DriveNets enhances its Network Cloud-AI platform with multi-tenancy and multi-site features for GPU clusters spanning up to ...

Additionally, both clusters have been built using Meta’s in-house open GPU hardware platform ... with the latest high-capacity E1.S SSD. Optimal network utilization was achieved via changes to network ...

Deploying artificial intelligence (AI) workloads that use graphics processing units (GPUs) in datacentres requires specific network hardware and optimisations.

It reportedly required 2.79 million GPU-hours for pretraining ... co-designed with the MoE gating algorithm and the network topology of our cluster. To be specific, in our cluster, cross-node ...

(We discussed these topology issues back in April 2022 when ... Wang put together showing the interplay of network cost and network power as the AI clusters are scaled: At a doubling of GPU count to ...

The nodes were all connected to each other in a two-tier Clos topology based on a 200 ... ongoing training of Llama 3 on our RoCE cluster) without any network bottlenecks.” The storage servers used ...

Such GPU accelerators ... The mesh network topology and the new communications algorithm enable users to determine an optimized data-exchange process and then connect the cluster to fit that ...