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Today’s Storystream

Qumulo has taken its cloud-native file system to Google Cloud, giving enterprises a way to shift heavy unstructured data workloads without reworking their applications. The move allows AI, HPC, and archive-intensive teams to scale performance on demand while keeping costs in check. With CNQ now available through Google Cloud Marketplace, organizations gain faster deployment, flexible throughput controls, and a unified data layer that adapts across multicloud environments.

Microsoft has mapped out a $17.5 billion investment in India as it tries to anchor itself in the country’s fast-rising AI landscape. Satya Nadella outlined the plan after meeting Prime Minister Narendra Modi, framing the move as a step toward building India’s own sovereign AI infrastructure. With hyperscale facilities slated to go live in 2026, the push comes as global AI leaders converge on India, drawn by its talent pool and expanding digital ambitions.

CoreWeave is leaning further into the debt markets as it ramps its AI infrastructure buildout, expanding its planned convertible notes offering to $2.25 billion after stronger-than-expected demand. The notes, due 2031, add to a year marked by aggressive financing moves, including $14 billion in combined debt and equity. Proceeds will partly support capped-call transactions, with the remainder directed toward broader corporate needs as the company maintains its rapid expansion pace.

XLC is raising the stakes in the bare-metal hosting space with a major bandwidth lift and sharper China-bound routing. U.S. servers now ship with 2Gbps global bandwidth, giving fast-growing workloads more breathing room. At the same time, the company doubled its CN2 capacity and introduced a 500Mbps China route, a move aimed at businesses that depend on stable, low-latency links across one of the world’s toughest network corridors.

Zilliz is tightening its partnership with AWS as vector databases rapidly shift from niche tooling to core AI infrastructure. The company is leaning on AWS to speed global expansion, streamline model integration, and handle the growing pressure of unstructured data workloads. The collaboration also deepens security and compliance coverage, giving Zilliz room to scale as organizations push retrieval-heavy and agentic AI systems into production.

New data from Credence Research shows enterprises shifting toward Quantum-Computing-as-a-Service as they brace for the next wave of computing. Instead of investing in fragile in-house hardware, companies are turning to cloud access to test algorithms, build skills, and run early hybrid workloads. The report suggests QCaaS is quietly becoming the gateway to future quantum infrastructure, with adoption rising fastest in finance, pharma, logistics, and government programs.