Shane Snider is a Senior Writer at The Channel Company. He covers a range of topics including PCs, mobile devices, cloud computing, and all aspects of the IT channel, with a particular focus on AI, machine learning, and energy sustainability. Shane's work has been featured in prominent publications such as CRN, AI Business, and InformationWeek.
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Shane's articles primarily focus on technology, data privacy, cybersecurity, and artificial intelligence (AI), with an emphasis on developments related to big tech companies. His coverage includes press releases, government announcements, and references to data.
Given the nature of his articles, Shane would likely be interested in receiving pitches from industry experts who can provide insights into the latest technological advancements or regulatory changes within big tech companies. Additionally, professionals who are well-versed in data privacy laws and cybersecurity regulations might find success in reaching out to him.
Sources should ensure that their pitches are backed by credible data where applicable and align closely with the themes covered in Shane's articles. While he has a United States geographic focus for some of his content, given the subject matter of his pieces it is reasonable to assume that international perspectives could also be relevant if they have implications for US-based audiences or entities.
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AI-driven data center growth is forcing utilities and regulators to rethink how the grid is planned, financed and protected from speculative demand.
As AI drives massive data center growth, communities demand transparency, local benefits, and control, making public trust a permitting constraint.
Hyperbolic and QumulusAI say customers now care as much about utilization, efficiency, and production operations as raw GPU capacity.
By: Shane Snider
AI startup says a multinational industrial software company selected its platform as the core GenAI engine for AI workloads.
By: Shane Snider
As AI infrastructure scales, power availability, cooling, utility timelines, and water use are shifting from facilities issues to core IT planning decisions.
Vultr selects HPE and Nvidia AI infrastructure as enterprise demand shifts from model training to production inference and large-scale deployments.
By: Shane Snider
Amazon and Google’s multibillion-dollar data center investments in Montgomery County are positioning Missouri as a key destination for hyperscalers seeking power and scalability.
By: Shane Snider
Operators are deploying battery systems to support reliability and grid flexibility, but cost, performance, and complexity still hinder adoption.
New Juniper-based switches, automation capabilities, and security integrations extend HPE’s networking strategy across AI training, inference, and enterprise environments.
FERC gave six grid operators 60 days to justify or revise large-load tariffs and 30 days to explain how they will power growing AI demand.
