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A self-hosted browser interface with models running locally on your GPUBeginner15 MINChat with LLMs Using Open WebUI and Ollama
Run cuTile kernel benchmarks, FMHA implementation, and LLM inference on DGX Spark and B30060 MINcuTile Kernels
Prebuilt, GPU-optimized model containers with a ready-to-use HTTP endpointIntermediate30 MINDeploy NVIDIA NIM for LLM Inference
Route independent local AI requests across paired systems using llama.cpp, Ollama, or LM StudioIntermediate10 MINInstall and Use NVIDIA PAIR with llama.cpp
Deploy LM Studio and serve LLMs on a Spark device; use LM Link to access models remotely.30 MINLM Studio on DGX Spark
Deploy Nemotron 3 model family (Nemotron-3-Nano or Nemotron-3-Super) on DGX 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
Choose a model and spin it up locally on your NVIDIA deviceAdvanced60 MINRun LLMs on Your NVIDIA Device
Chat, agents, coding, and document Q&A with Ollama, LM Studio, and AnythingLLM on your hardwareBeginner6 MINRun Local LLMs
GPU-accelerated text-to-image generation with diffusion modelsIntermediate60 MINRun Multi-Modal Inference with TensorRT
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
Efficient inference for any GGUF model with minimal dependenciesIntermediate30 MINServe Models with llama.cpp
A webcam-based testbed for comparing VLMs across backendsIntermediate30 MINStream Real-Time Video to a Vision Language Model
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