Tag
Promotes Codex CLI, a tool that automatically infers the right inference engine and optimizes performance for local AI on given hardware.
General Instinct launches a deployment layer that enables frontier AI models to run on constrained edge hardware like Jetsons and mobile NPUs, helping robotics and physical AI teams achieve low-latency offline inference.
This article provides a detailed comparison of the features and application scenarios of mainstream local large model file formats such as GGUF, MLX, and Safetensors, helping developers choose the optimal format based on their hardware environment.
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.