The file system is what divides the big data files, and the programming model divides an algorithm into pieces, which can then run on the data blocks in a distributed fashion.

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

PALO ALTO, Calif., Aug. 04, 2025 (GLOBE NEWSWIRE) -- Broadcom Inc. (AVGO), a global leader in semiconductor and infrastructure software solutions, today announced it is now shipping the Jericho4 ...

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 ...

Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.

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

Genetically engineered bacteria, rigged up as a distributed computing system, might help realize synthetic biology’s loftier goals.

With the future of AI built on distributed computing across data centers, Jericho4 strikes a crucial balance between these elements.