CUDA Python
…How CUDA Python Works CUDA Python provides uniform APIs and bindings for inclusion into existing toolkits and libraries to simplify GPU-based parallel processing for HPC , data science, and AI. CUDA Python…
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Faster Chemistry and Materials Discovery with AI-Powered Simulations Using NVIDIA ALCHEMI | NVIDIA Technical Blog
…NVIDIA ALCHEMI (AI Lab for Chemistry and Materials Innovation) enables Chemistry and Materials Science researchers and developers with NVIDIA NIM microservices and toolkits optimized on NVIDIA accelerated computing platforms. This post introduces…
Accelerated X-Ray Analysis for Nanoscale Imaging (XANI) of Novel Materials | NVIDIA Technical Blog
…Test the newly developed multithreaded HDF5 library (beta version) for your workflow Watch the GTC session, Accelerated HPC+AI Workflow Enables Live-Steering of Vera C. Rubin Observatory and X-ray Free…
Scaling Autonomous AI Agents and Workloads with NVIDIA DGX Spark | NVIDIA Technical Blog
…Inference for autonomous AI agents Agentic tools often need to process massive context windows. OpenClaw, for example, is an AI agent runtime that requires these large context windows to comprehend requests and…
Post-Training Quantization of LLMs with NVIDIA NeMo and NVIDIA TensorRT Model Optimizer | NVIDIA Technical Blog
…It includes tools for training, finetuning, retrieval-augmented generation, guardrailing, and toolkits, data curation tools, and pretrained models, offering enterprises an easy, cost-effective, and fast way to adopt generative AI . After…
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…
How to Eliminate Pipeline Friction in AI Model Serving | NVIDIA Technical Blog
…Get started eliminating pipeline friction AI model serving pipeline friction is a solvable problem. TensorRT provides optimization with dynamic input profiles and plugin extensions. Profiling tools like trtexec , Nsight Deep Learning Designer…
How to Build In-Vehicle AI Agents with NVIDIA: From Cloud to Car | NVIDIA Technical Blog
…It offers tools for data curation, training, fine-tuning, evaluation, and guardrailed deployment across cloud and edge. Supporting LLMs, multimodal models, RAG, and agentic workflows, NeMo delivers scalable, production-ready AI applications…
NVIDIA AI-Q 및 LangChain을 활용한 기업용 검색 딥 에이전트 구축 가이드
…NVIDIA AI-Q 블루프린트와 NeMo Agent Toolkit은 NVIDIA Agent Toolkit의 일부입니다. 이 플랫폼은 장시간 자율적으로 작동하는 에이전트를 구축, 평가, 최적화할 수 있도록 도구, 모델, 런타임을 통합해 제공합니다. 구축 대상: 딥 에이전트 이번…
Revolutionizing AI-Driven Material Discovery Using NVIDIA ALCHEMI | NVIDIA Technical Blog
…Accessible chemical and materials Informatics tooling and pre-trained foundation models for mapping materials representations to properties for fast screening. Simulation tools for generating synthetic datasets to train and fine-tune AI…