Oracle on Thursday reported third-quarter total revenue of $12.4 billion, up 18% from demanding AI workloads in Oracle Cloud Infrastructure (OCI) and Cerner’s contribution to the topline.
“So, we have a lot of businesses, a lot of new AI companies coming to Oracle because we’re the only ones that can run their workloads. And by the way — and we’re cheap. But so we’re fast and we’re cheap, Oracle President Larry Ellison said during an earnings call with analysts.
Top executives at Oracle claim that the second generation of OCI has an improved architecture and network capability that enables it to run AI workloads faster.
According to Ellison, Oracle’s Gen 2 cloud differs from other products on offer from rival hyperscalers because it uses a non-blocking remote direct access memory (RDMA) network that allows two networked computers to use any processing power. Allows unhindered information sharing.
“This means that if you are running a large cluster of Nvidia GPUs in a cluster doing a large AI problem at Oracle, we can create these AI clusters dynamically. Our standard network supports large clustering of GPUs. and allows them to communicate very quickly. So, we can create these clusters of GPUs. We can marshal them together. Other people can’t do that,” according to a transcript of The Motley Fool. According, Ellison said during the earnings call.
In contrast, according to Ellison, other infrastructure-as-a-service (IaaS) platforms on offer from other hyperscalers are physically building new hardware to be able to support such similar AI clusters.