Project Orion says Orion-16B kept training despite losing over half its nodes
bittingthembits · x · 2026-07-30
Macrocosmos and IOTA SN9 are highlighting Project Orion’s resilience: during an Orion-16B training run, more than 50% of the nodes reportedly dropped, yet training kept progressing.
The post argues that decentralized training does not require perfectly reliable compute. Instead, it only needs a system that can make unreliable GPUs reliable in aggregate. If that works at scale, the cost of training could fall sharply and open-model training would no longer depend on a single massive datacenter.
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