Full-stack AI infrastructure: GPU clusters, data centres and cloud
Nscale builds and operates GPU-dense AI infrastructure, spanning physical data centre construction through to a Kubernetes and Terraform cloud layer networked on InfiniBand and Arista. A deep observability stack (Prometheus, VictoriaMetrics, Grafana, Loki, Tempo, OpenTelemetry) and a construction-heavy project list show a company that pours concrete and runs GPU fleets in the same motion. Senior- and director-weighted hiring points to rapid buildout led by experienced operators.
Notable leadership hires: Regional Marketing Lead, Project Director, Network Platform Lead, Design Lead
Nscale is a London-headquartered, privately held AI infrastructure company founded in 2024, now in the 201–500 employee range. It develops data centres, deploys GPU clusters and provides the compute layer used to train and serve AI models, including fine-tuning workloads using LoRA, QLoRA and RLHF techniques. Its operations span construction, data centre ops, engineering and commercial teams. Hiring extends across the United Kingdom, United States, Singapore, South Korea, Poland and Sweden, with new-build data centre work underway in APAC.
Nscale runs Kubernetes, Terraform and Ansible on InfiniBand and Arista networking, with Go, Python, C++ and Java, plus Prometheus, Grafana, Loki, Tempo, OpenTelemetry, ClickHouse and Elasticsearch for observability and data.
Nscale is building hyperscale and greenfield data centres, including the Monarch compute campus and new-build sites in APAC, alongside GPU cluster deployments, AI data centre commissioning and an observability platform.
Nscale hires in the United Kingdom, United States, Singapore, South Korea, Poland and Sweden, with engineering, sales, operations and construction as its largest hiring areas.
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Nscale's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.