Nebius AI Cloud
Inference as a Service & AI Studio
Moving from a trained model to a production system requires more than an endpoint. Nebius provides the serving infrastructure, deployment tooling, and operational environment that enterprise inference demands, from prototyping through to scaled, real-time model serving.
As a Premier Nebius Partner in the UAE, Zenvue helps EMEA enterprises turn trained models into usable, reliable enterprise systems, with deployment architecture, integration support, and ongoing managed operations.
How Inference Works
From prototyping to production serving
Nebius Serverless AI supports the full inference lifecycle: interactive development, batch evaluation, and live model serving, with no infrastructure overhead and pay-only-for-what-you-use pricing.
DevPods
Interactive GPU-backed environments for prototyping, debugging, and rapid iteration, with full framework access and no environment setup overhead.
Experimentation & development
Jobs
Containerised batch and finite workloads: model evaluation, batch inference, and data processing experiments that run to completion and release resources automatically.
Batch processing & evaluation
Endpoints
Custom model serving for production inference, evaluation workloads, and testing inference pipelines, with API access, scaling controls, and deployment management.
Production serving & live APIs
Inference Infrastructure
The operating environment behind the endpoint
Inference is not just a model and an API. It is an environment (orchestration, storage, monitoring, scaling, and tooling) that keeps production AI applications reliable and cost-efficient.
Cloud-Native Infrastructure-as-Code
Manage inference environments with Terraform and CLI. Reproducible deployments, version-controlled infrastructure, and automated provisioning workflows.
High Availability & Monitoring
Managed Kubernetes with hardware monitoring, network balancing, and resilient software stack, built for production workloads that cannot afford downtime.
Autoscaling & On-Demand Pricing
Pay only for what you use. Autoscaling in Managed Kubernetes adjusts compute to traffic patterns, with no over-provisioning during quiet periods.
GenAI Application Services
Object storage, container registry, managed PostgreSQL, and supporting services: the full environment your GenAI applications need beyond the model itself.
Third-Party Serving Frameworks
Native support for vLLM, NVIDIA Triton Inference Server, Seldon Core, and Stable Diffusion web UI. Deploy with the tooling your team already knows.
Who This Is For
From model APIs to enterprise AI applications
Nebius inference infrastructure is designed for teams that need production-grade model serving, with the reliability, scaling, and operational support that enterprise deployments require.
Internal AI Copilots & Assistants
Serve enterprise copilots, internal assistants, and domain-specific chatbots, with the latency, security, and scaling that production usage demands.
Model APIs for Products & Systems
Expose trained models via APIs to internal applications, customer-facing products, or operational systems, managed, monitored, and auto-scaled.
Inference Pipeline Testing & Evaluation
Evaluate and test inference configurations, model versions, and serving architectures before committing to production, with isolated environments and clear metrics.
Enterprise AI Without Infrastructure Burden
Organisations that need production model serving without building and managing GPU clusters, with serverless-style deployment and enterprise-grade reliability.
How Zenvue Helps
From trained model to production system
Zenvue helps EMEA enterprises choose the right serving architecture, deploy with confidence, and operate inference infrastructure without building a dedicated platform team.
Assess Inference Workload
We evaluate your model types, traffic patterns, latency requirements, and scaling expectations to define the right serving architecture.
Select Serving Architecture
Choose between serverless endpoints, managed Kubernetes deployments, or batch-processing patterns, based on your workload, not a default template.
Deploy & Integrate
Model deployment, API configuration, and integration with your enterprise applications and workflows, tested and validated before go-live.
Scale & Support
Ongoing performance monitoring, autoscaling configuration, cost optimisation, and managed support as inference usage grows.
Start the Conversation
Deploy AI models in production with confidence
Talk to an inference consultant about your model serving requirements, deployment architecture, and how Nebius AI Cloud can power production AI across your EMEA operations.