Kubernetes machine learning is reshaping the tech landscape, allowing companies to overcome traditional barriers and reach unprecedented levels of artificial intelligence scalability.
This shift toward open-source, cloud-native tools empowers organizations to innovate faster, removing reliance on proprietary systems and creating transparent, adaptable infrastructures. As more businesses adopt Kubernetes, they gain the ability to grow at scale without the constraints of “black box” platforms, driving transformative advancements in AI deployment and operational resilience, according to Peter Salanki (pictured, left), chief technology officer of CoreWeave Inc.
“As a company, we would not be where we are today without Kubernetes,” Salanki said. “We started out building our cloud later than the traditional legacy hyperscalers. We built our entire stack around Kubernetes.”
Salanki and Chen Goldberg (right), senior vice president of engineering at CoreWeave, spoke with theCUBE Research’s Rob Strechay and Savannah Peterson at KubeCon + CloudNativeCon NA, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how …