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What’s the difference between evaluating an AI model and evaluating an AI agent?
While model and agent evaluation are inextricably linked, their technical benchmarks and metrics for success are fundamentally different.
Mastering Agentic Techniques: AI Agent Evaluation | NVIDIA Technical BlogWhat 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 decoding, and sparsity. ModelOpt accepts Hugging Face, PyTorch, or ONNX format models as input and provides Python APIs for users to easily combine different optimization techniques to produce optimized checkpoints. ModelOpt supports highly performant quantization formats such as FP4, FP8, INT8, and INT4, and advanced algorithms including SmoothQuant, AWQ, SVDQuant, and Double Q
Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer | NVIDIA Technical BlogWhat is CLIP?
CLIP (Contrastive Language-Image Pretraining), introduced by OpenAI in 2021, is a foundation vision language model (VLM) that learns a shared embedding space for images and text through contrastive learning on large image-text pairs. Its ability to produce semantically aligned representations has made it a core building block across modern multimodal systems. The CLIP text encoder is widely reused as a conditioning module for text-to-image (Stable Diffusion, for example) and text-to-video (AnimateDiff, for example) synthesis. Its vision encoder serves as the visual backbone in multimodal LLMs
Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer | NVIDIA Technical BlogTop stories
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3d agoEvaluate Clinical ASR Models Faster with Agent Skills and NVIDIA Nemotron Speech | NVIDIA Technical Blog
1w agoHow to Accelerate Protein Structure Prediction at Proteome-Scale | NVIDIA Technical Blog
…in transformer models. Chris is dedicated to solving scarce data problems, such as designing proteins for therapeutic and industrial applications. View all posts by Christian Dallago View all posts by Christian Dallago…
MDL SDK
…Compile materials into DAG's, including inlining, dead code elimination, and complete evaluation of uniform subgraphs, allowing renderers to inspect the material model. Class and Instance compilation modes fitting different rendering requirements…
Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security | NVIDIA Technical Blog
…Using container image hashes, DOCA Argus can help identify deployed AI software, models, and autonomous agents by correlating runtime artifacts against publicly available repositories and internal enterprise software inventories. Leveraging DOCA Argus…
NVIDIA Achieves Leading Agentic Coding Performance on First Agentic AI Benchmark | NVIDIA Technical Blog
…What is AA-AgentPerf? AA-AgentPerf is a hardware benchmark created by Artificial Analysis that measures the number of concurrent AI agents an inference system can support while meeting predefined, model-specific…
How Painkiller RTX Uses Generative AI to Modernize Game Assets at Scale | NVIDIA Technical Blog
…RTX Remix provided a real-world production environment where I could bridge that gap by fine-tuning models to solve an actual pipeline bottleneck, turning research into something that directly addressed Painkiller…
Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical Blog
…evaluate models for known prompt injection weaknesses, and apply NVIDIA NeMo Guardrails to filter and protect LLM inputs and outputs. Learn more This indirect AGENTS.md injection vulnerability as explored by the…
Design, Simulate, and Scale AI Factory Infrastructure with NVIDIA DSX Air | NVIDIA Technical Blog
…Discuss (0) Discuss (0) Tags Data Center / Cloud | Networking / Communications | Simulation / Modeling / Design | General | Air | Spectrum-X Ethernet | Beginner Technical | Deep dive | AI Factory | featured | GTC 2026 About the Authors About Ranga…
Nemotron 3 Super の紹介: エージェント型推論向けのオープン ハイブリッド Mamba-Transformer MoE
…モデルの重み Nemotron 3 Super の完全なパラメーター チェックポイントは、 Hugging Face および NVIDIA NIM を通じて利用できます。 NVIDIA Nemotron Open Model License は、企業にデータ制御を維持し、どこにでもデプロイできる柔軟性を与えます。 エンドツーエンドのトレーニングと評価レシピ NVIDIA では Nemotron 3 Super のトレーニングと評価の完全なレシピをリリースしています。レシピは事前トレーニングからアライメントまで、パイプライン全体をカバーしています。 これにより、開発者は、Super…
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…