NVIDIA DGX Spark: Sovereign AI on Your Desktop
By Sivam
Discover how NVIDIA DGX Spark brings sovereign AI to your desktop. Learn to run LLMs locally and privately with RP Tech’s webinar. Explore Sarvam 30B & Param-2-17B.
Running large language models has long required cloud infrastructure, substantial compute budgets, and reliance on external platforms, but that is evolving.
RP Tech, an NVIDIA partner, is hosting a live webinar in partnership with YourStory titled ‘Running Sovereign LLMs on NVIDIA DGX Spark’ to illustrate this shift. The hands-on session aims to demonstrate to developers, researchers, and engineers how to run powerful sovereign AI models locally and privately, without cloud dependency.
Megh Makwana, Manager of Applied GenAI Solution Engineering at NVIDIA, will lead the session. Makwana specializes in foundational model building, large-scale GPU workload optimization, and assisting cloud service providers in building AI platforms using NVIDIA AI Enterprise. The live virtual webinar will take place on Friday, April 17, from 3:00 to 4:30 PM.
The webinar will focus on running sovereign LLMs directly on NVIDIA DGX Spark, a personal AI supercomputer delivering enterprise-grade AI performance in a compact, desktop form factor. Attendees will witness live demonstrations of Sarvam 30B and Param-2-17B, two sovereign language models, operating locally on NVIDIA DGX Spark and powering a real chat application, without cloud or external dependencies.
The session will begin with an introduction to NVIDIA DGX Spark, covering its hardware, the NVIDIA AI software stack, and the increasing viability of local AI development for production workflows, followed by a hands-on demonstration.
Attendees will learn to optimize inference for sovereign LLMs using low-precision formats like FP8 and NVFP4, deploy models on NVIDIA DGX Spark using open-source frameworks like SGLang, vLLM, and TensorRT-LLM, and build a personal AI assistant powered by these models directly on the machine.
The session targets developers, researchers, engineers, and architects working with large models or exploring edge AI workloads. Familiarity with Python, Docker, and frameworks like SGLang, vLLM, or TensorRT-LLM is recommended.
NVIDIA DGX Spark is redefining desktop AI capabilities. The webinar offers a firsthand look, guided by an NVIDIA solution engineering leader.
Register now to secure your spot.