Northflank

Northflank's named Weights case study reports nine clusters across AWS, GCP and Azure, over 250 concurrent GPUs and half a million daily inference runs; model loading fell from seven minutes to 55 seconds. These vendor/customer-reported outcomes add a concrete deployment beyond aggregate adoption figures.

Northflank reports 2,000+ startups and enterprises, 100k+ developers in production, millions of containers and 130B+ requests processed.

Northflank reports 2,000+ startups and enterprises, 100k+ developers in production, millions of containers and 130B+ requests processed.

Northflank's Cedana technical case describes secure Kubernetes workloads using Kata Containers and Cloud Hypervisor microVMs, supporting checkpoint-restore testing and customer environment provisioning. This specific runtime-isolation implementation is distinct from the general infrastructure product list.

Northflank provides AI-native runtime infrastructure spanning Kubernetes, GPU workloads, sandboxes, inference, training, CI/CD and BYOC across major clouds.

Northflank provides AI-native runtime infrastructure spanning Kubernetes, GPU workloads, sandboxes, inference, training, CI/CD and BYOC across major clouds.

Northflank reports 2,000+ startup and enterprise customers, more than 130B requests processed, 100K+ developers in production and $24M+ raised, supporting a durable platform business across Kubernetes, cloud and AI infrastructure.

Northflank supports production deployment across AWS, GCP, Azure, Oracle, CoreWeave, Nebius and customer Kubernetes with enterprise security and governance controls.

Northflank supports production deployment across AWS, GCP, Azure, Oracle, CoreWeave, Nebius and customer Kubernetes with enterprise security and governance controls.

Northflank runs workloads across AWS, GCP, Azure and Kubernetes with GPU inference, agents, databases, CI/CD, GitOps, secure multi-tenancy and polyglot application stacks; engineering roles include backend and cloud infrastructure, supporting broad portability across cloud-native, platform and AI infrastructure roles.

Kubernetes, GPU infrastructure, inference, sandboxes, CI/CD and multi-cloud skills transfer exceptionally broadly across AI infrastructure employers.

Kubernetes, GPU infrastructure, inference, sandboxes, CI/CD and multi-cloud skills transfer exceptionally broadly across AI infrastructure employers.