[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 very little makes 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: June 25, 2026 | 5 to 6 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 actually deliver outcomes.

The structure of the session reflects where the industry is heading. It will start with a short view of current AI trends, then move quickly into the DGX Spark stack and its capabilities. 

The audience is clearly defined. AI and ML engineers, developers, data scientists, architects, startup founders, and technology leaders who are already working with AI but are looking to move faster from prototype to production.

What attendees take away is equally concrete. A working understanding of DGX Spark, a view into how agentic systems are being built, and practical approaches to running and fine-tuning models locally. More importantly, they get a clearer picture of how to bridge the gap between building AI and shipping 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: June 25, 2026 | 5 to 6 PM

Click here to register