Astana time
AI QAZAQSTANKZ · AIBeta

Smart portal about artificial intelligence and high technology in Kazakhstan

Infrastructure1 min read

From the original source:

YouTube — PyTorch Official

Read full article at YouTube — PyTorch Official

This material was compiled from public sources. If its publication affects your rights → Request removal

MoRI + vLLM: Wide Expert Parallelism and RDMA KV-Cache Transfer for Disaggregated MoE Serving on AMD

Running large Mixture-of-Experts models across pods creates two major challenges: expert dispatch and combine traffic, and moving the KV cache between prefill and decode. At North America 2026, Ravi Gupta, Rishi Madduri, and Shiksha Patel of AMD will present “MoRI + vLLM: Wide…

YouTube — PyTorch OfficialBy: PyTorchOctober 14, 2026 (6 days ago)
Available in 1 languages

AI Summary & Key Takeaways

  • Running large Mixture-of-Experts models across pods creates two major challenges: expert dispatch and combine traffic, and moving the KV cache between prefill and decode
  • At North America 2026, Ravi Gupta, Rishi Madduri, and Shiksha Patel of AMD will present “MoRI + vLLM: Wide…
Share:

Related stories

Back to list