Latest news with #CharlesXie
Korea Herald
3 days ago
- Business
- Korea Herald
Zilliz Cloud Expands Global Footprint with New Azure Region in Central India
New region empowers customers to meet data sovereignty, regulatory, low-latency, and cost-efficiency goals when building AI applications. REDWOOD SHORES, Calif., July 14, 2025 /PRNewswire/ -- Zilliz, the company behind the most popular open-source vector database Milvus, today announced the availability of a new Zilliz Cloud region in Azure Central India, further expanding its global infrastructure. This new region enables customers—from fast-moving startups to global enterprises—to build and scale AI applications while ensuring data locality, regulatory compliance, low-latency performance, and lower cloud costs. With data residency becoming a critical requirement for many businesses operating in India and nearby markets, the new Azure Central India region provides developers with greater control over where their data lives, without compromising on performance or budget. "Developers rely on Zilliz Cloud every day to build and scale AI applications more quickly, efficiently, and cost-effectively," said Charles Xie, CEO at Zilliz. "By adding a new region in India, we're helping customers reduce cross-border data transfer costs and latency, while also simplifying compliance with local regulations. It's a win-win for both innovation and infrastructure spend." Global Infrastructure with Local Performance Zilliz Cloud now operates across 26 cloud regions globally, making it one of the most geographically distributed vector database platforms available. The Central India region joins key international deployments across AWS, Google Cloud Platform (GCP), and Microsoft Azure in North America, Europe, and Asia-Pacific. Key international regions include: This expansion makes it simple for organizations to optimize for latency, locality, and cost, all while scaling to support billions of vector embeddings and the most demanding GenAI workloads. With auto-scaling, usage-based pricing, and deployment flexibility across providers, Zilliz Cloud helps teams reduce operational overhead and focus on building AI features that deliver value. Companies like Sarvam, a leading AI startup building multilingual models in India, exemplify the demanding performance requirements driving this expansion."We needed a system that could handle real-time retrieval over millions of knowledge vectors without breaking under load," said Dr. Pratyush Kumar, Co-Founder of Sarvam. "Zilliz gave us that. It freed up engineering cycles and let us focus on improving reasoning on the model side, not managing infrastructure." Now Available to All The Azure Central India region is now live and available to all Zilliz Cloud customers. Organizations can immediately begin deploying clusters in the new region through the Zilliz Cloud console. For more information about this new region, check out this launch blog or connect with our technical team for help. About Zilliz Zilliz builds next-generation database technologies that help organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.
Cision Canada
15-06-2025
- Business
- Cision Canada
Zilliz Transforms Video Surveillance Industry with AI-Powered Vector Database Solutions
Leading surveillance providers leverage Zilliz Cloud to overcome data overload challenges, enabling real-time threat detection and sub-second video search across enterprise installations. REDWOOD SHORES, Calif., June 15, 2025 /CNW/ -- Zilliz, creator of the world's most widely adopted open-source vector database, Milvus, today announced significant adoption of its vector database solutions by video surveillance providers addressing critical industry challenges. As the global video surveillance market, valued at over $62 billion and growing rapidly, evolves from passive monitoring tools to intelligent, proactive security solutions, organizations using Zilliz Cloud and Milvus report breakthrough capabilities in overcoming data overload, eliminating manual monitoring inefficiencies, and achieving real-time threat detection. Traditional video surveillance systems struggle with data overload from underutilized footage, time-consuming manual monitoring processes, and data silos that prevent cross-domain intelligence integration. Surveillance platforms implementing Zilliz Cloud vector databases are solving these persistent challenges by transforming vast amounts of video data into actionable intelligence through vector embeddings that represent visual context and meaning. "The video surveillance industry is undergoing a massive transformation from reactive monitoring to proactive intelligence," said Charles Xie, CEO of Zilliz. "Traditional surveillance systems create bottlenecks with manual processes prone to human error and data overload that limits effectiveness. Our customers are building AI-native security solutions that can process vast amounts of visual data in real-time, detect anomalies instantly, and provide actionable insights that were previously impossible to achieve." Major Surveillance Platforms Report Breakthrough Performance Leading cloud-based surveillance providers report transformative results after transitioning from traditional databases to Zilliz Cloud's vector search technology. A major multi-tenant surveillance platform serving businesses from retailers with thousands of locations to small enterprises managing just a few sites achieved significant improvements in video retrieval performance. The platform now delivers sub-second search capabilities across months of footage using natural language queries such as "person in red jacket near loading dock" or "vehicle parked longer than 30 minutes." "Vector databases have solved the fundamental challenge of extracting meaningful insights from massive video datasets," said a technology executive at the surveillance provider. "We can now provide our customers with instant, accurate search results that would have taken hours of manual review with traditional systems." Organizations implementing these AI-powered capabilities report security teams can now detect threats and respond up to 50% faster than traditional monitoring methods, while automated anomaly detection significantly reduces