Scaleway Buys 1,000 H100s, Expands Cloud to 52 Countries
GPUs land at Iliad's DC5 Paris facility, with H company signed as a customer.
Scaleway, the cloud subsidiary of France's Iliad Group, expanded its Dedibox VPS offering from three cities to 52 countries and 65 cities globally. The company simultaneously announced a purchase of more than 1,000 Nvidia H100 GPUs, running on Nvidia's Spectrum-X networking fabric, to be installed at Iliad's DC5 data center in Greater Paris. This follows a DGX SuperPod acquisition announced in September.
Data Center Dynamics reports that Scaleway has also launched GPU Cluster On Demand, letting customers reserve clusters ranging from a few to several thousand. A supply deal with H, the Paris AI startup led by former Google DeepMind executives and targeting foundational action and multi-agent models, gives Scaleway an early enterprise anchor for its expanded GPU fleet.
Scaleway serves more than 25,000 businesses across Europe. Watch whether the H company deal becomes a replicable model: a European cloud provider supplying compute to European AI labs, keeping both infrastructure and distribution on the same side of the Atlantic.
Analysis
The operator to watch is not Scaleway but H. If a European lab anchors to European cloud compute, distribution stays regional and US hyperscalers lose a likely customer.
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I just read this AI news story and want to understand it in my own context. Title: Scaleway Buys 1,000 H100s, Expands Cloud to 52 Countries Summary: French cloud provider Scaleway has expanded its Dedibox VPS to 52 countries and 65 cities, and purchased more than 1,000 Nvidia H100 GPUs. The company also signed a deal to supply H100s to H, a Paris-based AI startup founded by former Google DeepMind leaders. Category: Industry Source: Datacenterdynamics, https://www.datacenterdynamics.com/en/news/scaleway-expands-to-52-countries-buys-1000-nvidia-h100-gpus/ Using my own history and context, help me understand: 1. What is the core development and why does it matter? 2. Who are the major players involved and what are their motivations? 3. How does this fit into the broader AI landscape right now? 4. How does this apply to my own work, and what should I do or watch next? Be specific and plain spoken.
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