Provides a fully managed AI cloud platform powered by NVIDIA® H100 and H200 Tensor Core GPUs, offering scalable GPU clusters with InfiniBand networking for high-speed data processing. Enables efficient model training, fine-tuning, and inference with tools like MLflow, PostgreSQL, and Apache Spark, reducing the complexity and cost of deploying AI applications at scale.
Funding
$700M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Training, fine-tuning, and deploying AI models at scale requires significant investment in specialized hardware and expertise, creating barriers to entry for many organizations. Managing complex infrastructure, including high-performance GPUs and networking, adds further overhead and complexity.
Solution
Nebius AI provides a fully managed AI cloud platform designed to streamline the development and deployment of AI applications. The platform offers on-demand access to NVIDIA GPUs, including H100 and H200 Tensor Core GPUs, interconnected by high-bandwidth InfiniBand networking. Nebius AI simplifies the AI lifecycle by providing managed services for MLflow, PostgreSQL, and Apache Spark, reducing the operational burden on data scientists and engineers. The platform's architecture supports efficient model training, fine-tuning, and inference, enabling users to focus on innovation rather than infrastructure management. Nebius AI also offers a cloud-native experience with infrastructure-as-code capabilities via Terraform, API, and CLI, as well as a user-friendly console.
Target Audience
The primary target audience includes AI researchers, machine learning engineers, and data scientists who require scalable GPU resources and a managed AI platform to accelerate their model development and deployment workflows.
Features
- Access to the latest NVIDIA GPUs, including L40s, H100, and H200, with InfiniBand networking up to 3.2Tbit/s per host
- Scalable GPU clusters managed with Kubernetes or Slurm
- Fully managed services for MLflow, PostgreSQL, and Apache Spark
- Cloud-native infrastructure management via Terraform, API, and CLI
- Ready-to-go solutions, including third-party integrations and Terraform recipes
- 24/7 expert support from solution architects
- AI Studio for GenAI open-source model endpoints