NVIDIA In-Game Inferencing SDK
NVIDIA In-Game Inferencing SDK The NVIDIA In-Game Inferencing (NVIGI) SDK offers a streamlined and high performance path to integrate locally run AI models into games and applications via in-process…
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What is the AI-Q skill?
The AI-Q skill enables Claude Code, Codex, or other general-purpose agents to submit a research task to a running AI-Q server and receive a well-formatted, detailed report with citations. The skill includes a SKILL.md file that tells the harness how to use AI-Q, plus a helper script that manages request routing, job submission, polling, and result retrieval. A skill can mean different things in agent workflows. Agent skills guide the harness, the NVIDIA NeMo Agent Toolkit helps define reusable tool functions, and the AI-Q Agent Skill exposes the full research pipeline—including intent classifi
Add a Specialized Deep Research Skill to Agent Harnesses | NVIDIA Technical BlogModel Quantization: Post-Training Quantization Using NVIDIA Model Optimizer | NVIDIA Technical Blog
…What is NVIDIA Model Optimizer? The NVIDIA Model Optimizer (ModelOpt) library incorporates state-of-the-art model optimization techniques to compress and accelerate AI models. These techniques include quantization, distillation, pruning, speculative…
How to Eliminate Pipeline Friction in AI Model Serving | NVIDIA Technical Blog
Agentic AI / Generative AI How to Eliminate Pipeline Friction in AI Model Serving May 12, 2026 By Lovina Dmello Discuss (0) Discuss (0) L T F R E AI-Generated Summary Like…
Accelerating Long-Context Model Training in JAX and XLA | NVIDIA Technical Blog
…requiring user code modifications. AI-generated content may summarize information incompletely. Verify important information. Learn more Large language models (LLMs) are rapidly expanding their context windows, with recent models supporting sequences of…
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical Blog
…AI agents are taking on all types of work for businesses: routing logistics fleets, triaging support tickets, generating code, and orchestrating multistep workflows. How do you take a general-purpose model and…
Building Autonomous Vehicles That Reason with NVIDIA Alpamayo | NVIDIA Technical Blog
…model, Physical AI AV dataset, and AlpaSim simulator framework. We look forward to what the community will build with them! Happy coding! Discuss (1) Discuss (1) Tags Agentic AI / Generative AI | Robotics…
Accelerating Vision AI Pipelines with Batch Mode VC-6 and NVIDIA Nsight | NVIDIA Technical Blog
…Learn more In vision AI systems, model throughput continues to improve. The surrounding pipeline stages must keep pace, including decode, preprocessing, and GPU scheduling. In the previous post, Build High-Performance Vision…
Develop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints | NVIDIA Technical Blog
…To get started, check out the Qwen3.5 model page on Hugging Face and test Qwen3.5 on build.nvidia.com . Discuss (0) Discuss (0) Tags Agentic AI / Generative AI | Developer Tools…
Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI | NVIDIA Technical Blog
…worked on GPU-acceleration of quantum chemistry codes. Prior to joining NVIDIA, Melisa completed postdoctoral training at Stanford University focusing on applications of AI models in chemistry. View all posts by Melisa…
Build Accelerated, Differentiable Computational Physics Code for AI with NVIDIA Warp | NVIDIA Technical Blog
Simulation / Modeling / Design Build Accelerated, Differentiable Computational Physics Code for AI with NVIDIA Warp Mar 12, 2026 By Sheel Nidhan , Eric Shi , Neil Ashton , Zach Corse and Mohammad Mohajerani Discuss (0) Discuss…