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Mount Diablo (Meta × Microsoft disaggregated power rack)¶
Mount Diablo is a disaggregated power rack being developed jointly by Meta and Microsoft and contributed to OCP. It features a scalable 400 VDC unit that enhances efficiency and scalability, and is designed to allow more AI accelerators per IT rack by moving power delivery off the IT rack itself.
Seen in¶
- sources/2024-10-15-meta-metas-open-ai-hardware-vision — "Our current collaboration focuses on Mount Diablo, a new disaggregated power rack. It's a cutting-edge solution featuring a scalable 400 VDC unit that enhances efficiency and scalability. This innovative design allows more AI accelerators per IT rack, significantly advancing AI infrastructure." (Microsoft Azure blog context)
Why it matters¶
- Disaggregation at the power layer. The same architectural stance Meta takes at the fabric layer with DSF — split vertically-integrated systems into open, independently-scalable components — applied to power delivery.
- 400 VDC reduces copper + loss at high rack kW. At ORv3-HPR power envelopes (up to 140 kW per rack), conventional 48 VDC requires heavy copper and incurs I²R losses. 400 VDC (roughly an order of magnitude higher) reduces current for the same power by the same factor, which reduces copper volume and thermal loss.
- Enables denser accelerator packaging per IT rack. By relocating the power subsystem to its own rack, the IT rack has more usable U-space for compute + switch + cooling manifold hardware.
- Canonical Meta × Microsoft OCP collaboration (2024). Follows the SAI (2018) and OAM lineage.
Related¶
- systems/orv3-rack — the ORv3 HPR IT-rack that Mount Diablo powers.
- systems/catalina-rack — Meta's Blackwell AI rack likely consuming Mount Diablo power.
- systems/ocp-sai — the 2018 foundational Meta × Microsoft OCP collaboration.
- concepts/400-vdc-rack-power — the voltage-class framing.
- concepts/rack-level-power-density — the binding constraint Mount Diablo helps relax.
- patterns/co-design-with-ocp-partners — the collaboration pattern.
- patterns/open-hardware-for-ai-scaling — the broader thesis.
- companies/meta.