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Google named Gartner cloud leader for ninth straight year

Brave/channellife.news · 2026年9月5日 00:15 · 阅读约 5 分钟
Google named Gartner cloud leader for ninth straight year

Google named Gartner cloud leader for ninth straight year

摘要: Data Protection

Hybrid Cloud

Google named Gartner cloud leader for ninth straight year

Fri, 4th Sep 2026 (Yesterday)

SEAN MITCHELL

Publishe

正文

Data Protection

Hybrid Cloud

Google named Gartner cloud leader for ninth straight year

Fri, 4th Sep 2026 (Yesterday)

SEAN MITCHELL

Publisher

Google has been named a Leader in Gartner's 2026 Magic Quadrant for Strategic Cloud Platform Services, marking the ninth consecutive year it has received that designation.

Gartner placed Google furthest for Completeness of Vision in its assessment of strategic cloud platform providers. The result gives Google a fresh endorsement as competition in cloud infrastructure and artificial intelligence intensifies among the largest technology groups.

Google used the announcement to outline the infrastructure themes shaping customer demand, with a strong focus on AI systems, hybrid and multicloud operations, and tighter control over where data is stored and processed.

At the centre of that pitch is what Google describes as a co-designed technology stack spanning custom silicon, hardware systems, software, orchestration tools, models and agent-based applications. According to Google, its infrastructure teams work with Google DeepMind researchers on designs across hardware and software layers, including Tensor Processing Units, Arm-based Axion processors, Google Kubernetes Engine and Gemini models.

Google also sought to avoid the perception of a closed system. It pointed to work on open source and open standards, including llm-d for distributed inference, GKE Prism for benchmarking open models and TorchTPU for PyTorch compatibility across TPUs and GPUs.

That combination of components underpins Google's AI Hypercomputer offering. Google added that the same infrastructure foundation is used by nine of the top 10 AI labs globally.

AI demand

The update comes as cloud providers race to show they can support fast-growing AI workloads without forcing customers to overbuild expensive computing estates. Google said demand inside its own operations has risen sharply, with its data centres now processing 3.2 quadrillion tokens a m


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