Meta enlists tiny Korean startup to build 'one-chip-like datacenter' — CXL architecture introduced by…
- Meta wants nearly 1,000 AI GPUs operating inside one coherent data center domain
- Panmnesia's CXL design connects CPUs, accelerators, and memory across multiple racks
- The architecture increases accelerator coordination from two devices to sixteen per CPU
Meta is working with Panmnesia on an artificial intelligence data center design intended to make thousands of processors operate within one coherent environment.
The proposal uses Compute Express Link, or CXL, to connect CPUs, accelerators and memory across multiple racks without conventional network links.
The architecture could bring as many as 960 AI accelerators into one coherence domain, putting its capacity at almost 1,000 GPUs working as one system.
CXL architecture extends accelerator connectivity
The design addresses a problem that becomes increasingly difficult as AI training systems combine hundreds or thousands of accelerators processing enormous data.
Every accelerator must progress through repeated computational stages, meaning one delayed component can force other devices to...
Copyright of this story solely belongs to www.techradar.com. To see the full text click HERE
