NVIDIA NIM Offers Optimized Inference Microservices for Deploying AI Models at Scale
The rise in generative AI adoption has been remarkable. Catalyzed by the launch of OpenAI’s ChatGPT in 2022, the new technology amassed over 100M users within months and drove a surge of development activities across almost every industry.
Entering 2024, organizations are shifting their focus to full-scale production deployments, which involve connecting AI models to existing enterprise infrastructure, optimizing system latency and throughput, logging, monitoring, and security, among others. This path to production is complex and time-consuming—it requires specialized skills, platforms, and processes, especially at scale.
NVIDIA NIM, part of NVIDIA AI Enterprise, provides a streamlined path for developing AI-powered enterprise applications and deploying AI models in production.
NIM is a set of optimized cloud-native microservices designed to shorten time-to-market and simplify deployment of generative AI models anywhere, across cloud, data center, and GPU-accelerated workstations. It expands the developer pool by abstracting away the complexities of AI model development and packaging for production using industry-standard APIs.
