SOLD OUT

NVIDIA PRESENTS: HOW TO BUILD YOUR OWN CO-PILOTS, CHATBOTS AND AI ASSISTANTS WITH NVIDIA NIMS

Learn how to securely self-host large language models (LLMs) in your managed environment using NVIDIA NIMS. This event will guide you through the process of deploying and managing LLMs efficiently while ensuring data security and control. We will cover best practices for configuring NVIDIA's infrastructure, optimizing performance, and maintaining a secure setup. Whether you're looking to scale AI capabilities or safeguard sensitive information, this session provides the technical insights needed to successfully implement LLMs in your own infrastructure. Perfect for IT professionals, AI engineers, and anyone interested in leveraging NVIDIA’s advanced AI tools securely.

30 Oct
18:00
Barbican Conservatory Silk St, London EC2Y 8DS

Event highlights

NETWORKING DRINKS - LIGHTNING TALKS - AI EXPERTS

Join Deeper Insights' AI specialists for an evening focused on securely self-hosting large language models (LLMs) using NVIDIA NIMS. This event will highlight interactive discussions with our AI engineers, partners, and clients, offering insights into deploying and managing LLMs in your own environment. The dialogue will explore key considerations like data security, performance optimization, and the benefits of maintaining control over your AI infrastructure. Ideal for those looking to harness the power of LLMs, this session covers the practical applications, challenges, and operational strategies for integrating NVIDIA NIMS into your AI solutions.

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SHORT TALKS

NVIDIA experts will provide an overview of AI inference, covering how companies choose between managed AI Services and do-it-yourself deployment. As a bridge between both worlds, NVIDIA NIM helps overcome the challenges of building AI applications, providing developers with industry-standard APIs for building powerful copilots, chatbots, and AI assistants — while making it easy for IT and DevOps teams to self-host AI models in their own managed environments. Built on robust foundations, including inference engines like TensorRT, TensorRT-LLM, and PyTorch, NIM is engineered to facilitate seamless AI inferencing at scale.

The NVIDIA team will discuss real-world examples of deployed agents and co-pilots powered by NVIDIA NIMS and key best practices for ensuring reliability, scalability, and high-quality user experience.

Our previous attendees include senior executives from:

EVENING AGENDA

18:00 - 19:00 Networking drinks and canapes

19:00 - 19:20 Welcome from Deeper Insights CEO Jack Hampson

19:20 - 20:30 NVIDIA Expert Talks

20:30 - 22:00 Networking and dessert

Sonam Lama
Sonam Lama

Sonam is a Senior Solution Architect for NVIDIA

Sergio Perez, PhD
Sergio Perez, PhD

Sergio is a Solutions Architect in Conversational AI at NVIDIA

Jack Hampson
Jack Hampson

CEO and Founder of Deeper Insights, specializes in solving impossible problems with AI

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Who should attend?

  • Senior Corporate Stakeholders
  • Innovation and Strategy Heads and Technology leads
  • Product leads
  • Any executive from a heavily regulated industry who is interested in this disruptive new technology

What you'll learn

  • Discover how AI is reshaping healthcare robotics
  • Understand how to navigate AI's complex legal and operational challenges in healthcare
  • See how AI is revolutionising new industries
  • How to get started in building your own proprietary AI and robotics solutions that comply with new AI laws

The venue

The Barbican Conservatory

Step into a lush, hidden oasis under a glass ceiling, filled with green plants, birds, and colourful fish, right in the heart of London.

Date:

30 October 18:00 - 22:00

Location:

Barbican Conservatory

Silk St, London EC2Y 8DS

The nearest train stations:

The Moorgate Station

  • Train serves: Circle, Hammersmith, Metropolitan Lines, and National Rail

The Barbican Station

  • Train serves: Circle, Hammersmith, Metropolitan Lines

30 Oct
18:00
-
22:00
to
30 Oct
22:00

Deeper Insights extends its gratitude to the event sponsors, Nvidia the world leaders in artificial intelligence computing.

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NIMS-2024
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