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Product Demonstration, Tutorial

Workshop: Agentic Pipelines orchestrating open-source LLMs ft. n8n & Nebius AI Studio

RAISE SummitDylan Bristow
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Nebius AI Studio Overview

  • Nebius operates as an AI-native "neocloud" provider with vertically integrated infrastructure, owning data centers across Europe (Finland, UK, France, Paris) and the US (Kansas, New Jersey).
  • The company employs over 500 engineers based in Amsterdam and is NASDAQ-listed with backing from Deep Capital.
  • As a strategic NVIDIA partner, Nebius optimizes the full stack from GPU hardware to API calls, ensuring control over inference quality and speed.
  • Nebius AI Studio provides access to 30+ versions of open-source models, including DeepSeek, Llama, and Mistral, via an OpenAI-compatible API and a visual Playground.
  • The platform emphasizes zero data retention, allowing users to opt out of data saving, and hosts workloads primarily in EU data centers to address privacy concerns.

Core Inference Capabilities

  • Inference is optimized for four key metrics: speed, cost, reliability, and privacy.
  • Models are offered in two distinct configurations: "base" for cost optimization and "fast" for lightning-speed real-time responses.
  • Nebius provides "autoburst" capabilities to support higher rate limits compared to standard providers like OpenAI.
  • Fine-tuning is offered without added hosting costs; users pay only for the base model price while running fine-tuned versions.
  • The platform supports multimodal inference, including embedding, text, vision, and image generation models.

AI Agent Architecture and Evolution

  • Modern AI agents represent a paradigm shift from simple chat responses to self-directed workflows integrating reasoning, memory, tools, and structured goals.
  • The evolution of agents occurred in four stages: basic LLM chat, advanced reasoning models (e.g., DeepSeek, GPT-4o), the addition of long-term memory/context, and finally, tool calling/MCP server integration.
  • Structured output and observability are critical for ensuring predictable orchestration and safety in autonomous agent planning.
  • Agent workflows function as a combination of automation logic (e.g., Zapier), LLM intelligence (e.g., GPT), and autonomous decision-making.

Practical Use Case: Nike Sales Analysis Pipeline

  • The demonstrated workflow utilizes N8n for orchestration and the DeepSeek-v3 reasoning model hosted on Nebius AI Studio.
  • Input: Users submit natural language queries via chat regarding sales strategies or product performance.
  • Data Retrieval: The agent fetches mock sales data from connected Google Sheets, covering product categories, prices, and customer details.
  • Processing: The agent breaks down queries, utilizes a built-in calculator for math, and applies a structured output parser to ensure clean JSON results.
  • Memory: The system buffers up to five previous messages to maintain context without re-processing historical data.
  • Output: The agent simultaneously updates a Google Doc with a detailed six-month strategy and provides a "too-long-didn't-read" summary in the chat.
  • Logic: The workflow includes if-else branching logic to differentiate between simple Q&A and in-depth reporting requirements.

Enterprise Scalability and Use Cases

  • Internal Support: Enterprises can deploy agents connected to HR or sales databases, allowing employees to query data via Slack for policy checks or balance inquiries.
  • Competitive Intelligence: Agents can use web search tools to scrape market data, aggregate findings, and generate reports on competitors.
  • Outreach Automation: Workflows can identify startups or leads via web searches, extract founder details, and draft personalized outreach messages.
  • Customer Support: Agents can summarize long support logs and automatically update FAQ documents (e.g., Google Docs) with new Q&A pairs.
  • Integration: The architecture supports connections to various frameworks (Crew AI, Agno) and observability tools (Helicone) for monitoring and evaluation.

Strategic Advantages of Nebius for Agents

  • Data Sovereignty: Zero data retention policies and EU-hosted infrastructure provide confidence for processing sensitive proprietary data.
  • Open Ecosystem: Users avoid vendor lock-in by utilizing open-source models available on the platform, allowing for seamless switching between 30+ models.
  • Flexible Pricing: The pricing model is pay-per-token for real-time usage and offers batch inference at 50% lower costs for processing large datasets (e.g., 5GB) within 24 hours.
  • Structured Output Reliability: Nebius optimizes hosted models specifically to ensure high accuracy in generating structured JSON and Markdown outputs.
  • Access Incentives: New users receive $1 in credits upon signing up for studio.nebius.com to test the Playground and models.