# Nebius AI Cloud Nebius AI Cloud is a purpose-built cloud platform for developing, training, and serving AI workloads. It combines GPU and CPU compute, managed Kubernetes, MLOps tooling, and managed or serverless inference for teams scaling from experiments to production. - Findings24: - ウェブサイト: - 料金: Freemium - カテゴリー: AI推論プラットフォーム, GPUクラウド ## Nebius AI Cloudとは？ Nebius AI Cloud is a purpose-built cloud platform for developing, training, evaluating, and serving AI workloads. It provides GPU and CPU infrastructure, cloud-native scaling, managed Kubernetes, MLOps tooling, and managed or serverless inference in one environment. Teams can start with a single VM, create multi-node clusters, or scale to thousand-GPU environments. The platform emphasizes bare-metal-level performance through non-virtualized GPUs and network interfaces, while retaining on-demand and preemptible VM options and self-service cluster access. ## Nebius AI Cloudでできること ### GPU and CPU compute Run AI workloads on NVIDIA GPU systems spanning Blackwell and Hopper generations, or use Intel Xeon and AMD EPYC CPU instances for preprocessing, application backends, batch inference, evaluation, and automation. ### Non-virtualized accelerated infrastructure Nebius virtual instances do not virtualize GPUs or network interfaces. Multi-node deployments can use an optimized, non-blocking NVIDIA Quantum-2 InfiniBand fabric for distributed workloads. ### Flexible cluster scaling Launch an individual VM or scale to a multi-node cluster, with on-demand and preemptible VMs, the ability to scale clusters up or down, and spare-node replacement. ### Managed Kubernetes Deploy and manage containerized AI workloads with a fully managed Kubernetes layer optimized for AI. Kubernetes is also available as a standalone service for teams requiring direct DevOps-level control. ### AI development and inference services Built-in MLOps tooling, repeatable cluster creation, self-service access, and managed or serverless inference support workflows from model development through production serving. ## 利用シーン ### Train and fine-tune large models Use multi-node NVIDIA GPU clusters and InfiniBand networking for large-scale language-model training, fine-tuning, mixture-of-experts workloads, and multimodal development. ### Build production inference systems Deploy managed or serverless inference for applications that need to serve models, while using GPU or CPU capacity according to latency and workload requirements. ### Run data and evaluation pipelines Keep GPU capacity focused on model work by running tokenization, feature engineering, data loading, document processing, bulk evaluation, and other batch tasks on CPU instances. ### Operate containerized AI applications Use managed Kubernetes for AI application backends, serving logic, orchestration layers, ML pipeline scripts, scheduled jobs, and CI/CD workflows. ## よくある質問 ### What kinds of workloads does Nebius AI Cloud support? The supplied product information covers model training, fine-tuning, inference, data preprocessing, evaluation, AI application backends, orchestration, automation, and CI/CD workloads. ### Can I use Nebius for both small experiments and large clusters? Yes. Nebius describes launching a single VM as well as scaling to multi-node and thousand-GPU clusters. It also supports scaling clusters up or down and using on-demand or preemptible VMs. ### Does Nebius provide Kubernetes? Yes. Managed Kubernetes is described as a fully managed container orchestration layer optimized for AI workloads. A standalone managed Kubernetes service is also available for teams that need direct DevOps-level control over multi-node environments. ### How do I get started or discuss capacity? The site directs users to launch a first GPU instance in the Nebius console or contact the team about capacity, reserved pricing, or specific workload requirements. ## クイック情報 - **Product type**: AI cloud infrastructure platform - **Primary workloads**: Training, fine-tuning, inference, evaluation, and AI application operations - **Compute**: NVIDIA GPU instances plus Intel Xeon and AMD EPYC CPU instances - **Orchestration**: Managed Kubernetes, with a standalone managed service option - **Scaling range**: Single VMs to multi-node and thousand-GPU clusters - **Pricing information**: Public rates and detailed billing terms were not available in the supplied sources