Bittensor Guru S2E13 Subnet 9 IOTA w/ Will and Steffen from Macrocosmos
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Dec 2, 2025 Will and Steffen discuss the innovative IOTA, a global distributed training cluster that empowers everyday users to mine with their existing hardware. They delve into the advantages of pipeline parallelism over data parallelism, explaining how it boosts efficiency while minimizing idle time. The team outlines IOTA's vision of creating a planet-scale training mesh, making large-scale AI training accessible. They also compare IOTA with other projects and explore its ambitious roadmap, aiming to democratize machine learning and transform data utilization.
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Planet-Scale Training From Everyday Hardware
- IOTA turns idle consumer hardware into a global, permissionless training cluster using pipeline parallelism.
- Macrocosmos designed orchestration to absorb heterogeneous compute while minimizing latency and bottlenecks.
Pipeline Parallelism Enables Tiny Shards
- Pipeline parallelism splits a large model into sequential stages so tiny consumer nodes host small shards.
- This lets very large models scale horizontally without requiring full-model replicas on each node.
Saturating The Pipeline Boosts Utilization
- IOTA saturates its pipeline with many in-flight micro-batches so nodes rarely idle and utilization rises.
- Interleaving communication and computation is key to approaching single-node performance over the open internet.