IBM is gearing up to release z/OS 3.2 in September 2025, targeting hybrid cloud and AI environments. Built to support the IBM z17, the OS introduces hardware-accelerated AI features, simplified management tools, and deeper automation via z/OSMF. With expanded open-source support and infrastructure optimization, the update reflects IBM’s push to modernize mainframe operations for data-intensive, AI-driven enterprise workloads.
CoreWeave has secured a $2.6 billion delayed draw term loan facility to ramp up compute capacity for its long-term OpenAI contract. Backed by Morgan Stanley, MUFG, and others, the funding brings its total capital raised to over $25 billion in just 18 months. With demand from both OpenAI and Google, CoreWeave is positioning itself as a central player in the AI infrastructure arms race.
Qualcomm is in advanced talks with a leading hyperscaler to deploy ARM-compatible CPUs and inference racks, eyeing a 2028 revenue window. While its datacenter play gains steam, Samsung’s renewed Exynos push could threaten Qualcomm‘s mobile stronghold by 2026. Qualcomm’s Q3 beat expectations, but investor jitters remain. Meanwhile, Samsung’s chip business faltered under U.S. export curbs despite ambitions for 2nm SoC mass production.
QScale plans to build a multi-billion-dollar AI data center in Toronto, marking its boldest expansion yet. While the site remains undecided, the firm has started work with an Ontario builder and secured a power validation from Hydro One. Backed by major financing and growing government interest, QScale is quietly positioning itself at the center of Canada’s next high-performance computing corridor.
Britain’s competition regulator plans to assign “Strategic Market Status” to Microsoft and AWS, accusing them of driving up UK cloud costs through restrictive licensing and limited competition. The CMA estimates British firms overpay by £500M annually. While officials won’t act until 2026, Microsoft’s software rules face mounting pressure. The regulator signals that dominant players must adjust their practices—or risk tighter oversight.
SAIC has partnered with Google Public Sector to deploy Google Distributed Cloud (GDC) for mission-critical U.S. government operations. The deal enables secure, on-premise AI at the edge—supporting defense, intelligence, and civilian applications. SAIC will also train 1,000 staff in Google Cloud tech, deepening its AI integration. GDC’s air-gapped infrastructure ensures low latency and compliance for sensitive federal workloads.
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