| NVIDIA AI Summit in Washington, DC October 7–9 - More info ❯ | | | | This newsletter was curated based on your topic preferences. Click here to update. | | |
| Spotlight: SLB and NVIDIA Collaborate on Generative AI Solutions for Energy |  | | Global energy technology company SLB has announced the next milestone in its long-standing collaboration with NVIDIA to develop and scale generative AI... | | | | | |
| Quickly Voice Your Apps with NVIDIA NIM Microservices for Speech and Translation | | | NVIDIA NIM, part of NVIDIA AI Enterprise, provides containers to self-host GPU-accelerated inferencing microservices for pretrained and customized AI models... | | | | | |
| Event: Developer Day for Financial Services | | | Join this virtual developer day to learn how AI and Machine Learning can revolutionize fraud detection and financial crime prevention. | | | | | |
| Accelerating Oracle Database Generative AI Workloads with NVIDIA NIM and NVIDIA cuVS | | | The vast majority of the world's data remains untapped, and enterprises are looking to generate value from this data by creating the next wave of generative AI... | | | | | |
| Optimizing Data Center Performance with AI Agents and the OODA Loop Strategy | | | For any data center, operating large, complex GPU clusters is not for the faint of heart! There is a tremendous amount of complexity. Cooling, power,... | | | | | |
| Polars GPU Engine Powered by RAPIDS cuDF Now Available in Open Beta | | | Today, Polars released a new GPU engine powered by RAPIDS cuDF that accelerates Polars workflows up to 13x on NVIDIA GPUs, allowing data scientists to process... | | | | | |
| Memory Efficiency, Faster Initialization, and Cost Estimation with NVIDIA Collective Communications Library 2.22 | | | For the past few months, the NVIDIA Collective Communications Library (NCCL) developers have been working hard on a set of new library features and bug fixes.... | | | | | |
| Orchestrating Innovation at Scale with NVIDIA Maxine and Texel | | | The NVIDIA Maxine AI developer platform is a suite of NVIDIA NIM microservices, cloud-accelerated microservices, and SDKs that offer state-of-the-art features... | | | | | |
| Improved Data Loading with Threads | | | Data loading is a critical aspect of deep learning workflows, whether you're focused on training or inference. However, it often presents a paradox: the need... | | | | | |
| Enabling Customizable GPU-Accelerated Video Transcoding Pipelines | | | Today, over 80% of internet traffic is video. This content is generated by and consumed across various devices, including IoT gadgets, smartphones, computers,... | | | | | |
| Processing One Billion Rows of Data with RAPIDS cuDF pandas Accelerator Mode | | | The One Billion Row Challenge is a fun benchmark to showcase basic data processing operations. It was originally launched as a pure-Java competition, and has... | | | | | |
| AI Tool Helps Farmers Combat Crop Loss and Climate Change | | | Machine Learning algorithms are beginning to revolutionize modern agriculture. Enabling farmers to combat pests and diseases in real time, the technology is... | | | | | |
| Advanced Strategies for High-Performance GPU Programming with NVIDIA CUDA | | | Stephen Jones, a leading expert and distinguished NVIDIA CUDA architect, offers his guidance and insights with a deep dive into the complexities of mapping... | | | | | |
| Constant Time Launch for Straight-Line CUDA Graphs and Other Performance Enhancements | | | CUDA Graphs are a way to define and batch GPU operations as a graph rather than a sequence of stream launches. A CUDA Graph groups a set of CUDA kernels and... | | | | | |
| Streamlining Data Processing for Domain Adaptive Pretraining with NVIDIA NeMo Curator | | | Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate... | | | | | |
| Accelerating the HPCG Benchmark with NVIDIA Math Sparse Libraries | | | In the realm of high-performance computing (HPC), NVIDIA has continually advanced HPC by offering its highly optimized NVIDIA High-Performance Conjugate... | | | | | |
| Post-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer | | | 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... | | | | | |
| Spotlight: Shell Accelerates CO2 Storage Modeling 100,000x Using NVIDIA Modulus | | | 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... | | | | | |
| Transform Live Media Pipelines with NVIDIA Holoscan for Media | | | 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... | | | | | |
| High-Tech AI Framework Transforms Global Marine Pollution Tracking | | | 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... | | | | | |
| Enhancing Application Portability and Compatibility across New Platforms Using NVIDIA Magnum IO NVSHMEM 3.0 | | | NVSHMEM is a parallel programming interface that provides efficient and scalable communication for NVIDIA GPU clusters. Part of NVIDIA Magnum IO and based on... | | | | | | | | | |
No comments:
Post a Comment