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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Nscale
Nscale

Nscale

Founded by Josh Payne

Provision dedicated GPU compute clusters and managed infrastructure for machine learning workloads

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Nscale to run high-performance AI workloads on dedicated GPU and CPU compute infrastructure. It provides bare metal instances, managed Kubernetes, and Slurm clusters tailored for training and inference. You can configure custom environments, secure infrastructure through enterprise access management, and tap into modular liquid-cooled data center capacity. The service handles large-scale compute requirements with high-speed networking and storage, allowing engineering teams to build, test, and deploy foundation models and deep learning applications without managing physical server hardware.

What Nscale does

Reserve GPU capacity for model trainingDeploy managed Slurm clusters for batch jobsConfigure bare metal GPU serversRun containerized workloads with managed KubernetesSet up enterprise access controls and permissionsManage compute cluster networking and storageDedicated GPU and CPU compute clustersManaged Kubernetes and Slurm cluster supportBare metal server instancesDedicated inference infrastructureLiquid-cooled modular data centersCustomizable development and deployment environmentsEnterprise identity and access managementBehind-the-meter and microgrid energy infrastructure

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

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Nscale, GPU cloud, AI hosting, bare metal GPU, Kubernetes, Slurm, deep learning compute, AI infrastructure, data center, GPU clusters, model inference, model training, high performance computing, cloud compute, liquid cooling