Cloud Services for LLMs and Generative AI in Ukraine

Deploy enterprise LLM assistants, RAG systems, chatbots, and AI applications on De Novo’s infrastructure, powered by NVIDIA H200 NVL, H100, and other GPUs.

A solution for rapidly building applications with generative AI. It allows you to quickly deploy a model, connect corporate data, test scenarios, run inference, and securely integrate Gen AI into business processes.

The LLM Cloud provides a ready-made infrastructure foundation for working with models, data, and AI applications without the need to deploy the entire stack from scratch yourself.

Dozens of pre-installed models including Gemma, GPT, DeepSeek, Granite, Llama, Mistral, and others are available on widest range of NVIDIA GPUs: H200 NVL, H100, A100 NVL, L4, and L40s.

Cloud Services for LLMs and Generative AI in Ukraine

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What is De Novo’s LLM Cloud?

The LLM Cloud is a comprehensive environment for working with large language models, combining GPU infrastructure, ML/LLMOps tools, Kubernetes, data storage, secure network infrastructure, and a platform for building generative applications.

Tensor Cloud — the compute layer: GPUs, Kubernetes, scaling, infrastructure for inference, fine-tuning, and ML/AI workloads.

AI Studio — application layer: a low-code/no-code environment for rapidly creating LLM assistants, chatbots, RAG solutions, document analysis, and integration with business processes.

What tasks does the cloud solve for LLMs?

LLM assistants for employees

Internal assistants for searching for information in regulations, instructions, knowledge bases, and technical documentation

RAG on corporate data

Responses based on company documents without transferring data to external public AI services

Chatbots for customers and contact centers

Automation of common inquiries, preparation of responses, summarization of dialogues, and support for agents

Document analysis

Processing of contracts, policies, tender documentation, technical specifications, reports, and regulatory materials

AI product prototyping

Rapid hypothesis testing before investing in full-scale development

High-performance LLM inference

Deploying models via API for integration with CRM, ERP, DMS, portals, and internal applications

A Quick Start for LLM Projects

A solution for teams that want to get started with their pipeline right away without having to manually deploy the entire stack. Saves MLOps and DevOps engineers dozens of hours.

AI Studio provides companies with a ready-to-use environment for building generative AI solutions. Here, you can select models, test scenarios, connect data, analyze application performance, manage resources, and gradually transition solutions from prototype to production. The platform is suitable for both development teams and business professionals who need a quick start without delving deeply into infrastructure configurations.

How to get started with an LLM?

Step 1. Define your use case
AI assistant, RAG, document analysis, chatbot, model inference, fine-tuning, or an AI product prototype.

Step 2. Choose a path
AI Studio for quick deployment, ML Cloud for model engineering, or Tensor Cloud for infrastructure scenarios.

Step 3. Deploy the environment
AI Studio can be automatically deployed from templates in Tensor Cloud; the user receives a ready-to-use environment with integrated services, authentication, monitoring, and backup.

Step 4. Connect data and test quality
Documents, knowledge bases, corporate systems, APIs, response scenarios, restrictions, and user roles.

Step 5. Deploy to production
Configure monitoring, access, backup, integration with business processes, and support.

Products for AI/ML

AI Studio

A ready-made environment where you can create your own applications with generative AI, test them, and safely connect them to business processes. The platform supports a low-code/no-code approach