

Generative artificial intelligence is a transformative force set to redefine how enterprises approach productivity and innovation.
The transition from cloud-based AI to on-premises deployment is being addressed with turnkey solutions to ensure data security and intellectual property protection. Nvidia Corp.’s commitment to sustainability is driving innovations in power-efficient GPUs, reinforcing its dedication to environmental responsibility, according to Manuvir Das (pictured), vice president of enterprise computing at Nvidia. As AI continues to reshape the tech industry, Nvidia’s gen AI and sustainable hardware solutions are at the forefront of empowering enterprises for the future.
“Why do we produce the whole stack? The reason is because we consistently hear from customers that they want the choice,” Manuvir said. “We are the ones who say our hardware is available everywhere. Our software is the same software everywhere. You get a consistent experience.”
Das spoke with theCUBE industry analysts Rob Strechay and Rebecca Knight at the HPE Discover Barcelona event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the game-changing potential of gen AI and its implications for businesses worldwide. (* Disclosure below.)
AI has taken center stage in the tech world. Traditionally, building large AI models requires supercomputing-style infrastructure, limiting access to a select few experts. However, as AI becomes increasingly vital for companies, there’s a growing demand for a more accessible and complete solution, according to Das.
“What people have traditionally thought about with AI, that you’re building these big models and you need this super computer style infrastructure to build big models, they need that same kind of infrastructure,” he said. “They need a more complete solution.”
Gen AI is driving this change, with more companies wanting to create their own AI models. To meet this demand, a more prepared and scalable infrastructure is required, ensuring that even those without specialized expertise can harness the power of AI.
“As long as I’m using gen AI to create assistance for my employees, the risk profile is very low,” he said. “I think this assistant use case is really powerful. People use terms like copilot … is a term I think that’s good. I think every professional employee in every company can do with an assistant. And here’s gen AI to be that assistant.”
The transition from cloud-based AI to on-premises deployment is another critical aspect of the AI discussion.
Many companies started the AI journey by utilizing cloud services due to ease of use and accessibility through APIs. However, as AI projects mature and gain importance, concerns about data security and intellectual property arise. Every time data is sent to the cloud for AI processing, sensitive information is exposed, making a more secure approach necessary.
“As with many things, the cloud is a natural place to start,” he said. “You don’t have to deploy infrastructure. It’s already sitting there underneath. You don’t need to bring software in because it’s hidden in those services.”
Turnkey solutions that simplify AI deployment, especially as more companies aspire to leverage AI for specific use cases, are also needed, according to Das. These solutions are designed to bridge the gap between using prebuilt AI models and customizing them for individual needs. They empower enterprises to take advantage of AI without the complexity of starting from scratch, offering a quicker and more secure path to AI adoption.
“That’s why now you need the turnkey, because if every company had to redo for themselves what an OpenAI has done, or what Anthropic has done, that’s too hard. Somebody has to package it up and give it to them so it’s easy for them to use,” Das said.
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the HPE Discover Barcelona event:
(* Disclosure: TheCUBE is a paid media partner for the HPE Discover Barcelona event. Neither Hewlett Packard Enterprise Co., the main sponsors of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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