It offers a platform that runs on Kubernetes, but shields users from its complexity, helping enterprise AI/ML teams build, deploy, and manage large language model applications easily.

"By building a fully automated CI/CD pipeline using AWS SageMaker, deployment times were reduced by 75%", reports Gautham. Tasks that took days to accomplish were now possible within hours.

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large ...

During the opening day of Build 2025, the company unveiled the Windows AI Foundry, which it said offers a unified and reliable platform supporting the AI developer lifecycle from model selection ...

As artificial intelligence (AI) and machine learning (ML) continue to advance, Linux has established itself as the preferred environment for AI development. Its open source nature, security, stability ...