Use cases

NVIDIA RTX Spark: decision models + local/cloud HydraFusion for coding agents

NVIDIA (Oct 16) details RTX Spark as a single-machine coding-agent workstation: decision models in llama.cpp/Unsloth choose next actions up to ~200x faster than long reasoning loops; HydraFusion prompt router escalates only when local models aren’t enough; GitHub Copilot gains Windows ML + llama.cpp local backend; Junie Local and Pi optimized. Pair with open Nemotron Bolt 74B-A9B 24GB for on-device agents via Ollama/vLLM/LM Studio.