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The schoolyard chaos at OpenAI could detract from corporate adoption of AI. Microsoft may be best suited to restore order and trust.
Leaving the cloud is not a matter of choosing between two clear-cut options. Few enterprises go completely data center or completely cloud.
Humans, with our biases, fears, and comfortable habits, always put the brakes on revolutionary technology.
Many enterprises are dusting off the private cloud strategies that lost out to the allure of the public cloud. Is this the right move?
There’s definitely more uncertainty in going with a microcloud provider, but choosing a smaller company for your GPU services may pay off big in the end.
It seems to be fair game now to label cloud security as risky even though your data is likely safer there than on-premises.
Enterprises may find it faster and easier to deploy their AI models in a public cloud that runs them as a service. AWS is jumping on this trend.
With public cloud providers chasing generative AI, it may be a surprise when dollars flow in other directions. Vendors and customers have a lot to consider.
Yes, a tiny number of companies have relicensed their open source code. Let’s worry about actual problems, like security and megacompanies that contribute almost nothing.
Microsoft has rolled its Git Virtual File System and Scalar optimizations into a fork of Git designed to support enormous repos and large distributed teams.
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