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Nebius webinar with CSA Boris Popov on shipping a production RAG chatbot on Nebius AI Cloud, powered by NVIDIA H100 GPUs with Kubernetes, Triton, TensorRT, Milvus, and PyTorch.

Free short video course featuring Cursor's co-founder + Nebius Academy experts. Learn agentic development end-to-end: context management, parallel agents, browser/CLI testing, custom rules, automated docs, and prompt patterns that hold up in production.

Free, self-paced course. Get from your first login to real cloud workflows in 30 minutes — navigate the console, launch storage and VMs, deploy and run an LLM, configure access for a dev environment.

Follow how AI and science co-evolve through the lens of the cloud powering it. Research, interviews, and case studies on AI's impact on scientific discovery.

Become an AI-powered engineer through self-paced training in AI-assisted programming. Industry experts and tutors from leading tech companies. Includes 3 months of any JetBrains IDE free.

A 50-minute hands-on live build using Tavily, the search API built for AI agents and LLMs, to retrieve real-time grounded web results, with a demo and practical community examples.

End-to-end testing strategies for browser and CLI agents. Practical patterns for keeping agents reliable.

Common pitfalls in agent prompt engineering — what AGENTS.md gets wrong and what to do instead.

AI Day by Nebius Academy. Bryan Catanzaro on NVIDIA's open-model approach with Nemotron and the future of accelerated AI infrastructure.

Talks, discussions, and connections from the AI DNA event in Amsterdam. Highlight reel.

Practical patterns for keeping docs in sync with code, backend and frontend. Tooling + agent flows.

Parallel execution and custom agent patterns with Claude Code. Worked examples + best practices.

Get consistent, predictable behavior from your AI pair programmer. How to author Cursor rules that hold.

The future of coding agents and natural-language software development. Where the agent paradigm is heading.

Quick walkthrough for creating Object Storage buckets on Nebius — fundamentals you'll use for every training and inference job.

From container to live API. Walks through deploying a model as a serverless endpoint on Nebius.

End-to-end fine-tuning workflow using Nebius Serverless Jobs — from data prep to deployed checkpoint.

End-to-end tutorial on running Boltz-2 protein structure inference at scale on Nebius MK8s. Pairs with the boltz2-mk8s repo.

Marouane Khoukh introduces Managed Soperator — Slurm on Kubernetes for scalable AI workloads on Nebius.

Recap of what you've learned about Nebius Cloud and a roadmap for what to explore next.

From zero to a live AI agent in 15 minutes. Walks through Token Factory, three deploy methods (npm / Docker / Nebius Serverless), and a hands-on agent build.

Keep coding agents consistent across teams and codebases. Patterns for shared rules and config.

Orientation video for new Nebius Cloud users. Tour of the console and core concepts.

2-minute introduction to Nebius Token Factory — the next evolution of AI Studio with OpenAI-compatible API.

Failure modes of AI coding agents and patterns that hold up in production. Honest critique + remediation.

Live webinar with Colin Lowenberg + Michal from Nebius demoing OpenClaw end-to-end: install locally with Token Factory, deploy to Nebius Serverless via Docker (with a CLI skill that automates it), configure sub-agents, and Q&A covering cost, model switching, GitHub deployment roadmap, and Tavily for web search.

Step-by-step build of a Retrieval-Augmented Generation chatbot that indexes and queries your codebase using LlamaIndex and the DeepSeek v3 model served on Nebius.

A tour of Nebius Token Factory covering its OpenAI-compatible API, batch inference, fine-tuning, and how open models like Qwen Coder plug into agent frameworks and tools like Hugging Face and OpenRouter.

Hands-on tutorial fine-tuning the GPT-OSS 20B model on Nebius Token Factory: environment setup, JSONL dataset upload, creating a fine-tuning job, monitoring training, and downloading artifacts.

End-to-end walkthrough of fine-tuning an open-source LLM with LoRA on Nebius Token Factory and deploying it as a production-ready API endpoint, including dataset prep and job configuration.

Deploy the Tavily MCP server with NPX, expose it over streamable HTTP via Supergateway, wire up a LangChain MCP client, and connect a LangGraph agent for live web search.

Nebius walks through the four pillars of production AI agents (LLMs, agent frameworks, evaluation, memory) with hands-on integration examples for CrewAI, Google ADK, LangChain and Agno on Token Factory.

