[Webinar Alert] GenAI at Your Desk – Building Agentic AI with NVIDIA DGX Spark

Enterprise AI has a deployment problem. Models get built, pilots get announced, but they hardly make it into production. The gap is no longer about access to models or talent. It is about execution.

That shift is now pushing AI closer to where developers actually work.

Rashi Peripherals, an NVIDIA partner, is hosting a session titled “GenAI at Your Desk: Building Agentic AI with NVIDIA DGX Spark”, focused on what it takes to move from experimentation to real-world AI systems.

Date & Time: July 23, 2026 | 5:00 PM – 6:00 PM

Register here – Limited slots available.

At the centre of this conversation is NVIDIA DGX Spark™, positioned as a personal AI supercomputer that brings high-performance AI capabilities directly to the desktop. The idea is straightforward. Instead of relying entirely on cloud pipelines, developers can now run large language models locally, build agentic workflows, and fine-tune systems closer to their data and use cases.

This is not just a hardware story. It is an architectural shift.

The session will be led by Amit Kumar, an AI leader at NVIDIA with experience across Google, HP Labs, VMware, and EFI. His work spans research, engineering, and enterprise strategy, with a focus on scaling AI systems that deliver real business outcomes.

The structure of the session reflects where the industry is heading. It begins with an overview of current AI trends before diving into the DGX Spark stack and its capabilities.

The audience includes AI and ML engineers, developers, data scientists, architects, startup founders, and technology leaders who are already building AI applications and want to accelerate the journey from prototype to production.

Attendees will gain a practical understanding of DGX Spark, learn how agentic AI systems are being built, and explore approaches for running and fine-tuning models locally. More importantly, they will carry forward a clearer understanding of how to bridge the gap between building AI and successfully deploying it.

What You Will Learn

• Understanding NVIDIA DGX Spark and its capabilities
• Building agentic AI systems using NVIDIA's ecosystem
• Running and fine-tuning LLMs locally
• Designing and optimising GenAI workflows
• Best practices for moving from prototype to production
• Real-world AI use cases and deployment approaches

Session Highlights

• AI trends and industry direction
• DGX Spark architecture and capabilities
• Agentic AI with NemoClaw, OpenShell, and Nemotron models
• Local inference and fine-tuning workflows
• Live demos and practical use cases
• Interactive Q&A

Learn More

Date & Time: July 23, 2026 | 5:00 PM – 6:00 PM

Click here to register.