{"data":{"slug":"infiniband","etype":"tech","name":"InfiniBand","cat":"Networking","subtitle":"The low-latency training fabric NVIDIA acquired with Mellanox.","summary":"InfiniBand's RDMA transport, in-network reduction (SHARP) and lossless design made it the default scale-out network for big training clusters — Microsoft's OpenAI systems and thousands of others run Quantum-2 400 Gb/s fabrics, with 800 Gb/s Quantum-X families following. Its share is now contested by AI-tuned Ethernet, which costs less and has a broader vendor base.","attrs":null,"kf":null,"aliases":["IB","Quantum-2","Quantum-X800"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://www.nvidia.com/en-us/networking/","label":"NVIDIA networking"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T02:37:39+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}