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NVIDIA and Microsoft have announced a series of groundbreaking integrations designed to advance full-stack NVIDIA AI development on Microsoft platforms and applications. These new product announcements aim to accelerate AI development, improve productivity tools, and enhance industrial AI capabilities.
NVIDIA and Microsoft announce groundbreaking integrations for full-stack NVIDIA AI development on Microsoft platforms and applications. Azure ND GB200 V6 VM series is launched, offering AI-optimized virtual machines for large-scale deep learning workloads. Azure Container Apps now supports NVIDIA GPUs, enabling simplified and scalable AI deployment. NVIDIA expands its ecosystem of partners and developers bringing AI and high-performance computing options to the Azure platform. RTX AI-enabled PCs and workstations are launched, offering enhanced productivity tools and immersive experiences powered by local AI processing.
NVIDIA and Microsoft have announced a series of groundbreaking integrations designed to advance full-stack NVIDIA AI development on Microsoft platforms and applications. At Microsoft Ignite, the two companies showcased their collaboration with new product announcements that aim to accelerate AI development, improve productivity tools, and enhance industrial AI capabilities.
One of the most significant announcements was the launch of the Azure ND GB200 V6 VM series, based on the NVIDIA Blackwell platform. This cloud private preview offers a new AI-optimized virtual machine series that combines the NVIDIA GB200 NVL72 rack design with NVIDIA Quantum InfiniBand networking. The combination of these technologies is optimized for large-scale deep learning workloads, accelerating breakthroughs in natural language processing, computer vision, and other fields.
In addition to the Azure ND GB200 V6 VM series, Microsoft also revealed that Azure Container Apps now supports NVIDIA GPUs, enabling simplified and scalable AI deployment. This allows developers to focus on optimizing models and improving functionality while minimizing operational overhead. Serverless computing provides increased agility for rapidly deploying, scaling, and iterating on applications without worrying about underlying infrastructure.
Furthermore, NVIDIA announced its extensive ecosystem of partners and developers bringing a wealth of AI and high-performance computing options to the Azure platform. SoftServe, a global IT consulting and digital services provider, today announced the availability of SoftServe Gen AI Industrial Assistant, based on the NVIDIA AI Blueprint for multimodal PDF data extraction, on the Azure marketplace.
SoftServe's Gen AI assistant addresses critical challenges in manufacturing by using AI to enhance equipment maintenance and improve worker productivity. AT&T will also showcase how it is using NVIDIA AI and Azure to enhance operational efficiency, boost employee productivity, and drive business growth through retrieval-augmented generation and autonomous assistants and agents.
NVIDIA also unveiled a new reference workflow for 3D remote monitoring of industrial operations, which enables developers to connect physically accurate 3D models of industrial systems to real-time data from Azure IoT Operations and Power BI. These two services integrate with applications built on NVIDIA Omniverse and Universal Scene Description (OpenUSD) to provide solutions for industrial IoT use cases.
Another key announcement was the launch of RTX AI-enabled PCs and workstations, which offer enhanced productivity tools, creative applications, and immersive experiences powered by local AI processing. Updates to NVIDIA TensorRT Model Optimizer (ModelOpt) also enabled Windows developers to optimize a model for ONNX Runtime deployment.
This enables large models to fit within the constraints of PC environments, while making it easy for developers to deploy across the PC ecosystem with ONNX runtimes. Additionally, RTX AI-enabled PCs and workstations now offer multimodal small language models (SLMs) for enhanced digital human interactions and virtual assistants with greater realism.
NVIDIA's extensive collaboration with Microsoft aims to accelerate full-stack AI development on Microsoft platforms and applications. With these integrations, developers can focus on innovation and less on infrastructure management, ensuring resource utilization is both economical and efficient.
In summary, the collaboration between NVIDIA and Microsoft at Microsoft Ignite marks a significant milestone in the advancement of AI and HPC capabilities. The new product announcements aim to accelerate AI development, improve productivity tools, and enhance industrial AI capabilities, providing developers with a wealth of options to optimize their applications and workflows.
Related Information:
https://blogs.nvidia.com/blog/microsoft-ignite-blackwell-omniverse-rtx-ai/
Published: Tue Nov 19 10:00:51 2024 by llama3.2 3B Q4_K_M
