Organizations running mission‑critical workloads operate under stricter standards because system failures can often affect people and business operations at scale. They must ensure control, resilience, and operational autonomy such that innovation does not compromise governance.…
Enterprises today are embracing open-weight models for their transparency, flexibility, and ability to run across a broad range of deployment architectures. As the number of open models grows, the bar for reliability, instruction-following quality, multimodal reasoning,…
Ten years ago, Microsoft and Red Hat began a partnership grounded in open source and enterprise cloud innovation. This year, we celebrate a decade of collaboration. Our journey together has helped customers accelerate hybrid cloud…
Enabling the next wave of cloud transformation with Azure Networking The cloud landscape is evolving at an unprecedented pace, driven by the exponential growth of AI workloads and the need for seamless, secure, and high-performance…
We’re at a real inflection point in the AI landscape, a threshold where models move from useful assistants to genuine collaborators. Models that understand the objective, factor in constraints, and execute complex multi-tool workflows. Models…
Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force…