false positives and operational costs by eliminating extensive manual monitoring requirements. Enterprise customers across retail operations, industrial safety, transportation infrastructure, and smart city initiatives are deploying these capabilities to achieve advanced loss prevention, automated safety monitoring, passenger flow analysis, and privacy-compliant public safety tracking. Zilliz Cloud Delivers Enterprise-Scale Performance Zilliz Cloud's distributed architecture addresses enterprise-scale video processing demands through several key capabilities. The platform processes billions of video vectors with sub-100ms latency while auto-scaling to accommodate traffic spikes and varying workloads. Built-in security, encryption, and compliance features protect sensitive video data, while multi-tenant support enables surveillance providers to serve diverse customer bases efficiently. The vector database approach converts video footage into high-dimensional mathematical representations, enabling sophisticated AI analysis and semantic understanding that supports both real-time monitoring and forensic investigation. This technology eliminates traditional surveillance limitations by breaking down data silos and integrating video insights with other operational systems. Industry Adoption Accelerates with Responsible AI Focus As AI becomes more embedded in surveillance systems, Zilliz emphasizes responsible development practices aligned with privacy regulations such as GDPR. This US-based company's solutions maintain transparency and security standards while designing AI enhancement to augment human capabilities rather than replace security professionals, enabling teams to focus on complex decision-making while automation handles routine monitoring tasks. The integration of AI and vector databases positions surveillance systems for continued evolution, including edge computing implementations, AI-powered video summarization, and autonomous surveillance capabilities that will further improve security operations while reducing operational costs. Organizations implementing AI-powered video surveillance can learn more about Zilliz Cloud at or contact sales for deployment consultations. About Zilliz Zilliz is a US-based global leader building next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, United States, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.
Associated Press
15-06-2025
- Business
- Associated Press
Zilliz Transforms Video Surveillance Industry with AI-Powered Vector Database Solutions
Leading surveillance providers leverage Zilliz Cloud to overcome data overload challenges, enabling real-time threat detection and sub-second video search across enterprise installations. REDWOOD SHORES, Calif., June 15, 2025 /PRNewswire/ -- Zilliz, creator of the world's most widely adopted open-source vector database, Milvus, today announced significant adoption of its vector database solutions by video surveillance providers addressing critical industry challenges. As the global video surveillance market, valued at over $62 billion and growing rapidly, evolves from passive monitoring tools to intelligent, proactive security solutions, organizations using Zilliz Cloud and Milvus report breakthrough capabilities in overcoming data overload, eliminating manual monitoring inefficiencies, and achieving real-time threat detection. Traditional video surveillance systems struggle with data overload from underutilized footage, time-consuming manual monitoring processes, and data silos that prevent cross-domain intelligence integration. Surveillance platforms implementing Zilliz Cloud vector databases are solving these persistent challenges by transforming vast amounts of video data into actionable intelligence through vector embeddings that represent visual context and meaning. 'The video surveillance industry is undergoing a massive transformation from reactive monitoring to proactive intelligence,' said Charles Xie, CEO of Zilliz. 'Traditional surveillance systems create bottlenecks with manual processes prone to human error and data overload that limits effectiveness. Our customers are building AI-native security solutions that can process vast amounts of visual data in real-time, detect anomalies instantly, and provide actionable insights that were previously impossible to achieve.' Major Surveillance Platforms Report Breakthrough Performance Leading cloud-based surveillance providers report transformative results after transitioning from traditional databases to Zilliz Cloud's vector search technology. A major multi-tenant surveillance platform serving businesses from retailers with thousands of locations to small enterprises managing just a few sites achieved significant improvements in video retrieval performance. The platform now delivers sub-second search capabilities across months of footage using natural language queries such as 'person in red jacket near loading dock' or 'vehicle parked longer than 30 minutes.' 'Vector databases have solved the fundamental challenge of extracting meaningful insights from massive video datasets,' said a technology executive at the surveillance provider. 'We can now provide our customers with instant, accurate search results that would have taken hours of manual review with traditional systems.' Organizations implementing these AI-powered capabilities report security teams can now detect threats and respond up to 50% faster than traditional monitoring methods, while automated anomaly detection significantly reduces false positives and operational costs by eliminating extensive manual monitoring requirements. Enterprise customers across retail operations, industrial safety, transportation infrastructure, and smart city initiatives are deploying these capabilities to achieve advanced loss prevention, automated safety monitoring, passenger flow analysis, and privacy-compliant public safety tracking. Zilliz Cloud Delivers Enterprise-Scale Performance Zilliz Cloud's distributed architecture addresses enterprise-scale video processing demands through several key capabilities. The platform processes billions of video vectors with sub-100ms latency while auto-scaling to accommodate traffic spikes and varying workloads. Built-in