…13 MIN READ Mar 10, 2026 Reliable AI Coding for Unreal Engine: Improving Accuracy and Reducing Token Costs Agentic code assistants are moving into daily game development as studios build larger worlds…
…This post provides a walkthrough of key UST features, implementation details, and performance overview, including: Zero-cost interoperability: Data-movement-free conversion with PyTorch, SciPy, and CuPy. Custom formats: Define novel sparsity…
…Shader Execution Reordering (SER) SER is a performance optimization that unlocks the potential for better ray and memory coherency in ray tracing shaders. Deep Learning Anti-Aliasing (DLAA) An AI-based anti…
…and memory bandwidth requirements of each stage. Advanced scheduling techniquesgang scheduling, hierarchical gang scheduling, and topology-aware placementare crucial for performant deployment on Kubernetes, with AI schedulers like KAI Scheduler and abstractions…
…Nguyen is a senior alliance manager at NVIDIA for HPC and AI. Previously a physicist/group leader for ultrafast X-ray materials and inertial fusion energy at SLAC National Accelerator Laboratory. Quynh…
…Get started with pruning and knowledge distillation Pruning and knowledge distillation are highly cost-effective methods to progressively shrink LLMs while matching or exceeding baseline accuracy across domains, and they’re typically…
…Rather than relying on command matching, these models support conversational AI with memory and reasoning, multimodal interaction across voice, vision, and telemetry, and context-aware, proactive assistance that anticipates user needs instead…
Agentic AI / Generative AI Run High-Throughput Reinforcement Learning Training with End-to-End FP8 Precision Apr 20, 2026 By Guyue Huang , Shuang Yu , Zhaopeng Qiu , Oleg Rybakov , Wenwen Gao and Sylendran…
…GPU clusters are expensive and failures are costly. In modern AI and high-performance computing, organizations operate large clusters of servers with NVIDIA GPUs that can cost tens of thousands of dollars…
…His past research and working experience is mainly in HPC and AI/ML and computer vision. At NVIDIA, he is a developer technology AI engineer focusing on accelerating ML/DL workloads on…