~/talk

Enabling Efficient GPU Communication over Multiple NICs with FuseLink

Talkat OSDI '25 · 2025-07-07..07-09· [machine-learning, networking]
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name:Yuxuan Li
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name:Wenxue Li
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name:Yijun Sun
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name:Bowen Liu
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name:Han Tian
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name:Guyue Liu
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name:Kai Chen
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slides:none on file

FuseLink remaps GPU-side network buffers to relay traffic over high-speed intra-server fabrics (MVLink/MLink) so idle 400G RDMA NICs act as a merged “super NIC” without extra copies or re-registration. Implementation integrates into NCCL on NVIDIA hardware, performs remapping in about 100 microseconds, and uses per-chunk load balancing to avoid NIC contention. Measured peak inter-server bandwidth reaches 212GBps and yields 1.04–2.73× lower first-token latency, 1.3× MoE throughput, and 1.2× recommendation training speedups.

AI-written summary · about

  1. 0:00FuseLink and GPU communication
  2. 2:28Multi-NIC GPU challenges
  3. 6:05FuseLink design principles
  4. 8:13Technical challenges and hardware limits
  5. 10:06Decoupling GPU address and buffer
  6. 12:31NIC load balancing
  7. 13:37Implementation and test setup
  8. 14:42Performance results
  9. 16:08Future directions and Q&A
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