For AI agents to function effectively at the edge, they require structured and reliable context about the environments in ...

Distributed file systems have emerged as dynamic and scalable storage solutions. We explore the architectures of three distributed file systems: Google File System (GFS), Tectonic, and JuiceFS.

Existing distributed computing frameworks are failing to keep a lid on the growing computational, memory and even energy costs resulting from the constantly expanding volume Big Data for anything ...

AWS and Rice University have introduced Gemini, a new distributed training system to redefine failure recovery in large-scale deep learning models. According to the research paper, Gemini adopts a ...

The shift from request/response to event-driven Drawing again from our connection to event-driven microservices, traditionally, parts of a system interact through a request/response model.

HPC at the edge — bringing computing power closer to the data center — empowers real-time applications for generative AI software, AR/VR and more.