security, encryption, and compliance features protect sensitive video data, while multi-tenant support enables surveillance providers to serve diverse customer bases efficiently. The vector database approach converts video footage into high-dimensional mathematical representations, enabling sophisticated AI analysis and semantic understanding that supports both real-time monitoring and forensic investigation. This technology eliminates traditional surveillance limitations by breaking down data silos and integrating video insights with other operational systems. Industry Adoption Accelerates with Responsible AI Focus As AI becomes more embedded in surveillance systems, Zilliz emphasizes responsible development practices aligned with privacy regulations such as GDPR. This US-based company's solutions maintain transparency and security standards while designing AI enhancement to augment human capabilities rather than replace security professionals, enabling teams to focus on complex decision-making while automation handles routine monitoring tasks. The integration of AI and vector databases positions surveillance systems for continued evolution, including edge computing implementations, AI-powered video summarization, and autonomous surveillance capabilities that will further improve security operations while reducing operational costs. Solutions Available for Enterprise Implementation Organizations implementing AI-powered video surveillance can learn more about Zilliz Cloud at or contact sales for deployment consultations. About Zilliz Zilliz is a US-based global leader building next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, United States, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others. View original content: SOURCE zilliz
Yahoo
15-06-2025
- Business
- Yahoo
Zilliz Transforms Video Surveillance Industry with AI-Powered Vector Database Solutions
Leading surveillance providers leverage Zilliz Cloud to overcome data overload challenges, enabling real-time threat detection and sub-second video search across enterprise installations. REDWOOD SHORES, Calif., June 15, 2025 /CNW/ -- Zilliz, creator of the world's most widely adopted open-source vector database, Milvus, today announced significant adoption of its vector database solutions by video surveillance providers addressing critical industry challenges. As the global video surveillance market, valued at over $62 billion and growing rapidly, evolves from passive monitoring tools to intelligent, proactive security solutions, organizations using Zilliz Cloud and Milvus report breakthrough capabilities in overcoming data overload, eliminating manual monitoring inefficiencies, and achieving real-time threat detection. Traditional video surveillance systems struggle with data overload from underutilized footage, time-consuming manual monitoring processes, and data silos that prevent cross-domain intelligence integration. Surveillance platforms implementing Zilliz Cloud vector databases are solving these persistent challenges by transforming vast amounts of video data into actionable intelligence through vector embeddings that represent visual context and meaning. "The video surveillance industry is undergoing a massive transformation from reactive monitoring to proactive intelligence," said Charles Xie, CEO of Zilliz. "Traditional surveillance systems create bottlenecks with manual processes prone to human error and data overload that limits effectiveness. Our customers are building AI-native security solutions that can process vast amounts of visual data in real-time, detect anomalies instantly, and provide actionable insights that were previously impossible to achieve." Major Surveillance Platforms Report Breakthrough Performance Leading cloud-based surveillance providers report transformative results after transitioning from traditional databases to Zilliz Cloud's vector search technology. A major multi-tenant surveillance platform serving businesses from retailers with thousands of locations to small enterprises managing just a few sites achieved significant improvements in video retrieval performance. The platform now delivers sub-second search capabilities across months of footage using natural language queries such as "person in red jacket near loading dock" or "vehicle parked longer than 30 minutes." "Vector databases have solved the fundamental challenge of extracting meaningful insights from massive video datasets," said a technology executive at the surveillance provider. "We can now provide our customers with instant, accurate search results that would have taken hours of manual review with traditional systems." Organizations implementing these AI-powered capabilities report security teams can now detect threats and respond up to 50% faster than traditional monitoring methods, while automated anomaly detection significantly reduces false positives and operational costs by eliminating extensive manual monitoring requirements. Enterprise customers across retail operations, industrial safety, transportation infrastructure, and smart city initiatives are deploying these capabilities to achieve advanced loss prevention, automated safety monitoring, passenger flow analysis, and privacy-compliant public safety tracking. Zilliz Cloud Delivers Enterprise-Scale Performance Zilliz Cloud's distributed architecture addresses enterprise-scale video processing demands through several key capabilities. The platform processes billions of video vectors with sub-100ms latency while auto-scaling to accommodate traffic spikes and varying workloads. Built-in security, encryption, and compliance features protect sensitive video data, while multi-tenant support enables surveillance providers to serve diverse customer bases efficiently. The vector database approach converts video footage into high-dimensional mathematical representations, enabling sophisticated AI analysis and semantic understanding that supports both real-time monitoring and forensic investigation. This technology eliminates traditional surveillance limitations by breaking down data silos and integrating video insights with other operational systems. Industry Adoption Accelerates with Responsible AI Focus As AI becomes more embedded in surveillance