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, sign up here!
Dell Technologies introduced the Dell PowerEdge XE8812 server, a new addition to the Dell AI Factory with NVIDIA, purpose-built for the world’s most demanding HPC and AI workloads, featuring NVIDIA Vera Rubin NVL4 architecture and delivering up to 144 GPUs per rack. The new fanless, direct liquid cooled server is purpose-built for running demanding HPC and AI workloads. With the shift from NVIDIA GB200 NVL4 to NVIDIA Vera Rubin NVL4, the platform gains expanded host memory, more cores (expanding from 144 to 176), more GPU memory, and more compute.
Lenovo announced an expansion of its Lenovo Hybrid AI Advantage, introducing a new portfolio of AI inferencing and agentic AI innovations designed to help organizations deploy AI more securely, reduce token costs, and scale AI from device to data center. With hybrid deployment flexibility, the platform enables companies to run AI across cloud, edge, and on-prem environments. Key capabilities include an enterprise-grade AI agent ecosystem; inference-first, CPU-optimized architecture; private AI deployment options; and more.
Real-time analytics news in brief
Aerospike opened its Aerospike Academy training program to all developers and operators worldwide. Previously available only to paid enterprise customers, Academy’s structured, self-paced, and interactive courses are now free for anyone building on the Aerospike Database.
Alteryx announced expanded Live Query capabilities for Snowflake. Together, the two companies are helping organizations operationalize AI agents by enabling them to access governed information across the business, apply trusted business logic, and execute workflows directly within Snowflake. Some of the new agentic capabilities include Autonomous Campaign Optimization, Predictive Micro-Segmentation & Churn Interception, Generative Content Personalization at Scale, and Intelligent Lead Routing & Next-Best-Action.
Brinqa announced BYOAI (Bring Your Own AI), a capability that enables organizations to connect any AI agent, large language model (LLM), or automation platform to Brinqa’s trusted exposure intelligence layer. With this approach, teams can use the AI tools, agents, and platforms that best fit their needs while operating from the same trusted source of truth. This creates consistency across teams, improves decision quality, accelerates collaboration, and helps organizations respond to risk with greater speed and confidence.
CData Software launched three products for developers building AI applications on enterprise data: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI. The releases give developers direct, governed access to enterprise systems, Salesforce, Snowflake, NetSuite, Microsoft 365, Workday, and hundreds of others, through the interfaces they already use: SQL, Python, the command line, and MCP.
EnterpriseDB (EDB) announced new agentic database and converged analytics capabilities for EDB Postgres AI (EDB PG AI). The offerings bring intelligence, analytics, and governance together at the data layer, on a single open Postgres foundation that enterprises own and control. Relational, analytical, vector, and agentic workloads operate as one on a foundation that EDB will extend through 2026 in a sovereign AI operating system for the agentic era.
Komprise announced Komprise Transparent File Tables, which expose a structured view of enterprise unstructured data to leading AI, business intelligence, and analytics platforms such as Snowflake and Databricks. Data engineers, data scientists, and analysts can now query and use unstructured data as an Apache Iceberg table in their familiar environment while avoiding massive costs for large-scale data movement.
M-Files launched new M-Files AI agents designed to empower organizations to put content to work with intelligent information management. M-Files’ new AI capabilities enable organizations to automate document-centric processes across metadata enrichment, conversational access, intelligent search, workflow automation, and vertical solutions, while maintaining governance, transparency, and control. M-Files Agents are built natively on M-Files’ Enterprise Knowledge Graph and understand business context to help organizations deploy and adopt enterprise AI with confidence.
New Relic announced the next evolution of its platform that will power agentic AI-first businesses. The New Relic Autopilot and New Relic Ground Truth capabilities provide engineering teams with ultimate flexibility, enabling them to either deploy an automated SRE agent operated entirely by New Relic or supercharge their existing, custom AI agents by natively integrating them with New Relic’s powerful observability data substrate.
OPAQUE announced its new platform for AI agents, giving enterprises a way to prove what their agents did rather than just claim it. OPAQUE 3.0 includes two major open-source milestones: Agent Manifest, a new open standard for verifiable AI agents built on the Agent Governance Toolkit, and Confidential MCP, the first Model Context Protocol implementation that is both verifiably governed and secured through confidential computing.
OpenAI and Broadcom unveiled Jalapeño, OpenAI’s first Intelligence Processor: an accelerator architected around OpenAI’s vision for the future of LLM inference, and the first AI accelerator in a multi-generation compute platform the companies are building together to make advanced AI faster, more reliable, and more accessible to more people.
SUSE and Openchip & Software Technologies signed a Memorandum of Understanding (MoU) to collaborate on Europe’s first enterprise-grade sovereign technology stack spanning from RISC-V-based hardware architectures to open-source software. The partnership aims to ensure SUSE Linux Enterprise Server, SUSE Kubernetes Engine (RKE2), SUSE Rancher Prime, and SUSE AI Factory enable the high performance of Openchip’s upcoming hardware and software.
Zilliz, the company behind Milvus, announced the public preview of Zilliz Vector Lakebase, a release that pairs the production vector database with a shared, lake-native data foundation. Vector Lakebase keeps Zilliz Cloud’s real-time vector search at the core and extends it with three new ways to operate on the same data: interactive discovery, large-scale batch analytics, and search directly on external data lakes. The result is a single data foundation in which every workload runs against a single logical copy of the data, with on-demand and batch jobs billed only when compute is active.
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