Zenvue

    Nebius AI Cloud

    AI Model Training at Scale

    Training large-scale AI models (whether large language models, computer vision systems, or custom enterprise AI) requires purpose-built GPU infrastructure, optimised networking, and the right tooling. Nebius delivers all three, and Zenvue brings the local expertise to make it work for EMEA enterprises.

    Training Infrastructure

    Purpose-built for distributed training

    Nebius is not repurposed cloud compute. It is infrastructure designed from the ground up for large-scale AI model training, with the networking, orchestration, and resilience that production training demands.

    Compute

    Multi-Host GPU Training

    Distributed training on thousands of NVIDIA H100 Tensor Core GPUs with full-mesh InfiniBand connectivity, delivering bare-metal performance with minimal virtualisation overhead.

    Networking

    3.2 Tbit/s Per Host

    Up to 3.2 Tbit/s network throughput per host via NVIDIA Quantum InfiniBand, critical for distributed training where interconnect performance defines time-to-result.

    Orchestration

    Kubeflow, Ray & Managed Kubernetes

    Native support for Kubeflow and Ray on managed Kubernetes. Infrastructure provisioned through an intuitive cloud console and tools like Terraform, production-ready in minutes.

    Resilience

    Fault-Tolerant Infrastructure

    Built-in self-healing and automatic restart capabilities for hosts and VMs. Large-scale training runs continue through hardware faults without manual intervention.

    Operations

    Capacity & Queue Visibility

    Transparent capacity management with real-time workload queue visibility, granular observability, and documented APIs, reducing DevOps friction at every stage.

    What You Can Train

    From LLMs to domain-specific enterprise AI

    The infrastructure supports the full spectrum of enterprise AI training, from fine-tuning open-source models on your data to building custom systems for your industry and region.

    Custom LLMs & Language Models

    Fine-tune or train large language models on your enterprise data and industry terminology, with the compute scale and orchestration that production LLM training demands.

    Arabic-Language NLP

    Train Arabic-language NLP models for EMEA market applications: customer service, document processing, regulatory analysis, and enterprise communications.

    Computer Vision Systems

    Train and fine-tune computer vision models for manufacturing inspection, medical imaging, retail analytics, and infrastructure monitoring across EMEA enterprise environments.

    Domain-Specific Enterprise AI

    Build custom AI systems tailored to your industry, from financial risk models and logistics optimisation to healthcare diagnostics and energy forecasting.

    Post-Training & Fine-Tuning

    RLHF, instruction tuning, and domain adaptation workflows on managed infrastructure, so your models reflect your data, your terminology, and your business logic.

    Why Nebius

    Infrastructure that removes training friction

    Nebius reduces the operational burden of distributed training, with managed orchestration, fault tolerance, and engineering support that let your team focus on models, not infrastructure.

    Launch in Minutes, Not Weeks

    Production-ready training environments provisioned within minutes. No complex cluster configuration, with managed orchestration, networking, and storage from first workload.

    Built for Scale

    Architecture designed for multi-thousand-GPU training runs. Full-mesh InfiniBand, topology-aware scheduling, and bare-metal performance, not retrofitted cloud VMs.

    Engineering & Architecture Support

    Dedicated solution architects and 24/7 urgent-case support. Nebius reduces DevOps burden with observability, managed orchestrators, and direct engineering access.

    How Zenvue Helps

    From workload assessment to production training

    Zenvue ensures your training infrastructure is right-sized, properly architected, and supported, so your team can focus on building models, not managing clusters.

    01

    Workload Assessment

    We assess your training requirements, including model type, data scale, iteration cadence, and performance targets, to define the right infrastructure profile.

    02

    Environment Architecture

    Cluster sizing, orchestration selection, networking configuration, and storage architecture, designed for your specific training workloads.

    03

    Provisioning & Launch

    Environment setup, pipeline configuration, and initial training run support, delivering production-ready infrastructure, not a blank cloud console.

    04

    Optimisation & Support

    Ongoing performance tuning, cost monitoring, and managed support, keeping your training infrastructure efficient as workloads evolve.

    Start the Conversation

    Train AI models at scale across EMEA

    Talk to a model training consultant about your workload requirements, data strategy, and how Nebius AI Cloud can power your enterprise AI training pipeline.