Tag
An opinion piece highlighting the thriving DGX Spark developer community that is collaboratively optimizing the hardware despite its limitations, with projects like Sparkrun and PrismaQuant.
LogosKG introduces a hardware-aligned framework for scalable, interpretable multi-hop retrieval on billion-edge knowledge graphs, integrating degree-aware partitioning and on-demand caching to boost efficiency without sacrificing fidelity.