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WHTop → 📋 News → Ingram Micro Brings MCP-Based AI Workflows to MSPs Worldwide
Ingram Micro Brings MCP-Based AI Workflows to MSPs Worldwide
📅 - Ingram Micro is extending its AI strategy beyond distribution by embedding secure AI integrations into channel operations, aiming to reduce the complexity of connecting business systems with large language models. The initiative targets managed service providers, cloud partners, and infrastructure resellers seeking operational efficiency without developing their own AI integration frameworks from scratch today.
The announcement centers on growing adoption of Ingram Micro's Xvantage Integration Hub and its Model Context Protocol - or MCP - Server. Hundreds of partners are now using the platform, according to the distributor, to connect AI assistants with operational data, automate routine [...][... Check source for end of article ...]
📅 - Trump Says Data Centers Could Rival Oil in Economic Importance - US President Donald Trump is casting data centers as a strategic industry on the scale of oil, arguing that US competitiveness in artificial intelligence and cryptocurrency now depends on expanding domestic computing and energy capacity. In an interview with Punchbowl News, Trump also warned that China could gain an advantage if American infrastructure investment slows as Beijing accelerates.
Trump's remarks, made during an interview with Punchbowl News, reinforce an increasingly familiar narrative inside Washington: compute capacity has become a geopolitical asset. The conversation is no longer confined to semiconductor manufacturing or advanced GPUs. Electricity generation, transmission [...]
📅 - Zayo Expands Fiber Infrastructure for AI with NVIDIA - Zayo is accelerating a major long-haul fiber expansion across North America after securing closer alignment with NVIDIA, underscoring a growing industry concern that AI infrastructure is increasingly constrained by network capacity rather than computing hardware alone. The project targets emerging AI corridors, reflecting changing deployment patterns beyond established data center markets and traditional connectivity hubs nationwide.
For much of the AI investment cycle, attention has centered on GPUs, power availability, and the race to secure enough data center space. Networking has largely remained in the background. That is becoming harder to justify. Massive AI clusters increasingly [...]
📅 - Europe's AI Data Center Growth Shifts Beyond Traditional Hubs - Europe's largest data center markets continue expanding despite worsening grid constraints, rising land costs, and increasingly restrictive planning regimes, with FLAP-D capacity approaching 3.8 GW as operators redirect AI infrastructure investment toward secondary locations. New research from JLL suggests power availability, rather than geography alone, is increasingly determining where hyperscale deployments can realistically proceed across Europe today.
The numbers remain striking even as market conditions become less predictable. Aggregate live capacity across Frankfurt, London, Amsterdam, Paris, and Dublin has nearly tripled since 2020, while another 2 GW is planned and 1.4 GW [...]
📅 - Firmus Lands $2B to Expand AI Factory Capacity Across APAC - Australian AI infrastructure company Firmus has secured commitments for a fully subscribed $2 billion equity financing, strengthening investor backing for its AI infrastructure strategy as demand for large-scale compute continues to reshape capital allocation across the data center industry. The funding supports accelerated AI factory deployments in Australia while preparing expansion into broader Asia-Pacific markets, where capacity shortages persist today.
The financing adds another signal that investors remain willing to commit significant capital to companies building physical AI infrastructure rather than developing foundation models themselves. While software companies continue [...]
📅 - QumulusAI Explores New Economics for AI Infrastructure Capacity - QumulusAI is testing an unusual commercial model for AI infrastructure, combining conventional GPU rental fees with a share of customer trading profits under an agreement supporting an autonomous hedge fund. The arrangement introduces performance-linked economics into cloud infrastructure while avoiding direct exposure to investment losses, potentially creating a different revenue profile for idle AI compute capacity.
The agreement pairs QumulusAI's Blackwell-based AI infrastructure with a customer operating what the company describes as a fully agentic hedge fund. Instead of relying solely on human portfolio managers, the fund uses specialized AI agents to continuously discover, [...]
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