For years, the “wall” between storage and networking administrators has been a fixture of the enterprise data center. I spent the early part of my career as a network engineer and the arena of storage was a bit of a black box, and for most companies, that’s still the case. This is because these networks operated differently.
As an industry, healthcare tends to be slow-moving and significantly behind others. There are many reasons for this, including budgets, availability of technology and the fact that any errors in healthcare can result in lost lives. Healthcare transformation has been a big part of past Nvidia GTC conferences, and it was again this year.
The initial phase of the artificial intelligence gold rush was defined by “The Build.” Hyperscalers and model builders raced to secure every available Nvidia Corp. H100 GPU, constructing massive, centralized cathedrals of compute. But as the industry descends from the peak of inflated expectations toward real-world utility, the conversation is shifting. AI is moving from the lab to the factory floor, the retail aisle and the telco edge.
Two words are practically ubiquitous in technology discussions these days: artificial intelligence and cloud. At last week’s Nvidia GTC conference in San Jose, many emerging technology companies discussed and demonstrated how they leverage AI and the cloud to deliver innovative products and solutions to their customers.
In its 18th annual GTC conference last week, Nvidia Corp. not surprisingly aimed to get audience members’ hearts pumping for what’s next — which obviously is the rapid evolution of artificial intelligence. Nvidia co-founder and Chief Executive Jensen Huang once again played his traditional keynote speaker role. As usual, he was dressed in all black, including a leather jacket. On Tuesday, Huang held court without a script for more than two hours, introducing Nvidia’s upcoming products.