systems, Zilliz emphasizes responsible development practices aligned with privacy regulations such as GDPR. This US-based company's solutions maintain transparency and security standards while designing AI enhancement to augment human capabilities rather than replace security professionals, enabling teams to focus on complex decision-making while automation handles routine monitoring tasks. The integration of AI and vector databases positions surveillance systems for continued evolution, including edge computing implementations, AI-powered video summarization, and autonomous surveillance capabilities that will further improve security operations while reducing operational costs. Solutions Available for Enterprise Implementation Organizations implementing AI-powered video surveillance can learn more about Zilliz Cloud at or contact sales for deployment consultations. About Zilliz Zilliz is a US-based global leader building next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, United States, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others. View original content: SOURCE zilliz View original content: Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Cision Canada
12-06-2025
- Business
- Cision Canada
Milvus 2.6: Built for Scale, Designed to Reduce Costs
REDWOOD SHORES, Calif., June 12, 2025 /CNW/ -- Zilliz, the company behind the open-source vector database Milvus, today announced the release of Milvus 2.6, furthering the company's long-standing mission to democratize AI through accessible and affordable vector data solutions. This latest release continues Zilliz's commitment to helping organizations scale their AI applications without incurring significant costs, delivering substantial cost reductions across storage, compute, operations, and developer effort. "I've long been passionate about democratizing AI by making the underlying technologies more accessible and affordable for everyone," said Charles Xie, CEO at Zilliz. "For over a year, I've emphasized that cost reduction is critical for widespread AI adoption. As data volumes continue to grow exponentially, organizations require vector database solutions that can scale efficiently while maintaining cost control. Milvus 2.6 furthers our commitment to this vision with innovations that streamline infrastructure requirements and optimize resource utilization—all while maintaining the high performance our users expect." Continuing Our Mission: Cost Reduction Across Multiple Dimensions Monetary Savings: Lower Infrastructure & Storage Bills Milvus 2.6 introduces several innovations that directly reduce infrastructure costs: Tiered Storage with Hot/Cold Data Separation: Automatically moves frequently accessed vectors to high-performance storage while relegating less-used data to more economical options—reducing storage costs without compromising retrieval performance. Works seamlessly with leading storage providers including Cohesity, Pure Storage, MinIO, and NetApp. Int8 Vector Compression for HNSW Indexes: Stores dense vectors using 8-bit integers, substantially reducing memory requirements while maintaining search accuracy. RabitQ 1-bit Quantization: Pushes quantization to an extreme to achieve comparable retrieval quality with only half memory cost. New Write-Ahead Log (WAL) with Woodpecker: Eliminates the need for external message queues like Kafka or Pulsar, featuring a diskless architecture that reduces infrastructure costs while improving write performance. Organizations migrating from OpenSearch to Milvus have reported up to 8x cost reductions while maintaining or improving performance for vector search workloads. Operational Efficiencies: Less Infrastructure to Manage Milvus 2.6 simplifies operations with its innovative diskless architecture: Streaming Node: A new dedicated component for real-time data ingestion built directly into the platform—eliminating the need for the costly external message queues on the write path. CDC + BulkInsert: Combines Change Data Capture (CDC) with bulk data ingestion feature, simplifying data replication across instances in different geolocation. Storage v2 Format: Optimized for performance and future compatibility with data processing frameworks like Apache Spark. APT/YUM Deployment: Native package support simplifies installation and upgrades, reducing operational overhead. Developer Time: More Built-In Tools, Less Plumbing Milvus 2.6 boosts developer productivity with: Data-In, Data-Out: Enables direct ingestion of raw content (text, images, audio) with built-in inference capabilities—eliminating separate pre-processing pipelines. Custom Reranker: Allows developers to apply custom scoring logic using scalar fields and user-defined functions. Text & JSON Search: Native support for advanced text processing capabilities including: Advanced tokenization for Asian languages (Japanese/Korean) JSON path/flat/key indexing Match & phrase queries Sampling + Aggregation Queries: Built-in analytics tools for fast iteration during development. Open Source & Trusted by Developers Milvus is fully open source with permissive licensing (Apache 2.0) and developer-friendly architecture. With no black boxes, organizations can contribute, audit, and customize as needed—ensuring transparency and flexibility. Already a Leader in Vector Search Milvus has established itself as one of the most widely adopted vector databases in the world, powering AI applications at scale for more than 10,000 organizations worldwide across a wide range of use cases. "The integration between Milvus 2.6 and MinIO creates a powerful solution for AI workloads requiring both performance and cost efficiency," said Anand Babu Periasamy, CEO and co-founder of MinIO. "By enabling data to be written directly to MinIO instead of using Kafka and supporting hot/cold tiered storage strategies, Milvus 2.6 users can achieve significant infrastructure simplification while maintaining performance for their vector search applications." For more information on Milvus 2.6 and its groundbreaking features, visit the Milvus website and read our blog post. About Zilliz Zilliz is an American SaaS company that builds next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions. Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.
