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Agentic AI is transforming the landscape of scientific research and innovation across multiple industries. By combining cutting-edge AI technologies with massive computing power, companies like NVIDIA and Microsoft are accelerating breakthroughs that were once thought impossible. At the recent Microsoft Build conference, the two tech giants showcased their joint efforts to deliver agentic AI-powered applications, enabling researchers to innovate faster and more efficiently — from cloud data centers all the way to personal PCs.
Revolutionizing Research with Microsoft Discovery
Microsoft introduced Microsoft Discovery, an extensible platform designed to empower scientists and R\&D teams by fundamentally changing how discoveries are made. With agentic AI at its core, this platform speeds up the entire discovery lifecycle — from initial experimentation to product development — helping industries bring new products to market quicker than ever before.
Microsoft Discovery integrates NVIDIA’s advanced microservices such as ALCHEMI NIM, which enhances chemical simulations by optimizing AI inference for material science research. This enables accurate property predictions and candidate recommendations, significantly speeding up material innovations. Another integration, BioNeMo NIM, taps into pretrained AI workflows to fast-track drug discovery by improving AI model development in biology and healthcare.
In practical tests, researchers using Microsoft Discovery identified a new coolant prototype suited for immersion cooling in data centers in under 200 hours — a process that traditionally could take months or years.
Scaling AI Power with NVIDIA GB200 on Azure
To support these demanding AI workloads, Microsoft is deploying tens of thousands of NVIDIA GB200 NVL72 rack-scale systems across Azure data centers. These high-performance setups, featuring up to 72 NVIDIA Blackwell GPUs per rack and liquid cooling, deliver up to 35 times more inference throughput compared to previous generation systems. The innovation relies on advanced networking and custom hardware designs that enable seamless scaling for agentic AI applications, supporting the surge in AI-driven scientific research.
Satya Nadella (Microsoft CEO) and Jensen Huang (NVIDIA CEO) highlighted how ongoing software optimizations maximize developer productivity and reduce costs, while boosting performance and energy efficiency across AI and data workloads on Azure.
AI Reasoning and Healthcare Advancements
Expanding AI capabilities, Microsoft and NVIDIA also introduced the NVIDIA Llama Nemotron family of reasoning models and healthcare-specific BioNeMo microservices on Azure AI Foundry. These tools bring enhanced multi-step reasoning, coding, and domain-specific AI to applications in digital biology, drug discovery, and medical imaging.
Healthcare microservices like ProteinMPNN and RFDiffusion accelerate protein science and molecular modeling, enabling faster genomic analysis and improving patient care through AI-powered innovations.
Generative AI on Windows 11 with NVIDIA RTX AI PCs
Generative AI is changing the way we interact with PC software, enabling intelligent writing assistants, digital humans, and creative tools. NVIDIA RTX AI PCs running Windows 11 are at the forefront of this transformation, with new AI inferencing stacks like TensorRT for RTX offering 8 times smaller package sizes and superior on-device AI performance.
Supported natively in Windows ML, TensorRT for RTX streamlines AI development for over 100 million RTX AI PCs worldwide, making generative AI accessible to a broad developer base and unlocking new creative possibilities.
What Undercode Say:
The partnership between NVIDIA and Microsoft represents a landmark advancement in AI-powered scientific discovery. The integration of agentic AI into platforms like Microsoft Discovery fundamentally changes how research teams operate, dramatically reducing timelines for innovation. The deployment of NVIDIA’s GB200 architecture within Azure illustrates a scalable, high-performance backbone designed specifically to meet the computational needs of modern AI workloads — a critical factor as data complexity and AI models continue to grow.
Microsoft Discovery’s success in identifying a novel coolant in under 200 hours highlights the real-world impact of AI acceleration. This shows how agentic AI isn’t just theoretical; it’s actively transforming industries by delivering tangible results faster.
Moreover, the AI reasoning and healthcare microservices embedded in Azure AI Foundry signal a new era where AI directly augments scientific expertise, automating complex decision-making in critical fields like drug discovery and genomic analysis. This synergy between hardware, software, and AI models fosters an ecosystem where innovations are no longer bottlenecked by computational or analytical constraints.
The push to extend these advancements to personal computing through RTX AI PCs and Windows 11 further democratizes AI capabilities, empowering developers and creators to harness generative AI tools on accessible devices.
Strategically, this collaboration lowers the total cost of ownership for AI solutions, making high-performance AI infrastructure more accessible to enterprises and accelerating AI adoption. The NVIDIA-Microsoft alliance showcases how combining cloud scalability with edge computing unlocks new possibilities, pushing the boundaries of AI-driven innovation.
In summary, this ongoing collaboration paves the way for faster, smarter, and more efficient scientific research, transforming not only how discoveries are made but also how AI is integrated into everyday tools.
Fact Checker Results ✅
Microsoft Discovery platform’s integration with NVIDIA microservices significantly cuts research timelines.
NVIDIA GB200 systems in Azure deliver up to 35x more AI inference throughput compared to previous systems.
AI-powered healthcare microservices accelerate complex biological computations and patient care innovations.
Prediction 🔮
Agentic AI will become the cornerstone of future scientific and industrial innovation, with platforms like Microsoft Discovery setting new standards for research speed and accuracy. As NVIDIA’s GPU technology and AI microservices continue to evolve, we can expect further breakthroughs in materials science, drug development, and healthcare. Additionally, AI-powered tools on consumer devices like Windows 11 PCs will democratize access to powerful generative AI, sparking a wave of creativity and productivity across industries. The synergy between cloud scalability and edge AI will unlock new AI applications, driving a future where intelligent agents actively collaborate with humans to solve the world’s toughest challenges.
References:
Reported By: blogs.nvidia.com
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