Fleet Operations

The full AI stack, engineered for scale

Powering next-generation intelligence from ground to cloud.

Prompt Workbench, Inference Endpoints, Fine-Tuning

Discover AI Services

Slurm, Nscale Kubernetes Services, Instances

Discover Platform Services

Infrastructure Services

Discover Infrastructure Services

Control Center, Observability, Radar API

Discover AI Services

Modular, Sovereign, Sustainably-powered

Discover AI Services

AI Services

Inference endpoints, fine-tuning workflows, and a unified workbench for prompt engineering.

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Platform Services

Virtual Machines or bare metal nodes. Deploy using Nscale Kubernetes Service or Slurm clusters.

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Infrastructure Services

High-throughput, low-latency backbone engineered for AI and High Performance Computing workloads.

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Fleet Operations

Automated system-wide configuration control, health monitoring, and infrastructure lifecycle management.

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Data Centers

Advanced sovereign and sustainable data centers anchor the stack with future-proof, modular facilities.

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Ship models faster with Nscale’s full-stack AI platform

Faster iteration, lower cost, and reliable scaling through unified workflows, from prompt engineering to production-grade inference. Powered by the most efficient AI infrastructure for advanced AI systems.

AI Services

Inference endpoints, fine-tuning workflows, and a unified workbench for prompt engineering.

Reduce time-to-market

Launch inference in minutes while eliminating cluster management overhead with an autoscaling inference layer backed by Nscale-managed GPU clusters.

Deliver differentiated models

Customize frontier models to your domain quickly and efficiently, reduce reliance on generic models, and accelerate the path from POC to production with serverless, API-driven fine-tuning pipelines.

Shorten R&D cycles and lower operational risk

Experiment and optimize prompts quickly without burning GPU hours, accelerating time-to-prototype through a browser-based workbench with versioned prompts and real-time model feedback

Get Started

Platform Services

Instances are available as virtual machines (VMs) or bare metal nodes, with the option to orchestrate deployments using Nscale Kubernetes Service (NKS) or Slurm clusters.

Create reliable R&D timelines

Make queue times predictable for teams to manage mixed workloads with confidence, delivered by Nvidia’s Slinky — an HPC-grade batch scheduling service that runs Slurm on Kubernetes and is tuned for large-scale GPU workloads.

Ensure production readiness by provisioning isolated Kubernetes environments in under two minutes for rapid testing, and production-ready training that reduces operational risk through GPU-aware scheduling, seamless autoscaling, and enterprise-grade security.

Accelerate experimentation

Avoid orchestration complexity

Get maximum performance for intensive workloads by choosing bare-metal nodes or the flexibility and convenience of virtual machines, delivered by Nscale-managed lifecycle controllers, prebuilt AI images, and optional VPC isolation.

Reserve GPUs

Infrastructure Services

High-throughput, low-latency backbone engineered for AI and High Performance Computing (HPC) workloads.

Increase feature development velocity

Maximise GPU efficiency and utilisation to lower cost per run and accelerate experiments, delivered as raw bare-metal nodes on the latest-generation of NVIDIA GPUs optimised for large-scale training, fine-tuning and inference.

Reduce wasted spend

Prevent slowdowns that delay product launches by ensuring predictable throughput for training and inference at scale, delivered by parallel, AI-optimised storage tiers with GPU-tuned distributed file systems and a low-latency design.

Prevent infrastructure stalls

Scale training from dozens to thousands of GPUs with no network bottlenecks, thanks to RDMA/InfiniBand/NVLink fabrics, multi-rack topology and low-latency interconnects.

Reserve GPUs

Fleet Operations

Automated system-wide configuration control, health monitoring, and infrastructure lifecycle management for maximum GPU utilization at scale.

Lower run-rate costs

Cut operational overhead and maximize GPU efficiency and utilization with a unified lifecycle manager that automates provisioning, scaling and patching, tracks node health and triggers remediation workflows.

Drive cost accountability

Gain end-to-end visibility into workloads to ensure predictable performance, cost accountability, and regulatory compliance, powered by telemetry across compute, storage, and networking with built-in dashboards, alerts, and integrated reporting.

Reduce financial risk

Unlock real-time GPU resource governance and repair visibility for confident capacity planning. Radar API exposes availability, repair metrics, resource stats, and maintenance notices through one unified API.

Reserve GPUs

Data Centers

Our global footprint of advanced sovereign and sustainable data centers anchor the stack with future-proof and modular facilities.

