Big Tech

Cloudera Positions Itself as the Flexible Alternative to Cloud-Only AI Deployments

As enterprises seek greater control over their AI infrastructure, Cloudera is building its strategy around the ability to run workloads across on-premises, private cloud, public cloud and hybrid environments.

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Cloudera builds its AI strategy around deployment flexibility

The calculus for enterprise technology decisions is shifting as organizations evaluate new artificial intelligence models while protecting their existing data infrastructure and development investments. The rise of open-weight models and open-source cloud platforms is driving renewed appetite for keeping systems on-premises rather than moving everything to public cloud providers. Cloudera Inc., with its long track record in data analytics, is positioning itself to capitalize on this demand.

"Companies want to have control that they don't think that they're getting in the public cloud," said Paul Gillin, enterprise editor at SiliconANGLE Media and theCUBE. "I think Cloudera sees that, and they're not ashamed to say that this is what they're all about."

Gillin made these remarks during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio, at EVOLVE26. He was joined by co-host Rebecca Knight to discuss how Cloudera is approaching deployment flexibility, modernizing its platform and building out its partner network.

Deployment flexibility supports gradual modernization

Cloudera's Anywhere Cloud offering enables customers to run workloads across on-premises, private cloud, public cloud and hybrid setups. Beyond simply offering multiple deployment options, the company's architecture tackles a real problem facing enterprise technology leaders: how to refresh aging systems without wholesale replacement, Gillin explained.

"They realize that forklift upgrades are a terrifying prospect for many [chief information officers], and so they're modularizing the product so that you can selectively patch and upgrade components that are important to you," he said. "I think they're trying to make it easy for customers to migrate to AI a step at a time by modernizing their data and their development platforms, by supporting the various AI development tools that are out there."

Cloudera's growing network of technology partners emerged as another key theme throughout EVOLVE26's sessions and presentations. These partnerships signal the company's understanding of where external capabilities can enhance what its platform delivers, according to Knight.

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"It seems as though Cloudera is taking a very wise and selective approach to who they partner with because they can't be all things to all people, and they know that," Knight said. "So they are partnering wisely."

Source: SiliconANGLE · Reporting supplemented by The Silicon Ledger staff.