analiza aiqbench

Cornelis and Delos Data are developing open-source networking solutions designed to bypass proprietary constraints like Nvidia's NVLink, aiming to facilitate broader cluster scaling for large language models. This development addresses a critical bottleneck in distributed training by promoting interoperability and reducing vendor lock-in within high-performance AI infrastructure. The shift toward open alternatives could significantly impact the economics of training next-generation models by enabling more flexible hardware configurations.