NewsHosting news - 01 Aug 2026 - Listing Page: 28
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The economics of artificial intelligence have focused attention on GPUs, power grids, land acquisition, and multibillion-dollar campuses. Less attention has gone to the people expected to keep those facilities operating around the [...]
Gartner Sees AI Infrastructure Dominating Enterprise IT Spending - 📅 - Global technology spending is entering another period of acceleration, but the money is concentrating in far fewer places than previous enterprise investment cycles. Gartner now expects worldwide IT spending to reach $6.37 trillion in 2026, with AI infrastructure, cloud capacity, and software absorbing most incremental budgets while many conventional technology segments continue facing tighter financial scrutiny.
For enterprise buyers, the headline number is almost secondary. What matters is where capital is flowing. Gartner's latest forecasts suggest the industry's investment profile is becoming increasingly dominated by infrastructure capable of supporting AI workloads. Data center [...]
For enterprise buyers, the headline number is almost secondary. What matters is where capital is flowing. Gartner's latest forecasts suggest the industry's investment profile is becoming increasingly dominated by infrastructure capable of supporting AI workloads. Data center [...]
AI Infrastructure Drives Massive Switch Investment Forecast - 📅 - Spending on networking switches for AI back-end infrastructure is projected to approach $1 trillion between 2026 and 2030, according to Dell'Oro Group, reflecting accelerating investment in accelerated computing as hyperscalers, cloud providers and enterprise operators expand increasingly complex AI environments. The research also points to a rapidly changing competitive landscape for networking technologies serving next-generation AI clusters worldwide.
The race to build AI infrastructure has largely revolved around GPUs. Networking has often been treated as the supporting cast. That distinction is becoming harder to defend.
As AI clusters grow from thousands to hundreds of thousands of [...]
The race to build AI infrastructure has largely revolved around GPUs. Networking has often been treated as the supporting cast. That distinction is becoming harder to defend.
As AI clusters grow from thousands to hundreds of thousands of [...]
Every organisation running a production database eventually faces the same question: what happens if the primary database server fails? For customer-facing applications, every minute of downtime can affect revenue, customer confidence and operational efficiency.
Database High Availability (HA) is designed to minimise disruption by combining replication, automated failover, resilient networking and continuous monitoring. ...
When businesses choose a hosting location, the conversation is almost always about speed: lower latency for UK visitors, faster page loads, better search rankings. All true, and all good reasons to host in the UK. But there's a second question that gets asked far less often, usually only after a customer, auditor, or regulator raises it first: where, legally, is our data allowed to live?
Server location isn't just an ...
Nebius Highlights Energy and Water Efficiency in AI Growth - 📅 - Nebius has published its 2025 Sustainability Report as the AI cloud provider expands toward multi-gigawatt infrastructure, arguing that engineering efficiency rather than offsets or broad environmental commitments will determine whether large-scale AI can remain commercially and socially viable. The report combines operational performance metrics with community investment plans as scrutiny of AI infrastructure continues intensifying among policymakers, utilities, investors, and local residents worldwide.
The AI industry has entered a phase where technical performance alone is no longer enough.
Every new data center proposal raises familiar questions about electricity demand, water [...]
The AI industry has entered a phase where technical performance alone is no longer enough.
Every new data center proposal raises familiar questions about electricity demand, water [...]
To address this growing industry challenge, Servers99 has published a comprehensive, step-by-step technical guide on how businesses can elim
Xsight Labs Raises $300M at $2.8B Valuation to Power AI and Cloud Networks - 📅 - Xsight Labs has secured more than $300 million in fresh funding at a $2.8 billion valuation, giving the Israeli semiconductor startup additional capital to expand production and accelerate development of networking chips targeting AI infrastructure. The financing follows growing commercial adoption of its programmable data processing units and Ethernet switches by telecom operators, equipment vendors and hyperscale cloud customers.
The AI semiconductor race has become increasingly crowded, but it is also becoming more specialized.
While GPU vendors continue attracting the largest share of attention, another layer of infrastructure is quietly emerging as a competitive battleground. AI [...]
The AI semiconductor race has become increasingly crowded, but it is also becoming more specialized.
While GPU vendors continue attracting the largest share of attention, another layer of infrastructure is quietly emerging as a competitive battleground. AI [...]
The AI infrastructure market continues producing a familiar pattern. GPU demand dominates headlines, yet the companies enabling connectivity between enterprises, cloud providers [...]
Lightpath Reports 32% Traffic Growth as Enterprise AI Expands - 📅 - Enterprise AI adoption is beginning to leave measurable fingerprints on network infrastructure, according to connectivity provider Lightpath, which says IP traffic across its backbone has grown at an annualized 32 percent over the past eighteen months. The increase substantially exceeds historical growth rates, suggesting AI inference is becoming a meaningful source of enterprise bandwidth demand across multiple industries today.
The infrastructure conversation around AI has largely centered on training clusters, GPU supply and hyperscale data centers. Less attention has been paid to what happens after models are deployed. Yet inference generates a different kind of pressure. Every query, [...]
The infrastructure conversation around AI has largely centered on training clusters, GPU supply and hyperscale data centers. Less attention has been paid to what happens after models are deployed. Yet inference generates a different kind of pressure. Every query, [...]