Produced by FMC
In association with NVIDIA
Sponsored by DELL Technologies

Introduction to NVIDIA’s RTX Kit

Media & Entertainment

Length of Workshop: 1 hour

Price: $449

This workshop introduces media and entertainment organizations to NVIDIA’s RTX Kit as a production-grade backend technology stack designed to accelerate modern production and post-production workflows.

Focusing on the performance-enhancing features, the session provides a structured understanding of Nvidia’s RTX Kit core capabilities—advanced GPU acceleration, AI-assisted compute, and accelerated rendering optimization that can be integrated into your existing pipelines across immersive productions, 3D modeling, real-time virtual engines, and the latest production and post workflows. Participants will gain clarity on where RTX Kit delivers tangible efficiency, quality, and scalability gains at an organizational level.

The emphasis is on how RTX Kit functions as infrastructure, enabling faster rendering, smarter content processing, and enhanced creative flexibility without requiring wholesale changes to existing tools or teams.

April 1 - Register Now
What's Included
  • Overview of RTX Kit architecture and its role within M&E production pipelines
  • Simplifying bounding hierarchy processing to accelerate rendering of complex 3D models
  • GPU-accelerated rendering for 3D composting and post-production workflows
  • Practical examples of RTX acceleration within color, finishing, and rendering tools you already use. 
  • Enabling AI-assisted visual search, content analysis, and intelligent processing 
  • Integration considerations for productions utilizing realtime engines or virtual environments
  • Organizational adoption considerations
Target Audience
  • Heads of Post-Production, Engineering, and Technology
  • CTOs and technical decision-makers in media organizations
  • VFX, 3D, animation, and realtime pipeline leads 
  • Innovation, AI, and workflow optimization teams evaluating RTX as a backend platform
Software Used
  • RTX Kit
  • Python
  • GitHub
Technical Requirements

Computer Hardware:
A modern computer (laptop or desktop) with 16GB RAM and an 8GB VRAM graphics card.

Operating System:
A recent version of Windows (10 or later) or macOS (Sequoia or later).

Internet Connection:
A stable and high-speed internet connection for using cloud-based AI tools.

Storage Space:
At least 20GB free for installing software and storing workshop materials and projects.

Miscellaneous:
Access to specific websites and platforms that might be used for downloading tools or resources, ensuring participants can bypass any potential access restrictions (like firewalls).