Zilliz Cloud: AI Firms Achieve Sub-10ms Latency and Lower Costs

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8c973782130fa8a7a3e9d3178e1daef1 1 Zilliz Cloud Delivers Sub-10ms Latency and Cost Savings for AI-First Companies

AI innovators are reporting improved speeds, enhanced reliability, and reduced infrastructure expenses by transitioning to Zilliz’s fully managed vector database solution.

REDWOOD CITY, Calif., May 12, 2025 — , the company behind the world’s most popular open-source vector database , revealed today how companies prioritizing AI across various sectors are achieving quicker, more dependable user experiences by utilizing . These companies, spanning areas like conversational AI, healthcare analytics, music creation, education, and AI companions, are achieving unprecedented performance using infrastructure specifically designed for vector search.

According to Chris Churilo, VP of Developer Relations and Marketing at Zilliz, “Infrastructure is critical as AI applications grow to accommodate millions of users. Our clients consistently report latency under 10ms and fewer service interruptions after switching to Zilliz Cloud, all while maintaining low costs that allow them to reinvest in innovation rather than infrastructure.”

Real-World Results from AI-First Companies

Organizations that have implemented Zilliz Cloud are seeing significant performance gains that are directly benefiting their AI applications:

CX Genie: AI Chatbots Benefit from 2x Faster Queries and 24/7 Reliability

CX Genie, based in Singapore, experienced a doubling of query performance after moving to Zilliz Cloud, achieving latency of just 5–10ms across more than 1 million embeddings. The team eliminated frequent downtimes and improved overall service reliability, which is crucial for its always-available AI-driven customer support.

  • Latency: Improved by 2x, now at 5–10ms
  • Uptime: No downtime on a daily basis
  • Costs: Infrastructure cost reduction of 70%

Beatoven.ai: Accelerated AI Music Generation at Scale

Beatoven.ai, an AI music platform, reduced music generation time by 2–3 seconds per track after integrating Zilliz Cloud, enhancing creative processes for its over 1.5 million users.

  • Tracks: Over 6 million generated by AI
  • Speed: Music creation is 2–3 seconds faster
  • Costs: Operational expenses reduced by 6x

Ivy.ai: Seamless Scaling for AI in Education

Ivy.ai provides AI chatbots for universities and government organizations. Even with a 200% increase in data volume, Zilliz Cloud allowed them to keep response times consistent without any interruptions.

  • Data growth: +200%
  • Reliability: Zero service interruptions
  • Consistency: Stable response times even with scaling

Dopple.ai: Smarter AI Companions with Better Context Recall

Dopple Labs utilizes Zilliz Cloud for storing and accessing long-term memory embeddings for its AI companion, Dopple.ai. By improving context awareness in conversations, Dopple now provides more realistic and personalized interactions.

  • Context: Enhanced memory retention across sessions
  • Interactions: More personalized and natural conversations

EviMed: Improved Accuracy for Medical AI

EviMed, a medical AI platform, implemented Zilliz Cloud to handle over 350 million medical data entries. They achieved higher search accuracy and quicker responses while lowering system costs.

  • Accuracy: Clinical search precision increased by +10%
  • Speed: Responses are +8% faster
  • Efficiency: Operational costs reduced by 30%

Infrastructure That Accelerates AI Innovation

With vector search becoming essential for LLMs, AI pipelines, and various applications, database performance is emerging as a significant competitive advantage.

Churilo added, “Milliseconds saved in vector query time directly result in more responsive and dependable AI. Furthermore, with lower operational overhead, our customers can concentrate on development rather than troubleshooting.”

The results from Zilliz Cloud users indicate that database infrastructure is no longer just a backend component, but a crucial factor in AI performance, reliability, and cost-effectiveness. As vector embeddings become central to AI processes, organizations are choosing specialized infrastructure such as Zilliz Cloud to support real-time applications at scale. The capability to deliver latency below 10ms, minimize interruptions, and decrease operational costs gives AI teams a considerable advantage in a competitive market.

Organizations looking to improve the performance and reliability of their AI applications can find more information about Zilliz Cloud at or .

About Zilliz

Zilliz is an American SaaS company focused on building advanced vector database technologies. It helps organizations leverage the potential of unstructured data and accelerate the development of AI and machine learning applications. By making complex data infrastructure simpler, Zilliz makes AI accessible to enterprises, teams, and individual developers. Zilliz offers a fully managed, multi-cloud vector database service that’s powered by open-source Milvus, supports major cloud platforms like , GCP, and Azure, and is available in over 20 countries and regions.

Based in Redwood Shores, California, Zilliz is supported by prominent investors, including Aramco’s Prosperity7 Ventures, Temasek’s Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.

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