arXiv (All)
open access
MCCL: Training Pytorch models across a fleet of Macs at Skywalker Sound
Skywalker Sound, a premier audio post-production facility, operates more than 200 M4 Max Mac Studios on a 10Gb Ethernet network. When not in use by artists, these machines sit idle, representing massive untapped unified memory and compute capacity. While these fleets are excellent candidates for dis
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- MCCL: Training Pytorch models across a fleet of Macs at Skywalker Sound#1482968
- CART: Compatible Routing for Multimodal Continual Instruction Tuning#1357792
- Computers in Astronomy: Astronomy on an Apple Macintosh.#333260
- The distributed computer control system for the CERN low energy antiproton ring (LEAR)#303974
- Programmable acoustic single cell manipulation with model-free machine learning#419953
Record · ID 1490099
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive