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<\/p>\n In this week\u2019s real-time analytics news: The Linux Foundation welcomed the AGNTCY project, an open-source infrastructure that enables discovery, identity, messaging, and observability among AI agents from different vendors and frameworks. <\/p>\n <\/strong><\/p>\n Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox,\u00a0sign up here<\/strong><\/a>!<\/p>\n The Linux Foundation<\/strong><\/a> welcomed the AGNTCY project, an open-source infrastructure that enables discovery, identity, messaging, and observability among AI agents from different vendors and frameworks.\u00a0Cisco<\/strong><\/a>,\u00a0Dell Technologies<\/strong><\/a>,\u00a0Google Cloud<\/strong><\/a>,\u00a0Oracle<\/strong><\/a>, and\u00a0Red Hat<\/strong><\/a>\u00a0have joined as formative members of the AGNTCY project under Linux Foundation governance.<\/p>\n Initially open sourced by Cisco in March 2025, with collaboration from\u00a0LangChain<\/strong><\/a>\u00a0and\u00a0Galileo<\/strong><\/a>, AGNTCY has grown to include more than 75 supporting companies and provides the foundational infrastructure for the \u201cInternet of Agents,\u201d a new collaboration layer that lets multi-agent systems work together regardless of who built them or where they run.<\/p>\n What is AGNTCY?<\/strong><\/p>\n The AGNTCY project\u2019s open, common infrastructure provides developers and organizations with secure agent identity, reliable messaging and end-to-end observability to enhance transparency, performance, efficiency and trust.<\/p>\n Additionally, the AGNTCY project is interoperable with leading AI agent technologies, including the Agent2Agent (A2A) project, which was recently contributed to the Linux Foundation, and Anthropic\u2019s Model Context Protocol (MCP). The AGNTCY project enables dynamic multi-agent environments by making A2A agents and MCP servers discoverable through AGNTCY directories, increasing transparency through AGNTCY observable software development kits (SDKs), and supporting message transport over the Secure Low Latency Interactive Messaging (SLIM) protocol.<\/p>\n Real-time analytics news in brief<\/p>\n MLCommons<\/strong><\/a> announced the release of MLPerf Client v1.0, a benchmark for measuring the performance of large language models (LLMs) on PCs and other client-class systems. MLPerf Client v1.0 introduces an expanded set of supported models, including Llama 2 7B Chat, Llama 3.1 8B Instruct, and Phi 3.5 Mini Instruct. It also adds Phi 4 Reasoning 14B as an experimental option to preview the next generation of high-reasoning-capable LLMs. These additions allow the benchmark to reflect real-world use cases across a broader range of model sizes and capabilities.<\/p>\n (AWS) announced it is expanding its serverless database portfolio with the general availability of Amazon DocumentDB Serverless (with MongoDB compatibility), a fully managed, cost-effective document database service. Serverless databases, like Amazon DocumentDB Serverless, are particularly useful for agents. This is because agent workflows are hard to predict and can rapidly increase in activity at a moment\u2019s notice, only to decrease just as fast.<\/p>\n Azul<\/strong><\/a> announced its new Managed Services Provider Program for Azul Intelligence Cloud, a program that allows Managed Service Providers (MSPs) to embed Azul Intelligence Cloud\u2019s Java inventory, vulnerability, and code use analytics directly into their Java advisory, license management, security operations, and DevOps services. The program equips partners to support their customers with reporting and analytic insights into their entire Java fleet.<\/p>\n Cognizant<\/strong><\/a>\u00a0announced the launch of AI Training Data Services, a new offering designed to help enterprises build, fine-tune, and implement AI models at speed and scale. The new offering fuses data engineering and AI training expertise with deep functional and industry-domain knowledge to turn multi-modal data into high-quality inputs for machine-learning and generative AI models.<\/p>\n DataRobot<\/strong><\/a>\u00a0unveiled the Agent Workforce Platform, a solution for building, operating, and governing a fully functional agent workforce. Co-engineered with NVIDIA<\/strong>, this platform lets organizations manage agents like digital employees, from deployment and integration to real-time oversight, retraining, and decommissioning. Organizations can rapidly run, orchestrate, and automatically scale AI agent workloads anywhere, whether in cross-cloud, on-premises, or hybrid environments.<\/p>\n Elastic<\/strong><\/a> announced a major update to the Elasticsearch Query Language (ES|QL) in Elasticsearch 8.19 and 9.1. ES|QL now supports enterprise-grade use cases with the general availability of LOOKUP JOIN and Cross-Cluster Search (CCS), a new default setting for partial results, enhanced query observability, alongside more than 30 additional internal improvements that further reduce latency and resource usage across large-scale environments.<\/p>\n HelixML<\/strong><\/a>\u00a0announced Helix 2.0, a next-generation private AI platform designed to let enterprises and developers deploy production-ready AI agents on their own infrastructure quickly. Helix 2.0 eliminates the complexity, high costs, and security risks of traditional AI deployments, providing everything needed to build, deploy, and manage powerful AI solutions with complete data sovereignty and predictable economics.<\/p>\n Hyland<\/strong><\/a> announced the launch of\u00a0Agent Builder, a tool designed to help organizations build and deploy enterprise-grade AI agents that enhance operational efficiency and improve decision making. Agent Builder\u00a0automates the time-consuming work of reading, understanding, and acting on large volumes of information, freeing teams to focus on higher-value activities.<\/p>\n Informatica<\/strong><\/a> announced advanced features to its Intelligent Data Management Cloud (IDMC) platform. The new AI-powered data management capabilities are designed to simplify and enhance enterprise-wide access to AI-ready data. The release introduces new features across data integration, governance, quality, master data management, and iPaaS.