
Chris Wright: AI needs model, accelerator, and cloud flexibility
Red Hat is repositioning its platform strategy to meet the shifting demands of enterprise AI. The company’s...
Red Hat is repositioning its platform strategy to meet the shifting demands of enterprise AI. The company’s...
Your infrastructure still needs to work even if you move all resources to the cloud. You still need a corporate network and maybe even one or more local storage servers to handle basic office workloads. Managing the infrastructure and choosing the right solution for your office, or even your own data center, requires the right information. Consequently, many companies are constantly looking for this. However, it is not easy to find the right information. That’s where we want to help you with this page. Whether you are still fully on-premises with your infrastructure, or have already added one or more cloud environments, we have information on all deployment models. We have in-depth stories on servers, storage, networking and IoT.
Nvidia is developing a version of its latest B200 flagship AI chip that complies with current US export restr...
OpenAI already wishes for a longer time to develop AI processors in-house to meet the required GPU capacity f...
Juniper Networks is opening Ops4AI Lab, a test lab for solutions from different vendors in the AI data center...
The new platform should help analyze data from sensors, devices and systems. On-site processing of the data e...
Nearfield Instruments has secured 135 million euros in a series C investment round. The money will help accel...
Datacenters consume vast amounts of energy, but operators can justify this consumption due to their essential...
With $60 million (€55.2 million) in new capital, DataCore aims to expand operational flexibility to support...
Western European internet is generally the fastest in the world. Research by cable.co.uk and M-Lab features a...