<- Go back

Deploy LLMs for Internal Use Workshop

Large Language Models are transforming industries, but deploying them efficiently and securely remains a challenge. Many teams struggle with high costs, data privacy concerns, and limited control when relying on third-party APIs. This workshop provides a hands-on approach to deploying LLMs within your own infrastructure, ensuring cost efficiency, security, and full customization.

Unlock the full potential of LLMs on your infrastructure

Who is this for?

This hands-on workshop is tailored for organizations ready to take the next step with LLM technology:

  • You've identified specific LLM use cases with proven business value

  • You need to reduce the escalating costs of external AI APIs

  • Your data is sensitive, regulated, or cannot leave your infrastructure

  • You require greater customization than third-party services allow

  • You're building production-ready AI capabilities, not just prototypes

Ideal participants include technical teams led by Heads of AI, engineering managers, ML engineers, and DevOps professionals who have basic familiarity with containerization, APIs, and infrastructure management.

No prior experience with LLM deployment is required - we'll guide you through the entire process from setup to optimization.

Challenges companies face


High costs
Relying on external API calls for LLM services can quickly become expensive, especially as usage scales. Companies often face unpredictable costs and long-term financial burdens.

Data privacy and security concerns
Sending sensitive or proprietary data to third-party services poses significant risks, including potential data exposure and non-compliance with privacy regulations.

Limited control and customization
External API services often restrict customization, limiting organizations' ability to tailor LLM behavior and optimize performance for their specific use cases.

Our solution


We provide a streamlined, efficient, and scalable approach to deploying LLMs on your own infrastructure.

Our solution supports:

Single GPU or Multi-GPU inference - optimized for both small and large-scale deployments.

On-premise or European cloud hosting - ensuring compliance with data regulations.

Flexible interfaces - REST API and web-based interface for seamless integration.

Token usage monitoring - keep track of resource consumption and optimize performance.

Technologies we cover


Deploying LLMs effectively requires the right set of tools and frameworks.

In this workshop, we will cover:

DeepSpeed & vLLM – for efficient model inference and optimization.

NVIDIA Triton Inference Server – high-performance inference serving.

FastAPI & Streamlit – build lightweight, responsive interfaces.

Open WebUI – interactive model management.

Prometheus & Grafana – real-time monitoring and analytics.

Benefits to your organization


Cost efficiency
Reduce dependency on expensive third-party APIs and optimize infrastructure for scalable, predictable costs.

Enhanced data privacy & security
Keep sensitive data within your organization's controlled environment, ensuring compliance with privacy regulations and maintaining user trust.

Greater control & customization
Deploy, manage, and fine-tune LLMs to align with your specific business needs, improving flexibility and efficiency.

Join the workshop!


If you are interested in learning how to effectively deploy and manage LLMs within your organization, contact us to register and reserve your spot. Or reach out and discuss options for a private workshop just for your team!