How NVIDIA Uses Azure

The article discusses how to build and orchestrate end-to-end synthetic data generation (SDG) workflows using NVIDIA Isaac Sim and NVIDIA OSMO.

The article discusses the development of scientific AI agents using reinforcement learning (RL) techniques, specifically through the NVIDIA NeMo framework.

The article discusses the integration of NVIDIA Nemotron RAG with Microsoft SQL Server 2025, showcasing how this collaboration enables the development of scalable AI applications on enterprise data.

The article discusses how NVIDIA Run:ai enhances AI infrastructure management on Microsoft Azure by optimizing GPU utilization and simplifying workload orchestration.

The article discusses NVIDIA Omniverse Kit App Streaming, a solution for deploying and streaming 3D applications built with NVIDIA's SDKs directly to browsers.

The article discusses the release of NVIDIA vGPU 19. 0, which enhances graphics and AI virtualization on NVIDIA Blackwell GPUs, specifically the RTX PRO 6000 series.

The article discusses the deployment of a serverless, distributed data processing architecture using Apache Spark and NVIDIA AI on Azure.

The article discusses the operational challenges of deploying large language models (LLMs) and introduces LLMOps as a framework for managing their lifecycle.

Conservationists have developed an AI tool, GhostNetZero. ai, to identify and locate dangerous abandoned fishing nets, known as ghost nets, using underwater imaging data.

The article discusses the latest enhancements in RAPIDS, including zero-code-change acceleration for Python machine learning, significant IO performance improvements, and out-of-core XGBoost capabi...

The article discusses the collaboration between Iguazio and NVIDIA, focusing on how their combined technologies, MLRun and NVIDIA NIM, enable organizations to build scalable and observable AI solut...

The article discusses how Atgenomix SeqsLab leverages NVIDIA technologies to enhance health omics analysis for precision medicine.

The article discusses the advancements in video analytics through the NVIDIA AI Blueprint for Video Search and Summarization (VSS), highlighting the integration of Vision Language Models (VLMs), La...

The article discusses the use of GPU acceleration to enhance performance in Apache Spark applications, highlighting the challenges of migrating workloads from CPUs to GPUs.

The article discusses how to leverage NVIDIA CUDA-X and Coiled to simplify data science workflows in the cloud, particularly for analyzing large datasets like NYC ride-share journeys.

The article discusses the integration of NVIDIA NIM microservices into Azure AI Foundry, highlighting how this collaboration enhances enterprise AI development by enabling efficient deployment of A...

The article discusses how to accelerate Deep Learning (DL) and Large Language Model (LLM) inference using Apache Spark in cloud environments.

This article provides a simplified introduction to CUDA, NVIDIA's parallel computing platform, and programming model.

NVIDIA has announced the general availability of Secure AI, focusing on protecting data and code during AI training and inference, particularly for large language models (LLMs).

The article discusses the increasing demand for NVIDIA accelerated computing in enterprise AI workloads and how Rafay's platform-as-a-service (PaaS) model addresses the challenges of building self-...

The article discusses how startups are leveraging AI to enhance maternal and newborn care, addressing the alarming statistics of maternal and infant mortality.

Microsoft and NVIDIA have collaborated to enhance the performance of the Meta Llama family of models on Azure AI Foundry using NVIDIA TensorRT-LLM optimizations.

The article discusses the NVIDIA Aerial Omniverse Digital Twin (AODT), a platform designed to enhance the development of AI-native wireless technologies for 5G and 6G networks.

The article discusses the advancements in NVIDIA's NeMo Retriever, which enables accurate multimodal PDF data extraction at a speed 15 times faster than traditional methods.

The article discusses the importance of measuring and improving AI workload performance using NVIDIA DGX Cloud Benchmarking.

The article discusses optimizing high-performance remote I/O operations using NVIDIA KvikIO for data analysis workloads on cloud object storage services.

The article discusses the latest additions to Microsoft's Phi family of small language models (SLMs), specifically the Phi-4-mini and Phi-4-multimodal models, which are designed for multimodal data...

The article discusses the continued pretraining of the Colosseum 355B large language model (LLM) by Domyn, leveraging NVIDIA DGX Cloud infrastructure.

The article discusses how AI-driven flood modeling and 3D visualization tools are enhancing community preparedness and response to climate risks.

The article discusses the integration of NVIDIA GPUs with Windows 365 Cloud PCs, emphasizing their role in enhancing AI-augmented workloads.

This article provides a comprehensive guide on creating a custom Slackbot LLM agent using NVIDIA NIM and LangChain.

The article discusses the integration of real-time IoT data with 3D digital twins for enhanced remote monitoring in industrial operations.

The article discusses the creation of real-time physics digital twins using NVIDIA Omniverse Blueprints, highlighting their importance in computer-aided engineering (CAE) and their application in v...

The article discusses how the partnership between NVIDIA and Dataloop is transforming the preparation of multimodal datasets for large language models (LLMs).

The article discusses the development and deployment of AI-powered devices called GrizCams, designed to track and geolocate wolves in Yellowstone National Park.

The article discusses NVIDIA SHARP (Scalable Hierarchical Aggregation and Reduction Protocol), a technology that enhances performance in distributed computing by offloading collective communication...

The article discusses how to scale Large Language Models (LLMs) using NVIDIA Triton and NVIDIA TensorRT-LLM in a Kubernetes environment.

The article discusses the UlangiziAI chatbot, which provides on-demand, AI-powered agricultural advice to farmers in Malawi through WhatsApp.

The article discusses the development of next-generation wireless networks using the NVIDIA Aerial Omniverse Digital Twin (AODT), emphasizing its role in advancing 6G research through AI and machin...

The article discusses how RAPIDS AI can accelerate predictive maintenance in manufacturing by leveraging advanced data analytics to minimize downtime and optimize maintenance schedules.

The article discusses the impressive performance of the NVIDIA Triton Inference Server in the MLPerf Inference v4.

This article discusses the process of pruning and distilling the Llama-3. 1 8B model into a smaller NVIDIA Llama-3.

The article discusses the NVIDIA Grace family of CPUs, designed to enhance data center efficiency amidst rising data processing demands.

The article discusses NVIDIA Isaac Lab, an open-source framework designed to enhance robot learning through high-fidelity simulations.

The article discusses how Infosys has automated the generation of TOSCA templates for telecom network design using NVIDIA NIM and NVIDIA NeMo.

The article discusses the new functionalities of NVIDIA Megatron-Core, an open-source library designed to enhance the efficiency of training generative AI models.

The article discusses the development of specialized cyber language models designed to enhance cybersecurity capabilities by effectively processing and generating machine logs.

The article discusses the launch of Continuum AI by Edgeless Systems, a generative AI framework that ensures data privacy through confidential computing and NVIDIA H100 GPUs.

The article discusses NVIDIA Metropolis, a platform for real-time vision AI that streamlines deployment through microservices and workflows.

This article introduces the multi-camera tracking workflow developed by NVIDIA, aimed at optimizing processes in large spaces such as warehouses and airports.