NVIDIA Brev
…Use it to fine-tune, train, and deploy AI/ML models. Easily set up a CUDA®, Python, and Jupyter lab. Access notebooks in the browser, or use the CLI to handle SSH…
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Why is it necessary to customize an AI agent?
Foundation models come with broad language and reasoning capabilities across use cases and modalities based on the training datasets used. Models understand language and can follow instructions, but specialized workflows often require context that is restricted, specialized, or proprietary. Customizing an agent solves this challenge by shaping how the agent reasons under constraints, which tools it selects, how it structures its outputs, and how reliably it executes domain workflows.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical BlogWhat is a multistage pipeline for AI agent customization?
In practice, the most effective agent customization combines multiple techniques in sequence. The stages of a representative pipeline are outlined below. Start with system prompts, tool and skill definitions, and retrieval to establish baseline behavior.
Mastering Agentic Techniques: AI Agent Customization | NVIDIA Technical BlogHow to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo | NVIDIA Technical Blog
…The system combines AlpaSim simulator microservices , NVIDIA Physical AI Open Datasets , and distributed NVIDIA Cosmos-RL training framework into a scalable post-training pipeline. Built to scale seamlessly from a single GPU…
Accelerate Clean, Modular, Nuclear Reactor Design with AI Physics | NVIDIA Technical Blog
…Model training with PhysicsNeMo NVIDIA PhysicsNeMo is an open-source Python framework for building, training, and fine-tuning AI surrogate models that emulate complex numerical simulations. It is purpose-built for AI…
Running Large-Scale GPU Workloads on Kubernetes with Slurm | NVIDIA Technical Blog
…Most organizations running large-scale AI training have years of investment in Slurm job scripts, fair-share policies, and accounting workflows. The challenge is getting Slurm scheduling capabilities onto Kubernetes—the standard…
Video Codec SDK
…This reduces the $/stream and Watt/stream. High-Speed Video Acceleration for AI Training and Inference As AI models rely on ever larger video datasets, decode and data throughput can become limiting…
NVIDIA DLI Teaching Kit Program
…Teaching Kit program members are eligible to receive codes for free* access to DLI online, self-paced training for themselves and their students— a value of up to $90 per course, per…
NVIDIA Omniverse NuRec: Neural Reconstruction & 3D Splatting
…Physics Simulation Fundamentals Getting Started Guides for Sensor Simulation NVIDIA® PhysX® Newton Scalable Synthetic Data Generation for AI Model Training Bootstrap AI model training with synthetic data. Generate training data by randomizing…
Pruning and Distilling LLMs Using NVIDIA TensorRT Model Optimizer | NVIDIA Technical Blog
…Authors About Max Xu Max Xu is a senior technical lead at NVIDIA specializing in AI training and inference at scale, performance engineering, and end-to-end application deployment. He brings full…
Building Autonomous Vehicles That Reason with NVIDIA Alpamayo | NVIDIA Technical Blog
…The Physical AI AV dataset provides 1,727 hours of driving data from 25 countries and over 2,500 cities, featuring multi-camera, LiDAR, and radar sensor coverage, supporting robust training and…
Inside the NVIDIA Vera Rubin Platform: Six New Chips, One AI Supercomputer | NVIDIA Technical Blog
…It is designed for continuous training, post-training, and inference in always-on AI factories. Modern AI workloads—including reasoning, mixture-of-experts (MoE), long-context inference, and reinforcement learning—are not…