Key Points:
- Microsoft and NVIDIA have integrated NVIDIA NIM microservices and NVIDIA AgentIQ toolkit into Azure AI Foundry, enabling unprecedented efficiency, performance, and cost optimization for AI projects.
- Zero-configuration deployment and seamless integration with Azure AI Agent Service and Semantic Kernel enables rapid deployment of agentic workflows.
- NVIDIA AgentIQ optimizes performance by profiling and optimizing AI agents, reducing latency and compute overhead.
Report from Microsoft Azure Blog: "Accelerating Agentic Workflows with Azure AI Foundry, NVIDIA NIM, and NVIDIA AgentIQ"
Microsoft and NVIDIA have made a significant breakthrough in the development and deployment of AI applications with the integration of NVIDIA NIM microservices and NVIDIA AgentIQ toolkit into Azure AI Foundry. This integration is poised to revolutionize the way we build and deploy AI projects, enabling unprecedented efficiency, performance, and cost optimization.
Azure AI Foundry is designed to simplify every step of the AI development lifecycle, from design and customization to management and scaling. With the integration of NVIDIA NIM, developers can now deploy microservices easily and seamlessly, with zero-configuration deployment and effortless integration with Azure AI Agent Service and Semantic Kernel.
NVIDIA NIM microservices are built on robust technologies such as NVIDIA Triton Inference Server, TensorRT, and PyTorch, allowing for seamless scaling on managed Azure compute. This leverages the scalability and power of Azure’s NVIDIA-accelerated infrastructure for high-performance workloads.
NVIDIA AgentIQ takes center stage, providing real-time telemetry to fine-tune AI agent placement, reducing latency and compute overhead. It continuously collects and analyzes metadata to dynamically improve agent performance, reducing compute costs and boosting accuracy and responsiveness.
Industry leaders have already witnessed the benefits of these innovations, with Epic’s Vice President, Cloud and Analytics, Drew McCombs, noting that the integration offers a secure and efficient way to deploy open-source generative AI models that improve patient care and drive medical innovation.
By combining NVIDIA NIM and NVIDIA AgentIQ, Azure AI Foundry provides a turnkey solution for building, deploying, and scaling enterprise-grade agentic applications. This integration can accelerate AI deployments, enhance agentic workflows, and reduce infrastructure costs, enabling developers to focus on driving innovation.
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