Product

Introducing Nscale Fine-tuning: high-performance, customised models without friction

As AI adoption deepens across industries, the ability to adapt foundation models to your specific domain is becoming essential. Fine-tuning enables teams to deliver more relevant, accurate, and reliable outputs by aligning models with the data, terminology, and behaviours that matter most. The result is a model that performs better, responds faster, and aligns more closely with the goals of your product or platform.

But the process of fine-tuning has often been slow to adopt—not because it lacks value, but because it’s been difficult to access. We built Nscale fine-tuning to change that.

Now, you can customise leading open-source models with speed, control, and full visibility, on a pay-as-you-train platform designed for teams who want to build without barriers.

Introducing Nscale fine-tuning

We’ve built Nscale fine-tuning for teams that want enterprise-grade performance without the operational complexity or overhead. Our serverless platform supports leading open-source models and provides real-time training insights, giving you full control over your model development process.

It’s the speed and flexibility of a managed platform, paired with the power and transparency of open models.

What Makes It Different

  • Built for builders: Fine-tune models without having to manage infrastructure.

  • Performance-first: Monitor training and validation loss in real time and iterate quickly with confidence.

  • Clear economics: Pay only for what you train with a simple, token-based pricing model. No idle GPU costs.

  • Fully serverless: Start immediately, scale easily, and focus entirely on building.

Whether you're experimenting in a small team or deploying at enterprise scale, Nscale fine-tuning gives you the tools to deliver high-quality, tailored models, efficiently and reliably.

Why we’re investing in fine-tuning

We didn’t set out to follow a trend. We set out to solve a problem we were hearing again and again: teams need a better way to customise models without having to spin up infrastructure or rebuild their workflow from scratch.

Nscale fine-tuning was built by a team of engineers and machine learning practitioners who have spent years scaling training pipelines and supporting real-world deployments. They have seen first-hand how valuable fine-tuning can be, and how often it gets blocked by gaps in tooling or unnecessary complexity.This service reflects what we believe good AI infrastructure should offer: flexibility without friction, power without lock-in, and performance without waste. 

Try it today

We’re offering $5 in free credit so you can fine-tune your first model straight away. No credit card required.

Daniel Bathurst
CPO
Bio

Dan Bathurst is Chief Product Officer at Nscale, where he leads product and marketing across the company’s AI infrastructure stack. With over a decade of experience launching platforms across cloud, finance, AI, and Web3, he has helped shape Nscale’s GPU cloud services, built its distinctive brand, and driven partnerships with enterprise customers - with a focus on performance, scalability, and developer experience.