Model Training

Nscale’s GPU Cloud offers a highly scalable, performance-optimised architecture that significantly reduces training times and boosts productivity, enabling you to achieve your AI goals easier, faster, and more cost-effectively than alternative Cloud platforms.

Highly Scalable Architecture
Quickly scale your resources to meet the demands of your AI projects. Our cloud infrastructure is designed to handle everything from small-scale experiments to large, complex models.
Reduced Training Times
Nscale Cloud features industry-leading GPUs that have been optimised to significantly accelerate model training, allowing you to iterate quickly and refine your models to perfection.
Increased Productivity
Nscale’s innovative Cloud stack enables you to schedule and automate repetitive tasks, freeing up time to focus on your business goals rather than infrastructure management.
Reducing AI Complexity

Accelerated Model Training

Training AI Models poses significant challenges that require robust, flexible, and efficient infrastructure to ensure reliability, cost-effectiveness, and ease of management. Nscale’s Cloud platform provides innovative tools to help reduce this complexity.

Simplified Scheduling and Orchestration
Slurm and Kubernetes

Nscale's Slurm service simplifies AI workload management by leveraging Kubernetes' orchestration capabilities. Users can deploy a Slurm cluster in just a few clicks and immediately begin scheduling jobs and utilise Kubernetes to efficiently schedule and run these jobs across a cluster of containers.

Performance Optimisations
Fastest GPU nodes available

Nscale's GPU cloud platform offers the fastest available GPU-accelerated bare metal nodes, specifically designed for training AI models and, handling compute-intensive tasks. Our infrastructure ensures that you get the best performance, helping you achieve your AI goals quickly and more effectively. Whether you are training new models or fine-tuning existing ones, our platform supports your needs with best-in-class performance and reliability.

Different types of compute for model training

Training Stack

Nscale provides a complete technology stack for running intensive training workloads in the most efficient and high-performing way possible.

Nscale's technology stack for Model Training

Performance

30%
FASTER INSIGHTS
Accelerate Time to Value
Nscale Cloud accelerates time to insights by up to 30% thanks to its AI-optimised stack.
80%
LOWER COST
More performance for less
Nscale delivers on average 80% cost-saving in comparison to hyperscalers.
40%
MORE EFFICIENT
Improved Resource Utilisation
Up to 40% improvement on efficiency.
100%
RENEWABLE ENERGY
Built on Sustainability
Nscale uses 100% renewable energy while leveraging the local climate for energy efficient adiabatic cooling.

More solutions

Nscale accelerates the journey from development to deployment, delivering faster time to productivity for your AI initiatives.

FAQs

What makes Nscale’s GPU Cloud different from others?

Nscale owns and operates the full AI stack – from its data centre to the sophisticated orchestration layer – and this allows Nscale to optimise each layer of the vertically integrated stack for high performance and maximum efficiency. Our aim is to democratise high-performance computing by providing our customers with a fully integrated AI ecosystem and access to GPU experts who can optimise AI workloads, maximise utilisation and ensure scalability.

What types of GPUs does Nscale offer?

Nscale offers a variety of GPUs to meet different requirements, including NVIDIA and AMD GPUs. Our lineup includes models such as the NVIDIA A100, H100, and GB200, as well as AMD MI300X and MI250X GPUs. These GPUs are optimised for a range of workloads including Model Training.

How does Nscale support sustainability?

Nscale is committed to environmental responsibility, utilising 100% renewable energy sources for our operations and focusing on sustainable computing practices to minimise carbon footprints.

Access thousands of GPUs tailored to your requirements.