Powering next-generation intelligence from ground to cloud.
AI Services, Platform Services, Enterprise IAM & Security
Fleet Operations, GPU & CPU Compute, Fast Networking & Storage
Compute, Storage, Networking
Behind-the-meter power, Microgrid islands
Inference endpoints, fine-tuning workflows, and a unified workbench for prompt engineering.
Virtual Machines or bare metal nodes. Deploy using Nscale Kubernetes Service or Slurm clusters.
High-throughput, low-latency backbone engineered for AI and High Performance Computing workloads.
Automated system-wide configuration control, health monitoring, and infrastructure lifecycle management.
Advanced sovereign and sustainable data centers anchor the stack with future-proof, modular facilities.
.png)
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.
A managed AI platform for deploying and scaling AI applications, with inference, customizable environments, orchestration, and security.
Move from experimentation to production without managing infrastructure, using serverless or dedicated inference, fine-tuning, prompt workbench, and OpenAI-compatible APIs.
Run AI workloads with less operational complexity, using Nscale Kubernetes Service (NKS) and Managed Slurm for autoscaling and predictable training queues, while Environments isolate workloads and help teams get more from reserved GPU clusters.
Reduce operational burden for intensive AI workloads with dedicated GPU nodes managed through Nscale Cloud, while reservations and placements map workloads to physical topology and NVLink domains.
Dedicated GPU infrastructure tailored to your operational requirements.
Keep GPU capacity productive with a fleet-wide observability platform, automated fault detection and remediation, and resource governance that maintains healthy and schedulable capacity.
Get the right compute configuration into production quickly, with GPU and CPU infrastructure tailored to your platform, architecture and operating model.
Scale workloads without bottlenecks across low-latency InfiniBand, RoCE and NVLink interconnects that keep GPUs communicating efficiently. Keep training and inference fed with AI-optimised parallel storage for predictable throughput at scale.
Purpose-built data centers engineered for AI.
Expand capacity predictably with prefabricated modules designed for rapid, repeatable deployment.
Closed-loop liquid cooling removes heat efficiently to enable reliable operation for next-generation AI infrastructure.
Reduce facility energy overhead and operating costs through efficient power and cooling design that targets a Power Usage Effectiveness (PUE) of 1.1–1.15, leaving more power capacity for productive AI compute.
Dedicated energy infrastructure for faster, more resilient AI.
Bring AI capacity online faster with on-site behind-the-meter generation that bypasses multi-year grid interconnection queues and reduces dependence on utility timelines.
Keep AI workloads running during grid disruption with microgrid infrastructure designed to operate independently of the utility supply.
Production-grade orchestration, GPU infrastructure, and sustainable data centers, all vertically integrated, all under one roof. AI infrastructure that's ready when you are.
.png)
.png)
