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IT leaders identify the technologies that are changing the way they work now — and what’s next. In some cases, those with the most disruptive potential are already part of your stack.
An investment in edge computing brings both hard and soft costs. Figuring out the hard costs is the easy part.
This could enhance AMD’s ability to develop high-performance systems, bolstering its competitiveness against Nvidia.
Anticipating astronomical compute-intensive AI workloads, hyperscalers and heavy data center operators are turning to energy providers for nuclear-fueled solutions in a ‘global arms race for power … like nothing we have ever seen before.
Broadcom and Google Cloud have announced numerous ways for enterprises to achieve cost savings and efficiencies, including 20% lower prices and up to 40% savings in migration incentives.
Most CIOs now evaluate potential vendors and partners based on their green initiatives as part of a greater push to lead sustainability efforts at their own companies.
To build or upgrade, that is the question facing heavy compute users, some of whom are finding upgrading CPUs and GPUs a go-to option, rather than building more server farms.
A flawed update to CrowdStrike Falcon sent Windows servers and PCs across the globe into an endless reboot cycle that IT organizations are still working to remediate.
Cyber insurance coverage is set to cover only a fraction of the losses, leaving affected businesses to grapple with substantial uncovered expenses.
CIOs continue to move workloads back from the public cloud, but their moves represent a refinement of their cloud strategies — not a rejection of the cloud itself.
‘Frenetic’ spending, compute-intensive workloads, and a market dominated by one hardware maker have IT leaders looking to new technologies and methods for containing the high costs of generative AI.
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