Tavily's free certification program teaching developers to build agents that search, validate and explore the web, covering search fundamentals plus the Extract and Crawl tools.

A practical fine-tuning walkthrough covering dataset prep, LoRA adapter training on Llama-3.1-8B, deployment and evaluation against the Berkeley Function Calling Leaderboard on Nebius AI Studio (Token Factory).

Step-by-step guide to building an orchestrated support system where specialized agents handle sentiment, retrieval and escalation, powered by Nebius AI Studio (Token Factory) models, Google ADK and the A2A protocol.

Builds a full RAG pipeline: chunking, Qwen3-Embedding-8B vectors stored in Qdrant Cloud, semantic retrieval, and personalized generation with Llama-3.3-70B served on Nebius AI (Token Factory).

Step-by-step build of Money-Guard, a Next.js dashboard that analyzes spending and answers questions about transactions using Meta Llama 3.1 70B served by Nebius AI Studio.

Build a full-stack Next.js code assistant that generates snippets across languages and returns automated reviews, powered by DeepSeek Coder on Nebius Token Factory.

Tavily tutorial that combines its Search API with LangGraph to build an agent generating dynamic, subject-specific RAG evaluation datasets straight from live web data.

A Nebius deep dive into how LoRA updates a low-rank decomposition of weight matrices (W' = BA) to match full fine-tuning at a fraction of the cost, plus newer variants like PiSSA and DoRA.

A hands-on how-to for calling Meta Llama 3.1 405B through the Nebius OpenAI-compatible API, with working Python, JavaScript, and cURL examples.

An end-to-end tutorial that distills a Qwen3-235B teacher into a Qwen3-4B LoRA student on Nebius Token Factory, covering batch-inference data generation, fine-tuning, deployment and evaluation with a downloadable notebook.

Explains how Nebius Token Factory turns base models into production systems via data ingestion, multi-node supervised fine-tuning, reinforcement fine-tuning, speculative decoding and deployment.

Tavily's primer on composing the /search, /extract and /crawl endpoints into real agent workflows, giving LLMs reliable real-time web access for RAG and research.

Tutorial showing how to use Rig's OpenAI-compatible base_url override to wire Nebius Token Factory into a Rust LLM agent — no custom provider code needed.

A multi-agent pipeline that reads resume PDFs with Mistral OCR, searches live job boards via Linkup, and uses Qwen3-14B on Nebius AI Studio to generate and filter matches, orchestrated with Google ADK.

Build a semantic search engine that pairs Couchbase as the vector store with CrewAI multi-agent RAG, using Nebius AI Studio for both the Llama LLM and the e5-mistral embeddings.

A practical guide to fine-tuning open-source LLMs on Nebius three ways: the no-code Web Console, the Python SDK, and raw cURL API requests, with .jsonl dataset prep.

Combine Tavily live web research, Couchbase vector search over past KubeCon talks, and Nebius AI Studio (e5-mistral embeddings + Qwen3) to synthesize unique conference talk abstracts.

Build an AI Trend Analyzer with five sequential ADK agents (Exa, Tavily, Firecrawl + summary/analysis) running Meta Llama 3.1 and Nemotron-Ultra-253B served through Nebius AI Studio.

A teacher-student distillation walkthrough for an insurance-claims chatbot, using Token Factory Data Lab batch inference, LoRA fine-tuning, serverless adapter deployment, and a Gradio comparison app. Ships with a companion Jupyter notebook.

Part 1 of a text-to-SQL RAG series: turn SQL schema into annotated markdown and generate vector embeddings with Nebius AI Studio (BAAI/bge-en-icl), stored in Postgres with pgvector.

Part 2 of the text-to-SQL RAG series: use the embeddings from Part 1 to retrieve relevant schema and generate correct SQL queries with Nebius AI Studio models.

Part 3 of the text-to-SQL RAG series: wrap the pipeline in an agent that queries a live database end to end, powered by Nebius AI Studio models.

Get free Nebius AI Studio API keys, route DeepSeek R1/V3 through OpenRouter, and plug the EU-hosted models into Bolt.DIY and Cursor for coding.

Wire Nebius-hosted Qwen models into LangChain/LangGraph through LiteLLM, then build a ReAct agent that talks to databases over the Model Context Protocol.

DeepEP (DeepSpeed Expert Parallelism) on Nebius. Configs and example launches for MoE training at scale.

Run:ai-based GPU orchestration on Nebius. Setup, scheduler config, and multi-tenant patterns.

