NexGen Cloud launches OpenAI gpt-oss in UK & Europe for GDPR
NexGen Cloud has announced it is offering access to OpenAI's gpt-oss language model from servers located exclusively in the UK, Europe, and Canada, targeting organisations with requirements for GDPR compliance or those wishing to avoid exposure to the US CLOUD Act.
The UK-based company said it is supporting both the 120-billion parameter and 20-billion parameter versions of gpt-oss. These models can be accessed on demand via Hyperstack AI Studio or through dedicated virtual machines available for immediate deployment.
Data compliance
NexGen Cloud's service allows organisations to use OpenAI's large language models within EU and UK data jurisdictions, which has become a growing concern for enterprises handling sensitive customer data or operating under strict regulatory frameworks.
The new offering comes soon after the launch of OpenAI's gpt-oss models, the company's first set of open-weight models since GPT-2, released under the Apache 2.0 license. Open-weight models give organisations the ability to run advanced natural language tasks independently, without needing to rely on proprietary APIs or third-party SaaS providers, with heightened control over data privacy, performance, and cost.
Deployment options
Companies can deploy the 120-billion parameter version directly through Hyperstack AI Studio, an on-demand serverless inference service that eliminates the need to manage backend infrastructure. Both gpt-oss-120B and gpt-oss-20B can also be run on dedicated Hyperstack Virtual Machines, offering additional control and customisation for enterprise users. NexGen Cloud stated that its platform supports transparent, cost-per-minute billing, which it says enables predictable GPU usage and cost management.
"Bringing this model to our platform within days of its release is a testament to the team's speed and dedication to our customers. By running these models entirely on our European-owned cloud and through our own APIs - With no dependency on third-party (API) providers - we ensure organisations can maintain full control over their data, meet GDPR requirements, and avoid exposure to US data laws. With both virtual machine and serverless options, customers have plug-and-play solutions for any level of privacy, performance, and flexibility." Cory Hawkvelt, CPTO of NexGen Cloud.
NexGen Cloud is offering tutorials for both deployment options through its website. Fine-tuning capabilities for the 120-billion parameter model are expected to be introduced in the near future.
Focus on security
The company also highlighted that Hyperstack AI Studio is certified to SOC 2 Type 1 standards and is built to meet enterprise-grade security requirements. This, NexGen Cloud said, aims to provide assurances for customers who need to comply with rigorous data handling and privacy standards.
European ownership
The gpt-oss models are hosted entirely on infrastructure owned by NexGen Cloud within European data centres, including facilities in the UK, EU, and Canada. By excluding US-based hosting or third-party API providers, NexGen Cloud said it can address concerns regarding compliance with EU data protection regulations, as well as mitigating risks associated with the US CLOUD Act, which could compel US companies to release overseas data under certain circumstances.
Open-weight models, such as those provided by gpt-oss, are gaining traction among organisations wishing to avoid vendor lock-in and who require demonstrable control over their AI data workflows and compliance processes. Customers with more advanced requirements, or who operate in highly regulated sectors, can therefore run the models in dedicated Hyperstack Virtual Machines, while startups and small businesses can get started more quickly with serverless plug-and-play access in Hyperstack AI Studio.
NexGen Cloud stated that its infrastructure uses NVIDIA GPUs, high-speed networking, and fast NVMe storage. With both virtual machine and serverless inferencing options, organisations can select the level of privacy, security, and performance that aligns with their particular business or regulatory requirements.
