A next-generation AI inference hardware architecture that eliminates sharding. 64TB of contiguous memory for 10T+ parameter models.
Moving from a "committee of fragments" to a single holistic mind.
Fairchild Labs achieves 100% bandwidth efficiency during weight streaming.
No NVLink gossip. No inter-GPU latency. One memory space holds the entire model for massive reasoning depth.
Scaling from 2TB to 64TB on a single node, future-proofing your infrastructure for the 10T parameter era.
We are currently partnering with Tier-1 hyperscalers and GPU providers for the Fairchild Labs Reference Design launch.