Artificial intelligence (AI) and generative AI (genAI) pilots are plentiful across industries, but for organizations experimenting with these technologies, the challenge lies in scaling successful pilots across the business. IDC research shows that over 91% of organizations worldwide are investing in genAI assessment or testing but that only about 30% have successfully moved genAI workloads into production.[1]
NVIDIA and Microsoft can help organizations achieve the scale they’re seeking with next-gen AI tools, solutions, and services that streamline development and enable new levels of productivity and innovation. The partnership brings together Microsoft’s Azure infrastructure and extensive lineup of software with the power of NVIDIA’s GPUs and software solutions to deliver a platform unmatched in performance, security, capability, and resilience. Years of purpose-built design and joint architecture supply the foundation for handling massive computing workloads and unlocking the next era of AI hyperscale computing.
The AI collaboration between NVIDIA and Microsoft “is a natural extension of a longer-term strategy to provide best-in-class GPU acceleration to customers,” says Jon Coons, senior specialist for Generative AI, Vision & Inferencing at NVIDIA.
Here are four ways NVIDIA and Microsoft are working together to help enterprises turn AI’s promise into reality:
1. Co-innovation
The companies’ collective approach to engineering and innovation empowers customers with hyperscale AI and the fastest and most secure AI platform for developers.
One significant advantage of the partnership is the ability for customers to tap into specialized industry solutions for AI development and deployment. “That’s a sweet spot for developers looking to quickly create highly differentiated applications and customer experiences,” says Stephanie Lemus, global blackbelt, App Innovation at Microsoft.
2. Ecosystem development
An interoperable ecosystem ensures that solutions are built to work together. Interconnected Microsoft and NVIDIA ecosystems and joint support simplify development tool chains and help organizations bring AI-enabled apps to market faster.
“AI has taken agile development to hyperspeed levels,” says Lemus. “Because the technology is changing so fast, an interoperable ecosystem is critical to giving customers access to the newest models without retooling or having to cobble everything together themselves.”
3. Democratizing responsible AI
NVIDIA and Microsoft solutions give more people in an organization the ability to make their data available for AI models, along with the ability to develop and train AI models to solve problems and accelerate innovation. This democratization of AI provides a superpower of sorts for operating AI at scale throughout the business while instituting responsible AI practices for building trustworthy applications.
“Customers need faster time to market and faster time to value,” says Coons. “They don’t need to know the parameter tuning process to optimize an AI inference model. We provide that for them, which makes it very easy to access and use.”
NVIDIA and Microsoft solutions expand the developer pool, by abstracting away the complexities of AI model development and packaging for production with industry-standard applications programming interfaces (APIs).
“By connecting NVIDIA’s AI platforms with Microsoft’s productivity tools, anyone in the company can theoretically create an app and start getting access to insights that they didn’t have the day before,” says Lemus.
4. Trust and security
NVIDIA and Microsoft’s shared ethos for AI development enables safety and security across all AI applications. Both organizations place integrity and standards at the core of AI coding.Security from the ground up is backed by a team of experts and proactive compliance.
“With Azure, you can basically air gap your AI deployment from the rest of the internet,” says Coons.
A trusted partnership that customers can rely on
The combined AI leadership of Microsoft and NVIDIA gives developers in any industry a new level of choice and enablement, along with the ease of use and freedom to develop intelligent solutions at scale.
“At the end of the day, people aren’t interested in becoming AI plumbers,” says Lemus. “They don’t want to figure out where the water main is at, or where it drains to, or how they manage the flow. They just want to turn on the tap and get what they need. That’s what our partnership delivers.”
To learn more about maximizing the era of AI-drive apps, click here: https://developer.microsoft.com/en-us/ai
[1] Future Enterprise Resiliency & Spending Survey Wave 8, September 2024.