NVIDIA NeMo Agent Toolkit
…nat --help nat --version Local Setup for Examples # Clone the repo: git clone -b main git@github.com:NVIDIA/NeMo-Agent-Toolkit.git nemo-agent-toolkit cd nemo-agent-toolkit # Initialize the…
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Introducing NVIDIA BlueField-4-Powered CMX Context Memory Storage Platform for the Next Frontier of AI | NVIDIA Technical Blog
…In agentic systems, KV cache effectively becomes the model’s long‑term memory, reused and extended across many steps rather than discarded after a single-prompt response. Unlike immutable enterprise records, inference…
How Small Language Models Are Key to Scalable Agentic AI | NVIDIA Technical Blog
…Soon, non-specialists in any organization will be able to set up and deploy heterogeneous systems to improve workflows with little effort. Enterprises looking to control costs, improve efficiency, and scale responsibly…
How NVIDIA Dynamo 1.0 Powers Multi-Node Inference at Production Scale | NVIDIA Technical Blog
…local SSD, and remote storage) or are evicted. The KV router’s indexer consumes these events to maintain a consistent, cluster-wide view of KV block locations, enabling smarter routing and improved…
Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI | NVIDIA Technical Blog
…list[Atoms] = # This is your ase.Atoms input molecules # Define the url of the NIM # below is a typical local IP address and port url: str = 'http://localhost:8003/v1/infer' # Prepare…
Post-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer | NVIDIA Technical Blog
…from nemo.deploy.nlp import NemoQueryLLM nq = NemoQueryLLM( url="localhost:8000", model_name="llama3_70b_fp8", ) nq.query_llm( prompts=["How does PTQ work?"], top_k=1, ) Llama 3 PTQ example and…
NVIDIA Technical Blog
…8 MIN READ May 08, 2026 Improving Bash Generation in Small Language Models with Grammar-Constrained Decoding Bash is one of the most flexible and powerful interfaces exposed to AI agents. In…