How to Deploy Open-Source LLMs Cheaply with Nebius AI Studio
A practical tutorial for deploying open-source LLMs on Nebius AI Studio at low cost using per-second GPU billing and managed model APIs.
Nebius AI Studio Freemium
Nebius AI Studio: Rent and Run Open-Source LLMs and GPUs for Cheap AI Development
Nebius AI Studio is an affordable cloud platform built for developers who want to run open-source AI models and scale GPU workloads without huge bills. It combines managed model APIs, Kubernetes with GPUs, and flexible infrastructure that grew out of Nebius AI Studio‘s experience operating massive AI clouds.
The core value of Nebius AI Studio is per-second billing and no hidden costs, letting you spin up GPU instances or call hosted models only when you need them. This makes it a favorite for startups and researchers who want enterprise-grade infrastructure at startup-friendly prices.
Product Features
- Managed APIs for popular open-source LLMs with pay-as-you-go pricing
- Per-second billed GPU instances for full control over workloads
- Kubernetes-based orchestration for AI and machine learning jobs
- Choice of GPU types tailored to training and inference
- Simple developer dashboard and SDKs for quick integration
- EU data residency options to support compliance
Product Highlights
- Transparent, per-second pricing that saves money
- Broad selection of managed open-source models via one API
- Flexible mix of managed inference and raw GPU power
- Built by the team behind Nebius’ large-scale AI infrastructure
Use Cases
- Renting GPUs for fine-tuning and training models
- Calling managed open-source LLMs in production apps
- Running batch inference on large datasets affordably
- Hosting AI agents and Retrieval-Augmented Generation pipelines
- Prototyping machine learning workloads with minimal upfront cost
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