NVIDIA RTX Kit
…is a new generative AI algorithm that allows developers to cross the uncanny valley in real time. This AI model is trained on a character dataset built from the original photographs of…
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Can low-precision training match BF16 accuracy at scale?
To validate the practical impact of low-precision training for real-world large-model pretraining, the team evaluated both the training convergence and downstream task performance across two widely used dense transformer architectures: Llama 3 8B and an NVIDIA internal research 8B model (Research-8B with dense grouped query attention (GQA) architecture that is similar to Llama 3 8B). The models were trained on 1 trillion tokens.
Using NVFP4 Low-Precision Model Training for Higher Throughput Without Losing Accuracy | NVIDIA Technical BlogSpeed Up Unreal Engine NNE Inference with NVIDIA TensorRT for RTX Runtime | NVIDIA Technical Blog
…For this project, we’ll utilize the NNERuntimeTRT RDG method. All that’s required is to train or download an appropriate style model. We’ll use a pre-trained one from the…
What’s New for Game Developers in NVIDIA RTX: DLSS 4.5 for UE5 and Multilingual AI Characters | NVIDIA Technical Blog
…He is dedicated to empowering the next generation of game developers through neural rendering and AI graphics technology. Phillip earned his master's in business administration from the Santa Clara University Leavey…
Get Real-Time Visibility into GPU Usage Across Kubernetes Clusters | NVIDIA Technical Blog
…He manages a global team who are responsible for installations, implementations, and training sessions of cloud-native AI solutions. View all posts by Guy Saltoun View all posts by Guy Saltoun Comments
MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI Applications | NVIDIA Technical Blog
…Developers can get started today with this one-click launchable to provision an environment with OpenClaw and OpenShell on the NVIDIA Brev cloud AI GPU platform. Inference optimizations with open source frameworks…
Build Real-Time Multimodal XR Apps with NVIDIA AI Blueprint for Video Search and Summarization | NVIDIA Technical Blog
…By integrating VLMs and conversational AI functionalities, developers can create immersive experiences for users, such as skilled labor training, design and prototyping, and education and learning. The AI Blueprint was modified to…
CUDA-X
…acceleration across AI and high-performance computing use cases—from generative AI and autonomous machines to climate modeling and financial forecasting. Whether you're deploying on resource-constrained IoT devices or the…
Develop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints | NVIDIA Technical Blog
Agentic AI / Generative AI Develop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints Feb 27, 2026 By Anu Srivastava Discuss (0) Discuss (0) L T F R E…
Real-Time Performance Monitoring and Faster Debugging with NCCL Inspector and Prometheus | NVIDIA Technical Blog
…Chandawala, and Ziyang Jia from the University of California, Riverside, for valuable input and reviews during the design process. Discuss (0) Discuss (0) Tags Data Science | Developer Tools & Techniques | Networking / Communications | Healthcare…
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical Blog
…This includes protecting autonomous agents themselves—and defending the AI factory from increasingly privileged agents operating across inference, training, and emerging agentic AI workflows. The NVIDIA DOCA security stack provides a unified…