… The webinar highlighted the latest updates in the NVIDIA RTX Branch of Unreal Engine 5.7.2, including new features such as path-traced hair, along with opportunities for optimization and image quality improvements when using RTX technologies. …
… To train Falcon Edge at scale, TII contributed BitNet pretraining support for GPT-like architectures to Megatron Core. This integration is a key step toward enabling scalable pretraining workflows with 1-bit LLMs, while preserving Megatron parallelism and performance characteristics. …
… NVIDIA Holoscan for Media, Available Now, Transforms Live Media With Easy AI Integration The software-defined platform helps global developers in broadcast and streaming deliver AI-enabled media solutions. …
Agentic AI / Generative AI How NVIDIA Dynamo 1.0 Powers Multi-Node Inference at Production Scale Mar 16, 2026 By Amr Elmeleegy Discuss 1 Discuss 1 L T F R E AI-Generated Summary Like Dislike NVIDIA Dynamo 1.0 delivers a mature, production-grade distributed inference framework for large-scale, multi… …
… CI/CD integration and DevOps enablement Through its Python SDK and REST APIs, DSX Air supports integration with modern DevOps toolchains. This enables simulations to be instantiated programmatically within CI/CD pipelines for continuous verification of software and configuration updates. …
… With PodDisruptionBudgets protecting running jobs, we now roll out Slurm version updates and OS patches while training jobs continue uninterrupted on the remaining capacity. Maintenance coordination: Standard Kubernetes node drain syncs to Slurm. …
Simulation / Modeling / Design Integrate Physical AI Capabilities into Existing Apps with NVIDIA Omniverse Libraries Apr 08, 2026 By Ashley Goldstein , Brian Harrison and Stephanie Rubenstein Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike NVIDIA announced a modular, library-based a… …
… With over 15 years covering AI, ML, full-stack accelerated computing, he designs AI solutions for real-world application, and leads partner agentic AI integration efforts. …
… However, many emerging optimizers, including Muon, require gradients of the entire layer to calculate updates to the weights of that layer. If weights and optimizer states are evenly distributed among data parallel DP ranks, updates can’t be calculated based on the data available on each GPU. …
… By leveraging AST-aware chunking, MCP integrations, and fine-tuned models for large codebases, the guide aims to boost developer velocity while ensuring compatibility with complex studio pipelines. To learn more, see Reliable AI Coding for Unreal Engine: Improving Accuracy and Reducing Token Costs . …