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    Nscale

    A vertically integrated AI infrastructure hyperscaler providing GPU clusters, data center capacity, and managed AI services.

    GBUnited Kingdom·Founded 2023
    Headquarters
    🇬🇧United Kingdom
    Data Hosting
    United KingdomIceland
    Structure
    Independent
    Compliance
    ▣GDPR▦EU Data

    Nscale key facts

    Last updated
    Legal entity
    Nscale Global Holdings Ltd.
    Headquarters
    United Kingdom (GB)
    Ownership
    Independent
    Founded
    2023
    Data hosting
    United Kingdom, Iceland, Norway, United States
    Infrastructure
    Self-hosted (Owns and operates data centers)
    Deployment
    Managed Hosting
    Open source
    No
    US Cloud Act exposure
    Exposed
    Replaces
    Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, CoreWeave, Lambda Labs

    About Nscale

    Nscale is a vertically integrated AI infrastructure hyperscaler that provides the full technology stack required for large-scale artificial intelligence development. Headquartered in the UK, the company distinguishes itself by owning and operating its own data center facilities, particularly in Northern Europe (Norway and Iceland), leveraging low-cost renewable energy to provide superior unit economics for AI workloads. The service serves enterprises, governments, and AI practitioners who require high-performance compute for training, fine-tuning, and inference. Its portfolio includes GPU compute clusters, specialized networking, and a suite of AI software tools like AI Studio and inference APIs. Through strategic partnerships with Microsoft and NVIDIA, Nscale aims to establish sovereign-grade infrastructure for sensitive and high-scale AI projects.

    Alternative to

    Target Segments

    Enterprise

    Deployment Options

    Managed Hosting

    Hosting & Security

    Infrastructure

    Self-hosted (Owns and operates data centers)

    Key Features

    Compute clusters (10,000+ GPUs)
    Fine-tuning service for LLMs
    Advanced inference APIs (batch and streaming)
    AI Studio development environment house
    Orchestration tools for scaling AI operations
    Private cloud deployments
    Renewable energy-powered data centers (Hydropower)

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