Public Cloud
On demand GPU compute and inference services.
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Serverless
Autoscaling clusters for speed and scalability.
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Train LLMs and other AI models on high-performance GPU clusters. Our Managed Kubernetes and Slurm orchestration options allow for easy management and complete utilisation of your compute.
Reduce costs, grow revenue, and run your AI workloads more efficiently on a fully integrated platform. Whether you're using Nscale's built-in AI/ML tools or your own, our platform is designed to simplify the journey from development to production.
Our managed Kubernetes service handles all infrastructure and scaling needs for your AI training, allowing you to focus solely on developing and optimising your models.
SLONK (Slurm on Kubernetes) provides advanced job scheduling and resource management, improving the efficiency and performance of complex AI workloads.
Yes, our GPU clusters are designed to be flexible and scalable, accommodating small and large-scale LLM training projects and model fine-tuning requirements.
Our services support a wide range of AI workloads, including model training, fine-tuning, and inference. Our infrastructure is optimised for high performance and efficiency across each of these.