Run multi-cloud ML workloads on Nebius using SkyPilot. Recipe with sample configs and run scripts.

Slurm-based training on Nebius compute clusters. Job submission scripts, sbatch templates, and orchestration patterns.

Volcano scheduler on Nebius Managed Kubernetes for batch ML workloads. Manifests + queue configurations.

Course materials for AI in Mathematical Research. Lean-based exercises and lectures on AI-assisted theorem proving and mathematical discovery.

Step-by-step manifests + commands to run Boltz-2 protein structure inference at scale on Nebius Managed Kubernetes. Pairs with the YouTube tutorial.

Proxy Claude Code requests through any OpenAI-compatible endpoint — point it at Nebius Token Factory and run Claude Code on open-source models.

Wire OpenAI's Codex CLI to Nebius Token Factory. Use Codex's coding workflow with open-source models at lower cost.

Run code in isolated cloud containers. ConTree gives AI agents secure sandboxed execution environments with full root access, network, and persistent images. MCP-compatible.

Claude Code skill for using ConTree — sandboxed container execution with Git-like branching of agent state.

Configure Nebius Token Factory as the inference provider in LangChain apps. Drop-in replacement for OpenAI client.

Materials for the LLM Engineering Essentials course. Notebooks covering training, fine-tuning, evals, and deployment patterns.

Supporting reference materials for the LLM Engineering Essentials course. Lookup-style HTML pages organized by topic.

LLMOps educational project — covers deployment, monitoring, and lifecycle management for LLM systems in production.

Open ML course — fundamentals through hands-on Jupyter notebooks. Good first stop for anyone newer to ML before going deeper.

Model Context Protocol server for Nebius. Lets MCP-aware clients (Claude Code, OpenClaw) operate Nebius resources as native tools.

Dual-compatible Claude Code + OpenClaw skill for managing Nebius AI Cloud infrastructure via CLI. Drop it in, get instant Nebius CLI mastery in your agent.

OpenClaw provider plugin for Nebius, plus the deployment UI (claw.moi) and the Claude Code skill. The reference implementation if you want to wire OpenClaw to Nebius end-to-end.

Token Factory provider plugin for OpenClaw — 44+ open-source models via a single endpoint. The TypeScript provider that powers the rest of the OpenClaw + Nebius stack.

Validated recipe + Nebius infra skill + 9-node workshop fleet runbook. Built and run live at Sandbox VR SF (May 2026, ~30 attendees fine-tuned hands-on).

Run Anyscale (managed Ray) on Nebius infrastructure. Terraform module for the integration plus reference workloads.

Multi-tenant GPU slicing setup for Nebius — partition a GPU across workloads with MIG / time-slicing. For shared dev environments.

Terraform module for a Nebius Managed Kubernetes cluster optimized for distributed training. GPU node pools, NCCL networking, fast storage.

Reference Terraform setup for Soperator — Nebius's Slurm-on-Kubernetes operator. Deploy a Slurm cluster on managed K8s with one terraform apply.

Baseline Terraform module for a Nebius VM. Building block — fork it as the starting point for your own infra modules.

Recipes for building agents on Nebius Token Factory. Tool-using LLMs, memory patterns, and orchestration examples.

Model distillation recipes — teach smaller, cheaper models from a larger teacher. Run on Nebius compute, serve via Token Factory.

LoRA / QLoRA fine-tuning recipes for Token Factory models. Includes sample datasets, training scripts, and serving the adapter.

Post-training techniques for open-source models on Nebius — RLHF, DPO, instruction tuning. End-to-end working examples.

Retrieval-augmented generation recipes using Token Factory inference. Vector stores, chunking, hybrid retrieval, and evals.

Tool-calling patterns on Token Factory. Schema design, parallel calls, error handling, structured outputs.

Official Tavily docs example that crawls and vectorizes a website with Tavily Crawl and MongoDB, then queries it through a conversational RAG agent.

Official Token Factory guide on defining tools, letting models pick functions from context (or forcing a specific call), with Python and JavaScript examples for building tool-using agents.

Official Token Factory docs showing how to force JSON responses via json_object mode or a strict JSON schema (e.g. a Pydantic BaseModel), with Python, cURL and JavaScript samples.

Official Tavily API reference for the Research endpoint, which runs multiple iterative searches, reasons over sources, and returns a detailed research report in a single agentic call.