<\/p>\n Legit Security<\/strong><\/a> launched new AI-powered capabilities centered on improving developer productivity by streamlining remediation and augmenting application security posture management (ASPM) to better secure AI-generated code. Legit\u2019s new AI capabilities deliver context for faster, smarter prioritization and remediation of vulnerabilities, all through a single natural-language view.<\/p>\n Pangea<\/strong><\/a> announced the launch of Pangea\u00a0AI Detection and Response\u00a0(AIDR), a security platform to monitor, detect, and secure GenAI across the enterprise. The solution helps organizations defend themselves against emerging AI risks like shadow AI and sensitive data leakage to LLMs. The platform is available today for early access and will become generally available in September.<\/p>\n Parallel Works<\/strong><\/a> announced the launch of its\u00a0ACTIVATE AI Partner Ecosystem. The ecosystem\u00a0offers access to cutting-edge GPU capacity via neoclouds and aggregators, providing secure access to Kubernetes environments with GPU pooling, as well as vendor-neutral, distributed object storage. Channel partners can also integrate ACTIVATE AI control plane for hybrid cloud bursting with distributed storage.<\/p>\n Scality<\/strong><\/a> announced the release of two open-source Kubernetes drivers. They include a\u00a0Container Object Storage Interface (COSI)\u00a0driver, compatible with any S3-compatible object storage solution; and a\u00a0Container Storage Interface (CSI)\u00a0driver that allows Kubernetes to provision file storage directly from RING S3 buckets. The two drivers automatically handle the backend provisioning of S3 buckets, IAM credentials, and access configuration, all without user intervention.<\/p>\n Silverfort<\/strong><\/a> introduced the Silverfort MCP\u00a0Server. The solution offers a direct and secure conduit for AI agents to interact with Silverfort\u2019s core capabilities. The Silverfort MCP Server is built on Streamable HTTP, the latest and most robust MCP transport protocol. This allows for remote, concurrent, and stateless communication between AI agents and the Silverfort cloud. It is also optimized for reliability and scalability.\u00a0<\/p>\n Snowflake<\/strong><\/a> announced the public preview of Snowpark Connect for Spark. With Snowpark Connect, customers can take advantage of the Snowflake vectorized engine for their Spark code while avoiding the complexity of maintaining or tuning separate Spark environments, including managing dependencies, version compatibility, and upgrades. Users can now run all modern Spark DataFrame, Spark SQL, and user-defined function (UDF) code with Snowflake.<\/p>\n StackGen<\/strong><\/a> announced the launch of its Autonomous Infrastructure Platform, an AI-powered platform featuring AI agents to build and manage cloud infrastructure with autonomous capabilities. StackGen\u2019s platform addresses the fundamental speed mismatch when deploying AI through AI agents that understand specific infrastructure context and organizational standards, increasing velocity and reducing operational effort for developers and platform teams.<\/p>\n Teradata<\/strong><\/a>\u00a0announced ModelOps updates to ClearScape Analytics, streamlining the path from research to production for Agentic AI and Generative AI use cases. The new unified ModelOps platform is designed to provide analytics leaders and data scientists with seamless, native support for open-source ONNX embedding models as well as cloud service provider LLM APIs. These models can be deployed, managed, and monitored without custom development thanks to newly enhanced LLMOps capabilities.<\/p>\n ThoughtSpot<\/strong><\/a> announced the general availability of its\u00a0Agentic Model Context Protocol (MCP) Server. The Agentic MCP Server empowers businesses to seamlessly integrate ThoughtSpot\u2019s agentic analytics capabilities into their AI agents, platforms, and interfaces that support MCP, including Claude, Gemini, and ChatGPT. Instructions on how to start using the Agentic MCP Server are publicly available on\u00a0.\u00a0<\/p>\n Partnerships, collaborations, and more<\/p>\n Datavault AI<\/strong><\/a> announced the expanded commercialization of its flagship AI agents, DataScore and DataValue, built with watsonx.ai. IBM has also committed AI engineering talent and deep technical expertise over multiple years to help Datavault expand and accelerate the impact of its offerings for clients.<\/p>\n dbt Labs<\/strong><\/a> announced it has signed a strategic collaboration agreement (SCA) with\u00a0 (AWS). The agreement will expand technical integrations across services, including Amazon Redshift, Amazon Athena, and Amazon SageMaker Lakehouse, while also expanding AWS Marketplace availability to simplify access and procurement for enterprise customers.<\/p>\n Google Cloud<\/strong><\/a> partnered with\u00a0SUSE<\/strong><\/a> to develop targeted solutions that can enable organizations to run their sensitive workloads in the cloud. The partnership combines the hardware-based security of Google Cloud\u00a0Confidential Virtual Machines\u00a0(Confidential VMs) with the security of\u00a0SUSE Linux Enterprise Server\u00a0(SLES).<\/p>\n Hitachi Vantara<\/strong><\/a> announced new capabilities for Virtual Storage Platform One Software-Defined Storage, now available on Google Cloud<\/strong><\/a> Marketplace. The new capabilities bring enterprise features and greater flexibility to the public cloud, including two-way asynchronous replication, thin provisioning, and advanced data compression.<\/p>\n RAVEL<\/strong><\/a> announced major updates to RAVEL Orchestrate AI, as well as the launch of solutions leveraging Supermicro<\/strong><\/a> Turnkey AI Workload Solution, a powerful and ready-to-deploy AI offering. These products simplify the adoption of scalable AI for organizations across industries, such as data centers, content creation studios, research labs, and large enterprises.<\/p>\n