3-5x
“processing speed improved by 2x while costs dropped by 3-5x”
As published on zilliz.com. Checked by usedby on Oct 17, 2026.
What happened
MiniMax uses Zilliz Cloud as a vector database to power real-time content recommendations for its Talkie consumer app, replacing a Redis-based setup. It also uses a MinHash + LSH engine within Zilliz Cloud to deduplicate large-scale LLM training data.
Summary written by usedby from the source page, in English. The figures are those of Zilliz and MiniMax, not ours.
- 5,000“even during traffic surges above 5,000 queries per second”
- 30 milliseconds“under 30 milliseconds”
Compared to their previous MapReduce systems, processing speed improved by 2x while costs dropped by 3-5x, making billion-document deduplication economically viable for routine operations.
What the story claims, and what we checked
What we compared with the page.
- The figure: 3-5xCheckedPrinted word for word on the page, near the name of MiniMax.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of MiniMax.
- MiniMax uses ZillizCheckedConfirmed line.
- The result itselfNot checkedWe quote it; we did not measure it.
More stories
Same company, same tool or same industry.
