaging using the nvJPEG2000 library. We'll guide you through the... This post delves into the capabilities of decoding DICOM medical images within AWS HealthImaging using the nvJPEG2000 library. We’ll guide you through the intricacies of image decoding, introduce you to AWS HealthImaging, and explore the advancements enabled by GPU-accelerated decoding solutions. Embarking on a journey to enhance throughput and reduce costs in deciphering medical images… Source ..read more

A convolutional neural network is a type of deep learning network used primarily to identify and classify images and to recognize objects within images. A convolutional neural network is a type of deep learning network used primarily to identify and classify images and to recognize objects within images. Source ..read more

In the context of global warming, NVIDIA Earth-2 has emerged as a pivotal platform for climate tech, generating actionable insights in the face of increasingly... In the context of global warming, NVIDIA Earth-2 has emerged as a pivotal platform for climate tech, generating actionable insights in the face of increasingly disastrous extreme weather impacts amplified by climate change. With Earth-2, accessible insights into weather and climate are no longer confined to experts in atmospheric physics or oceanic dynamics. You can now harness advanced… Source ..read more

NVIDIA Holoscan for Media is now available to all developers looking to build next-generation live media applications on fully repurposable clusters. ... NVIDIA Holoscan for Media is now available to all developers looking to build next-generation live media applications on fully repurposable clusters. Holoscan for Media is a software-defined platform for building and deploying applications for live media. It revolutionizes application development by providing an IP-based, cloud-native architecture that isn’t constrained by dedicated hardware… Source ..read more

Retrieval-augmented generation enhances large language model prompts with relevant data for more practical, accurate responses. Retrieval-augmented generation enhances large language model prompts with relevant data for more practical, accurate responses. Source ..read more

Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges... Large-scale graph neural network (GNN) training presents formidable challenges, particularly concerning the scale and complexity of graph data. These challenges extend beyond the typical concerns of neural network forward and backward computations, encompassing issues such as bandwidth-intensive graph feature gathering and sampling, and the limitations of single GPU capacities. Source ..read more