Accelerate enterprise software development with NVIDIA and Model-as-a-Service (MaaS) on Red Hat AI

Accelerate enterprise software development with NVIDIA and Model-as-a-Service (MaaS) on Red Hat AI Models-as-a-Service: Enterprise AI on your terms Launch your own private AI code assistant today with our new AI quickstart What’s in the AI quickstart? Key benefits 1. Predictable cost and budget control 2. Built in security and compliance 3. Top-tier developer experience Get started now Additional resources Red Hat AI About the author Taylor Smith More like this The efficient enterprise: Scaling intelligence with Mixture of Experts Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Developing software as efficiently and swiftly as possible is a competitive necessity. The faster and sooner you can get new products to market, the greater advantage you have with your customers. In recent years, AI coding has become a compelling way to help solve these challenges by handling tedious, repetitive tasks and debugging and testing more quickly. This frees up valuable time for higher-impact development work. However, the rapid adoption of generative AI-powered coding has introduced new enterprise-level challenges. As organizations scale their use of AI tools, they confront critical questions: How can we be sure of long-term cost efficiency? How do we protect intellectual property and sensitive data within and around the codebase? And how can we meet our data and regulatory compliance mandates? Most organizations begin their AI journey with hosted model services, which is often a great starting point. But as usage increases, the reliance on hosted third-party endpoints, which charge based on quantity of tokens, can lead to unpredictable, high operational costs. Additionally, you have minimal control over the infrastructure, security and governance of the overall stack. This lack of control poses challenges for enterprise organizations, often forcing them to create exceptions to long-standing and well-justified policies.