Secure modular, sovereign, and resilient capacity

Predictable capacity provided by modular, multi-megawatt data centers with sovereign controls.

Learn more

A complete AI cloud platform

Deploy AI on infrastructure designed for scale, resilience, and speed.

Explore the platform

AI Services

Inference endpoints, fine-tuning workflows, and a unified workbench for prompt engineering.

Reduce time-to-market

Launch inference in minutes while eliminating cluster management overhead with an autoscaling inference layer backed by Nscale-managed GPU clusters.

Deliver differentiated models

Customize frontier models to your domain quickly and efficiently, reduce reliance on generic models, and accelerate the path from POC to production with serverless, API-driven fine-tuning pipelines.

Shorten R&D cycles and lower operational risk

Experiment and optimize prompts quickly without burning GPU hours, accelerating time-to-prototype through a browser-based workbench with versioned prompts and real-time model feedback

Get Started

Platform Services

Instances are available as virtual machines (VMs) or bare metal nodes, with the option to orchestrate deployments using Nscale Kubernetes Service (NKS) or Slurm clusters.

Create reliable R&D timelines

Make queue times predictable for teams to manage mixed workloads with confidence, delivered by Nvidia’s Slinky — an HPC-grade batch scheduling service that runs Slurm on Kubernetes and is tuned for large-scale GPU workloads.

Accelerate experimentation

Ensure production readiness by provisioning isolated Kubernetes environments in under two minutes for rapid testing, and production-ready training that reduces operational risk through GPU-aware scheduling, seamless autoscaling, and enterprise-grade security.

Avoid orchestration complexity

Get maximum performance for intensive workloads by choosing bare-metal nodes or the flexibility and convenience of virtual machines, delivered by Nscale-managed lifecycle controllers, prebuilt AI images, and optional VPC isolation.

Reserve GPUs

Infrastructure Services

High-throughput, low-latency backbone engineered for AI and High Performance Computing (HPC) workloads.

Increase feature development velocity

Maximise GPU efficiency and utilisation to lower cost per run and accelerate experiments, delivered as raw bare-metal nodes on the latest-generation of NVIDIA GPUs optimised for large-scale training, fine-tuning and inference.

Reduce wasted spend

Prevent slowdowns that delay product launches by ensuring predictable throughput for training and inference at scale, delivered by parallel, AI-optimised storage tiers with GPU-tuned distributed file systems and a low-latency design.

Prevent infrastructure stalls

Scale training from dozens to thousands of GPUs with no network bottlenecks, thanks to RDMA/InfiniBand/NVLink fabrics, multi-rack topology and low-latency interconnects.

Reserve GPUs

Fleet Operations

Automated system-wide configuration control, health monitoring, and infrastructure lifecycle management for maximum GPU utilization at scale.

Lower run-rate costs

Cut operational overhead and maximize GPU efficiency and utilization with a unified lifecycle manager that automates provisioning, scaling and patching, tracks node health and triggers remediation workflows.

Drive cost accountability

Gain end-to-end visibility into workloads to ensure predictable performance, cost accountability, and regulatory compliance, powered by telemetry across compute, storage, and networking with built-in dashboards, alerts, and integrated reporting.

Reduce financial risk

Unlock real-time GPU resource governance and repair visibility for confident capacity planning. Radar API exposes availability, repair metrics, resource stats, and maintenance notices through one unified API.

Reserve GPUs

Data Centers

Our global footprint of advanced sovereign and sustainable data centers anchor the stack with future-proof and modular facilities.

Secure modular, sovereign, and resilient capacity

Predictable capacity provided by modular, multi-megawatt data centers with sovereign controls.

Learn more

Trusted by leading AI labs and enterprises to run critical workloads

Testimonials

By attracting global expertise and investment, [Nscale] is building the essential infrastructure for the UK to compete internationally, drive growth, and create jobs across the country.

Kanishka Narayan

UK AI Minister

Over just a few months, Nscale has moved with focus and velocity – turning ambitious plans into production capacity and becoming meaningfully relevant, fast.

Larry Aschebrook

Founder & Managing Partner, G Squared

AI is reshaping the global economy and redefining the value of renewable energy. With Nscale, we’re backing infrastructure that’s sovereign, scalable, and purpose-built to accelerate this transformation. 

Øyvind Eriksen

President & CEO, Aker ASA

Access thousands of GPUs tailored to your needs

Reserve GPUs