Google Cloud outlined a series of services and enhancements across its platform in a bid to make it easier for enterprises to bring their data to generative AI models, build applications and deploy them at scale.
"We expect to continue receiving large contracts reserving cloud infrastructure capacity because the demand for our Gen2 AI infrastructure substantially exceeds supply—despite the fact we are opening new and expanding existing cloud datacenters," said Oracle CEO Safra Catz.
Equifax in 2024 will decommission mainframes and data centers in North America as it largely completes a cloud transformation that dates back to 2018. Now Equifax CEO Mark Begor is looking for more product velocity, artificial intelligence capabilities and competitive advantage.
Nvidia's ability to stay ahead of the curve is fascinating. Nvidia has dominated generative AI with GPUs that until recently were the only game in town for accelerated computing, but should a new buzzword turn up CEO Jensen Huang will be riding that wave too.
Akamai announced plans to embed cloud computing across its edge network via an initiative called Gecko (Generalized Edge Compute) in a bid to grab AI inferencing, multiplayer gaming, streaming media, analytics and spatial computing workloads.
Alibaba's cloud unit in the fiscal third quarter delivered revenue growth of 3%, but improved its adjusted earnings before interest, taxes and amortization by 86%.
Amazon Web Services' fourth quarter revenue was $24.2 billion, up 13% from a year ago, and below the 30% and 26% growth rates put up by Microsoft Azure and Google Cloud, respectively.
For IBM, StreamSets and webMethods will give it more API management and data integration tools.
Oracle CEO Safra Catz said the only limiting factor to Oracle Cloud Infrastructure is capacity. There's a big data center buildout under way.
"Cost awareness is a lost art. We need to regain that art," said Amazon CTO Dr. Werner Vogels.
Amazon Web Services launched Graviton4, its custom chip for multiple workloads, with big improvements over last year's Graviton3. AWS also launched the latest versions of its Trainium and Inferentia processors, two GPUs that may be able to bring the price of model training down.
I'm willing to bet that in a year, we'll be talking about distributed compute for model training and more workloads on edge devices ranging from servers to PCs to even smartphones.
