Product Surface
Nebius's product extends beyond raw GPU rental into managed AI services. The breadth reflects the engineering depth available — building managed platforms takes the kind of engineering team Yandex left behind.
GPU compute
The core product is GPU compute in dedicated and reserved configurations. On-demand for shorter workloads; reserved for committed.
Managed Kubernetes
Nebius operates a managed Kubernetes offering tuned for AI workloads. The Yandex engineering heritage includes deep distributed systems expertise; the K8s offering reflects that.
AI Studio
An end-user studio for building and deploying AI models. Targets customers who want a more managed experience than raw GPU access. Bundled access to compute, inference, and platform tools.
Inference
Nebius offers inference platform features that compete with Together / Fireworks for some workloads. The specific product surface continues to evolve.
Storage and supporting services
- Object storage for AI workload data.
- Parallel filesystem options for high-throughput training.
- VPC and networking services.
- Identity and access management.
Developer experience
The DX is engineering-led and well-built. Console, CLI, API, SDKs in major languages. The product feels more "real cloud" than competing neoclouds with thinner product surfaces.
Takeaway
Nebius's product surface is unusually broad for a neocloud — closer to a small hyperscaler than to a GPU-rental specialist. The next chapter examines the major customer commitments that drive the business.