Nebius

What is Nebius AI

Nebius AI is a cloud platform built for AI explorers who need efficient, scalable infrastructure to build, tune, and run AI models and applications on NVIDIA GPUs. It delivers a flexible architecture and tested performance by optimizing every layer of the stack, from compute to orchestration, to help teams accelerate training and inference while controlling costs. Nebius also offers AI Studio, a comprehensive environment for fine-tuning models at scale, and supports innovation through the AI Discovery Award focused on drug discovery and healthtech startups.

Nebius AI Main Features

• GPU-accelerated compute: Provision and run AI workloads on NVIDIA GPUs for faster training and high-throughput inference.
• AI Studio for fine-tuning: A unified workspace to configure datasets, choose base models, fine-tune at scale, and manage experiments.
• Flexible architecture: Modular components that adapt to diverse AI workflows, from prototyping to production.
• Performance-optimized stack: End-to-end optimizations across hardware and software to improve speed, reliability, and efficiency.
• Scalable operations: Run models and AI applications reliably, with tooling that supports iterative development and deployment.
• Startup enablement: The AI Discovery Award supports startups in drug discovery and healthtech, encouraging applied AI breakthroughs.

Who Should Use Nebius AI

Nebius AI suits data scientists, ML engineers, research teams, and product groups that require dependable GPU computing to train, fine-tune, and run AI models. It is a strong fit for startups exploring new AI products, companies operationalizing generative AI, and R&D teams in domains like drug discovery and healthtech that benefit from scalable fine-tuning and tested performance.

How to Use Nebius AI

1. Create an account and set up your workspace.
2. Provision NVIDIA GPU resources sized to your training or inference needs.
3. Open AI Studio and start a project for model fine-tuning or evaluation.
4. Prepare and upload datasets, then select a suitable base model and configure training parameters.
5. Launch fine-tuning jobs, track progress, and compare experiment results.
6. Validate model quality, then run inference workloads or integrate the model into your application pipeline.
7. Monitor usage and iterate on datasets, hyperparameters, and deployment settings as requirements evolve.

Nebius AI Industry Use Cases

Drug discovery: Startups can fine-tune property prediction or molecule-generation models on GPU instances to accelerate lead identification. Healthtech: Teams can adapt language or multimodal models for clinical summarization and decision support. Retail and logistics: Computer vision models for inventory tracking and quality inspection can be trained and served at scale. Media and generative AI: Creators can refine diffusion or language models to produce domain-specific content with faster turnaround.

Nebius AI Pros and Cons

Nebius AI FAQs

• What is AI Studio in Nebius?

  AI Studio is a comprehensive environment within Nebius for configuring datasets, selecting base models, and fine-tuning at scale, with tools to track and compare experiments.

• Which hardware does Nebius support?

  Nebius provides access to NVIDIA GPUs to accelerate training and inference for modern AI workloads.

• Can I use Nebius for both training and inference?

  Yes. Nebius is designed to build, fine-tune, and run AI models and applications, covering both training and inference stages.

• Who benefits most from Nebius?

  Teams that need reliable GPU performance and scalable fine-tuning—such as AI startups, research groups, and organizations in drug discovery and healthtech—benefit from Nebius.

• Does Nebius support startup programs?

  Yes. The AI Discovery Award supports startups in drug discovery and healthtech, fostering applied AI innovation.