…SHaRC improvements, integration of DLSS-RR, and various bug fixes RTX Character Rendering: Expanded geometry library with refactored tessellation API RTX Path Tracing: Various performance optimizations lowering the memory footprint and increasing…
…Silent failures or performance regressions are introduced by mismatches between libraries, drivers, and hardware Each category requires specific tools and techniques. A mature ecosystem of solutions exists, and applying them systematically can…
Developer Tools & Techniques Advancing GPU Programming with the CUDA Tile IR Backend for OpenAI Triton Jan 30, 2026 By Jie Xin and Jonathan Bentz Discuss (0) Discuss (0) L T F R…
…Get Started With OpenUSD Access open-source tools and learning resources to start adopting OpenUSD in your 3D workflows. Start Learning Master the skills required to build efficient 3D workflows with OpenUSD…
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…
…Common constants and frame index are provided for each frame using slSetConstants and slSetFeatureConstants methods. i. Incorrect values here will lead to a mismatch between FG and Reflex integration, and will cause…
…Practical tips for agent evaluation include prioritizing task success over accuracy, making tool usage a key signal, scoring reasoning quality and efficiency, and integrating transparent, customizable evaluation mechanisms into the agent design…
Developer Tools & Techniques cuTile.jl Brings NVIDIA CUDA Tile-Based Programming to Julia Mar 03, 2026 By Tim Besard , Keno Fischer , Viral B. Shah , Andy Terrel and David Edelsohn Discuss (0) Discuss…
…The collector toolchain benchmarks every primitive across supported quantization modes, batch sizes, sequence lengths, and GPU counts, and logs results to a silicon-calibrated performance database. When collected data isn’t available…
…Four models are included, featuring Gemmas first MoE model, and support for over 140 languages; these models enable reasoning, code generation, agent tool use, and multimodal input, and can be deployed locally…