NVIDIA DGX Station features tiered 748GB memory
NVIDIA's DGX Station deskside AI supercomputer features a tiered 748GB coherent memory pool split between high-speed HBM3e and LPDDR5X. Powered by the GB300 Grace Blackwell Ultra Desktop Superchip, the system is designed to run local models with up to one trillion parameters.
While executing trillion-parameter models on a deskside workstation is a massive leap forward for data sovereignty, the performance of the tiered memory design will heavily depend on software optimization for HBM3e and LPDDR5X caching. The 748GB coherent memory pool allows developers to work on frontier models locally without the need for cloud clusters. However, splitting the memory pool introduces variable latencies, meaning not all 748GB will perform at peak HBM3e speeds. Ultimately, this architecture lowers the barrier to entry for enterprise AI prototyping while maintaining control over proprietary data.
DISCOVERED
1d ago
2026-07-07
PUBLISHED
1d ago
2026-07-07
RELEVANCE
AUTHOR
DIY Smart Code
