BUFFALO, N.Y. — Researchers in the University at Buffalo School of Management have developed a new algorithm that cloud computing service providers can use to establish pricing and allocate resources.

San Francisco-based start-up Pump wants to become the “Costco of cloud computing.” The business, launched earlier this year, says it can reduce the cloud bills of small and medium-sized enterprises ...

Demand for computing power will continue to grow as AI and other technologies evolve. Canadian startup Distributive has developed a new distributed computing technology that uses idle computers, ...

The multicloud managed service provider DoiT International Inc. said today its popular automated cloud cost optimization tool Flexsave is now available to customers as a standalone product, without ...

To make it easier for organisations to balance price and performance in their cloud environments and reduce costs, Oracle plans to make available new Oracle Cloud Infrastructure (OCI) Compute E5 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The public cloud is growing rapidly and ...

Are you trying to figure out the whole cloud computing vs. virtualization thing, huh? It’s a big deal, especially if you want ...

The shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting ...

The focus on per-hour fees hides other critical cost components, and the lowest hourly costs can actually cost you more in total I was pleased to see that my friend Dion Hinchcliffe has been doing ...

Ahrefs estimates it would cost $400 million over three years if it were to switch from its colocation environment to AWS. A software firm in Singapore claims it would cost more than $400 million over ...

Distributed cloud compute-as-a-service startup Kinesis Network Inc. today announced the availability of a new serverless feature for enterprises to access its scalable “always-on” compute resources ...