List of UpCloud GPU Servers Customers
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Since 2010, our global team of researchers has been studying UpCloud GPU Servers customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased UpCloud GPU Servers for Application Hosting and Computing Services from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using UpCloud GPU Servers for Application Hosting and Computing Services include: Cloud2 Finland, a Finland based Professional Services organisation with 82 employees and revenues of $30.0 million, Liberbyte, a Germany based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using UpCloud GPU Servers, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cloud2 Finland | Professional Services | 82 | $30M | Finland | Upcloud | UpCloud GPU Servers | Application Hosting and Computing Services | 2025 | n/a |
In 2025, Cloud2 Finland deployed UpCloud GPU Servers to power its AI Control Room platform. The UpCloud GPU Servers implementation sits within the company Application Hosting and Computing Services footprint and supports sovereign European AI deployments for customers across the Nordics and EU.
The implementation configures GPU-enabled compute instances and cluster topology to accelerate both inference and training workflows for large language models and intelligent agents. UpCloud GPU Servers are provisioned to host the AI Control Room application modules that manage model onboarding, runtime orchestration, and agent lifecycle operations, with capacity planning tuned for high-performance GPU workloads.
Operational coverage extends across Nordic and wider EU customer engagements, ensuring EU data residency for model artifacts and inference data as part of sovereign deployment requirements. The deployment reduced Cloud2 Finlands DevOps burden by offloading infrastructure management to the UpCloud GPU Servers platform, while maintaining high-performance inference and training capabilities referenced in the case study.
Governance for the rollout emphasizes data residency controls and deployment patterns that align with European sovereignty expectations, and the implementation supports faster onboarding of intelligent agents and LLMs for customer projects. UpCloud GPU Servers therefore functions as the primary compute layer within Cloud2 Finlands Application Hosting and Computing Services approach to delivering AI Control Room capabilities.
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Liberbyte | Professional Services | 10 | $1M | Germany | Upcloud | UpCloud GPU Servers | Application Hosting and Computing Services | 2019 | n/a |
In 2019, Liberbyte implemented UpCloud GPU Servers to host its bytEM data-exchange platform. The deployment is part of Liberbyte's Application Hosting and Computing Services footprint and is provisioned in UpCloud's Frankfurt region to preserve European data sovereignty for research and enterprise customers. Liberbyte operates as a small professional services firm with approximately 10 employees, so the architecture emphasizes compact, centrally managed cloud compute and network capacity to support customer-facing data exchange workflows.
The implementation uses UpCloud GPU Servers to provide GPU-accelerated processing for AI and data-processing workloads that underpin bytEM, alongside standard virtual compute and block storage tiers. Configuration focuses on low-latency networking and stable compute instances to maintain millisecond response characteristics for real-time exchange, with compute and storage orchestration implemented to support continuous ingestion and model inference pipelines. UpCloud GPU Servers is used to run the core processing modules of bytEM, including data transformation, indexing, and algorithmic processing typical for AI/ML workloads.
Operational coverage is concentrated on UpCloud infrastructure in Frankfurt, serving research institutions and enterprise customers across Europe, and the published case study documents long-term use of UpCloud cloud servers. Integrations are centered on Liberbyte's bytEM platform interfaces with customer data sources and consumer endpoints rather than third-party platform integrations. European data sovereignty, millisecond latency, and strong stability are cited as explicit objectives achieved through the Frankfurt-based deployment.
Governance and rollout were executed by Liberbyte's internal engineering team with progressive deployment and operational management practices appropriate for a small organization, emphasizing regional compliance and service stability. GPU capacity and instance configuration were sized to support AI/ML processing demands while keeping operational overhead minimal, and ongoing use has been sustained according to the published UpCloud case study.
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