#hybrid-cloud

#hybrid-cloud

Let business problems drive technology choices. Start with a deep understanding of business pain points and desired outcomes. Build a business case for AI rooted in reality, not hype.

Red Hat AI Inference Server is intended to meet the demand for high-performing, responsive inference at scale while keeping resource demands low, providing a common inference layer that supports any model, running on any accelerator in any environment.

Organizations are making substantial cloud investments, but without proper cost visibility and optimization, they're essentially flying blind.

"A new breed of AI infrastructure providers is rising, offering transparent, customizable, and affordable machine learning solutions aimed at reducing enterprise confusion over hyperscaler pricing."

Nutanix is evolving beyond hyperconverged infrastructure by introducing containerized data services and expanding external storage options, facilitating migration away from VMware.

These instances are purpose built for the most latency-sensitive, compute-intensive, and throughput-intensive mission-critical workloads on-premises.

Haseeb Budhani emphasizes that GenAI will help to transform organizations' "data graveyards" into insightful resources, unlocking previously unusable unstructured data for training domain-specific AI models.

The evolution of containers and hybrid cloud technologies has democratized access to new applications, facilitating increased innovation and seamless collaboration within organizations. With 73% of enterprises adopting a hybrid cloud strategy, the move from on-premises to cloud is significant.