#4270 MSI DGX Spark
#4270 MSI DGX Spark #4270 Describe performance of Granite-4-h-small on a desktop RTX 5090 The Granite-4.0-H-Small model on an RTX 5090 represents one of the most efficient "powerhouse" setups for local AI in 2026. Because Granite 4.0 uses a hybrid architecture (Mamba-2 + Transformer) and a Mixture-of-Experts (MoE) design, it punches significantly above its weight on consumer hardware. ## Performance Overview The RTX 5090's 32GB of GDDR7 memory and massive bandwidth (1.79 TB/s) perfectly complement Granite's hybrid architecture, which is designed to minimize VRAM usage and maximize throughput. Metric Estimated Performance (RTX 5090) Inference Speed ~60–80+ tokens/sec (4-bit/Q4_K_M quantization) VRAM Usage ~18–22 GB (leaving room for 128k+ context) Context Handling Extremely low "context rot" and speed degradation due to Mamba-2. Throughput Capable of handling massive batches (~5,000+ total t/s in parallel). ### 1. Architectural Synergy Active vs. Total P...