What are the infrastructure requirements for GPT-OSS?

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OpenAI’s GPT-OSS is revolutionising the way businesses deploy AI, enabling companies to run advanced language models entirely within their own environments. This shift offers unprecedented control over data privacy, customisation, and long-term cost efficiency, crucial advantages for scaling enterprises eager to harness AI without the typical cloud constraints.

In this article, we explore what GPT-OSS is, its practical applications for growing businesses, the essential infrastructure requirements, and how our rental services can help you test and implement GPT-OSS seamlessly.

Table of Contents

What is GPT-OSS?

GPT-OSS (Generative Pre-trained Transformer Open-Source Software) is OpenAI’s open-weight language model designed to run locally on your own hardware. Unlike traditional cloud-based AI services that require ongoing API payments and external data processing, GPT-OSS provides:

Full data privacy by keeping all information on-premises
The ability to customise and fine-tune the model to specific business needs
One-time hardware investment instead of recurring cloud fees
Offline capability, allowing use even without an internet connection

With versions like the 120 billion parameter GPT-OSS-120B and lighter models for less demanding use cases, enterprises now have scalable AI power directly under their control.

How can scaling enterprises use GPT-OSS?

GPT-OSS opens new possibilities for enterprises looking to integrate AI deeply into their operations while maintaining strict security and cost control. Some compelling use cases include:

Automated Customer Support
Deploy local AI chatbots that handle sensitive client interactions without sending data to the cloud, improving response time and privacy compliance.
Document and Contract Analysis
Accelerate legal and compliance workflows by running confidential contract reviews and regulatory checks in-house, reducing reliance on external vendors.
Product Development and R&D Assistance
Use AI to process proprietary engineering data, generate code snippets, or simulate product scenarios within secure environments, safeguarding intellectual property.

What infrastructure does GPT-OSS require?

Running GPT-OSS at scale requires robust infrastructure, including:

Demands high-performance GPUs, for example, NVIDIA A100 or H100, to deliver fast inference and training speeds.
Fast storage solutions, NVMe SSDs, ensure quick data access during AI operations.
To safeguard data and maintain uptime, enterprises need secure, resilient networking and servers.
Adequate CPU power, sufficient RAM, and multi-core processors ensure smooth model performance and seamless integration with existing systems.

These requirements represent a significant capital investment, which can be challenging for enterprises still validating AI’s role in their workflows.

Renting vs Buying: What’s Best for AI infrastructure?

Renting infrastructure for AI
Renting high-performance GPUs offers flexibility and scalability, letting businesses adjust resources as project needs evolve. It enables quick access to the latest technology without large upfront costs, accelerating AI testing and implementation. This approach reduces financial risk and supports agile innovation, making it especially beneficial for scaling enterprises that are exploring AI for the first time.

Buying infrastructure for AI
As your AI projects mature and workloads become stable and predictable, purchasing hardware often becomes more cost-effective. Ownership provides full control, improved customisation, and long-term savings. Businesses should consider buying when they require consistent, large-scale AI processing or need enhanced security for sensitive data.

How we support your GPT-OSS journey

We start by understanding your current setup and business needs to recommend the best approach, whether renting or buying. We provide the right infrastructure for your project, including GPUs, servers, storage, or whatever else you require. If you already have an idea of what you need, we can offer expert advice to refine your plan.

Flexible rental solutions for AI testing and development

Before making a large hardware investment, consider our rental options that let you:

Access the latest GPUs, servers, and storage to test and validate GPT-OSS performance in real-world scenarios
Scale resources up or down cost-effectively as your AI projects evolve
Benefit from expert guidance to optimise your infrastructure for your specific business goals
Use short-term rental contracts for experimentation without long-term commitments

Our rental services reduce upfront costs and risks, helping you prove ROI and fine-tune your AI strategy before investing in permanent infrastructure.

Buying and long-term support

When you’re ready to invest, we support you with:

Procurement of GPUs, servers, and storage solutions tailored to your operational strategy and budget
Expert advice to ensure your infrastructure is right-sized, scalable, and future-proof
End-of-lifecycle services, including buy-back schemes to recover residual value for your next upgrade
Continued rental support during system transitions to keep your infrastructure running smoothly

Whether renting or buying, our experts will help you make confident decisions aligned with your business goals and AI roadmap.

Supporting businesses across the EMEA

GPT-OSS represents a pivotal advancement for enterprises seeking to leverage AI with full data control, customisation, and operational independence. With the right infrastructure and expert support, scaling businesses can harness GPT-OSS to transform customer service, legal processes, R&D, and more, all while safeguarding sensitive data and optimising costs.

If you’re interested in exploring GPT-OSS for your enterprise, contact us today to learn how our hardware rental and infrastructure services can help you build, test, and deploy AI solutions efficiently and confidently.