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Deploy a multi-agent chatbot system and chat with agents on your Spark Extract triples with Ollama or vLLM, store them in a graph database, and explore them in a GPU-accelerated web UI Set up a cluster of DGX Spark devices that are connected through Switch Connect and set up three DGX Spark devices in a ring topology Connect two Spark devices and setup them up for inference and fine-tuning Install and use NVIDIA cuML and NVIDIA cuDF to accelerate UMAP, HDBSCAN, pandas and more with zero code changes30 MINCUDA-X Data Science
Build Isaac Sim and Isaac Lab from source for Spark Cut memory ~3.5× vs FP16 while keeping accuracy close to FP8, then validate with an OpenAI-compatible endpointIntermediate60 MINQuantize Models to NVFP4 with NVIDIA Model Optimizer
Chat from the terminal against local vLLM with the self-improving Nous Research agent (Telegram optional) GPU-accelerated text-to-image generation with diffusion modelsIntermediate60 MINRun Multi-Modal Inference with TensorRT
Isolate OpenClaw with kernel-level policies and route inference to a local model High-throughput serving with RadixAttention, structured output, and an OpenAI-compatible API30 MINServe LLMs with SGLang
High-throughput serving for 30+ models, with continuous batching and an OpenAI-compatible APIIntermediate30 MINServe LLMs with vLLM
Use DGX Spark as a local or remote Vibe Coding assistant with Ollama and Continue30 MINVibe Coding in VS Code
Fine-tune Vision-Language Models for image and video understanding tasks using Qwen2.5-VL and InternVL3 Ready-to-run application examples for your NemoClaw sandbox — policy, prompt, and personalization for each workflow
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