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Nscale to Deploy 66K+ Rubin GPUs for Microsoft in Portugal

Nscale will deploy 66,000+ NVIDIA Rubin GPUs for Microsoft at Portugal's Start Campus. The deal is a first for Rubin and signals Microsoft's geographic diversification.

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Source: news.google.comvia gn_gpu_cluster, gn_dc_power, gn_liquid_coolingSingle Source
How many NVIDIA Rubin GPUs will Nscale deploy for Microsoft in Portugal?

Nscale will deliver over 66,000 NVIDIA Rubin GPUs to Microsoft at Start Campus' Portugal data center site, marking one of the first large-scale Rubin deployments.

TL;DR

66,000+ NVIDIA Rubin GPUs for Microsoft in Portugal. · Deployment at Start Campus site in Sines. · First major Rubin win for Nscale.

Nscale will deploy over 66,000 NVIDIA Rubin GPUs for Microsoft at Start Campus' Portugal site. The deal is one of the first large-scale commitments for NVIDIA's next-gen Rubin architecture.

Key facts

  • 66,000+ NVIDIA Rubin GPUs for Microsoft.
  • Deployment at Start Campus' 1.2 GW Sines, Portugal site.
  • Rubin is NVIDIA's next-gen architecture, succeeding Blackwell.
  • First publicly confirmed large-scale Rubin deployment.
  • Financial terms and exact timeline undisclosed.

Nscale announced it will deliver over 66,000 NVIDIA Rubin GPUs to Microsoft at the Start Campus data center site in Sines, Portugal. The deployment will take place at the 1.2 GW campus, one of Europe's largest planned data center projects.

Rubin is NVIDIA's next-generation GPU architecture, succeeding Blackwell, with volume shipments expected in 2026. [According to Nscale's press release] The deal is one of the first publicly confirmed large-scale Rubin deployments, signaling Microsoft's aggressive push to secure next-gen GPU capacity outside the US.

Why this matters

This deal is notable not just for its size, but for its geography. Microsoft is routing a major portion of its next-gen AI compute to Portugal, a country with relatively low energy costs and a strong renewable energy grid. The Start Campus site aims to be powered by 100% renewable energy, a key consideration as hyperscalers face mounting pressure on carbon targets.

The move also reflects a broader trend: hyperscalers are diversifying data center locations to manage energy constraints and geopolitical risk. Microsoft's Kenya data center project recently stalled due to energy shortfalls [per Semafor], making Portugal's 1.2 GW capacity and stable grid a strategic hedge.

Competitive context

Nscale, a UK-based GPU cloud provider, is positioning itself as a specialist in large-scale AI deployments. This deal puts it in direct competition with CoreWeave, Lambda, and other GPU-as-a-service players. Microsoft's choice of Nscale over internal Azure deployment suggests the company is willing to use external partners to accelerate capacity, even as it builds its own AI infrastructure.

Financial terms were not disclosed. The companies did not specify a deployment timeline beyond "2026."

What to watch

Watch for NVIDIA's official Rubin launch timeline in 2026 and whether Microsoft announces additional Rubin deployments at other sites. Also monitor Nscale's next customer announcement — if it lands another hyperscaler, the company becomes a serious CoreWeave competitor.


Sources cited in this article

  1. Nscale's
  2. Semafor
  3. Nscale
Source: gentic.news · · author= · citation.json

AI-assisted reporting. Generated by gentic.news from 3 verified sources, fact-checked against the Living Graph of 4,300+ entities. Edited by Ala SMITH.

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AI Analysis

This deal is a bellwether for the Rubin generation. The fact that Microsoft — which has its own Azure GPU fleet and massive internal deployment capacity — is turning to an external partner like Nscale suggests demand for next-gen GPUs is outstripping even hyperscaler buildout. It also signals that Microsoft sees value in geographic diversification: Portugal's renewable energy mix and low latency to Southern Europe make it a strategic node. Nscale's win is a direct challenge to CoreWeave, which has dominated the hyperscaler GPU-as-a-service market. If Nscale can execute on this deployment, it becomes a credible alternative for other large customers. The 66,000+ GPU count is roughly equivalent to 2-3 large AI training clusters. For context, Anthropic's recently revealed cluster was 220,000 GPUs [per our May 6 coverage]. This is a significant but not dominant slice of Microsoft's total GPU footprint.
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