In this week’s real-time analytics news: MLCommons announced the results for the MLPerf Training v5.1 benchmark suite, highlighting the significant performance improvements from new generations of systems.
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MLCommons announced new results for the MLPerf Training v5.1 benchmark suite, highlighting the rapid evolution and increasing richness of the AI ecosystem as well as significant performance improvements from new generations of systems. This round recorded substantial performance improvements over the version 5.0 results for two benchmark tests focused on generative AI scenarios, outpacing the rate of improvement predicted by Moore’s Law.
Version 5.1 set new records for the diversity of the systems submitted. Participants in this round of the benchmark submitted 65 unique systems, featuring 12 different hardware accelerators and a variety of software frameworks. Nearly half of the submissions were multi-node, which is an 86% increase from the version 4.1 round one year ago. The multi-node submissions employed several different network architectures, many incorporating custom solutions.
The MLPerf Training v5.1 round includes performance results from 20 submitting organizations: AMD, ASUSTeK, Cisco, Datacrunch, Dell, Giga Computing, HPE, Krai, Lambda, Lenovo, MangoBoost, MiTAC, Nebius, NVIDIA, Oracle, Quanta Cloud Technology, Supermicro, Supermicro + MangoBoost, University of Florida, and Wiwynn.
Real-time analytics news in brief
Memgraph announced two new tools, architected to open up the power of Retrieval-Augmented Generation based on graph technology (GraphRAG) to the entire database market and democratize GraphRAG access. One offering is the immediately available AI Graph Toolkit, which is a set of open-source libraries and utilities that automate the porting of both SQL and unstructured data into a knowledge graph in Memgraph, making it accessible to a chatbot running a GraphRAG pipeline. Later this month, the company will introduce an MCP Client within Memgraph Lab that is fully compatible with the emerging standard for context engineering.
The Cloud Native Computing Foundation (CNCF) announced the launch of the Certified Kubernetes AI Conformance Program. The program outlines a minimum set of capabilities and configurations required to run widely used AI and machine learning frameworks on Kubernetes. The initiative seeks to give enterprises confidence in deploying AI on Kubernetes while providing vendors a common baseline for compatibility.
Cloudsmith announced the early access launch of its Model Context Protocol (MCP) Server. This new integration layer brings Cloudsmith’s capabilities directly into the developer’s AI-powered workflows. Built to connect the AI tools developers already use, like Claude or CoPilot, directly into the software supply chain, it’s helping teams better understand, manage, and make decisions around their artifacts – all within existing workflows.
Couchbase announced significant advancements to the Couchbase Mobile platform, which makes it possible to run AI-powered applications on devices operating at the disconnected edge. The introduction of JavaScript support for Couchbase Lite allows the embedded database to run in any web browser, creating a universal client that can operate anywhere, regardless of internet connectivity.
Cyera launched Access Trail, giving organizations detailed insight into every data touchpoint. The solution gives organizations clear, cost-effective visibility into billions of access events each year with one-year data retention. Built on Cyera’s AI-native data security platform, it combines deep data classification with identity (human and AI) to connect every action to data sensitivity, ownership, business context, and key details like data location, retention, and existing security controls.
Densify announced Kubex AI, a combination of verticalized AI for resource optimization and a conversational UI. With Kubex AI, anyone can access expert-level analytics and direct the optimization of complex, highly scaled Kubernetes and AI infrastructure through the use of embedded chat-based interactions. Kubex AI will be available to all Densify customers by November 28, 2025.
Dremio announced Dremio Cloud, an agentic lakehouse that ushers in a new generation of data lakehouse platforms to empower artificial intelligence. The solution transforms legacy-based data infrastructures into a self-managing platform that continuously learns, adapts, and optimizes without human intervention. This enables data engineers to be more productive and focus on innovation by eliminating mundane and time-consuming work.
Mozilla.ai released any-llm-gateway, a FastAPI-based proxy server that lets developers deploy, budget, monitor, and control LLM access at scale. any-llm-gateway sits between an organization’s applications and LLM providers, exposing the OpenAI-compatible Completions API that works with any supported provider.
Progress Software announced early access for Progress Agentic RAG for Sitefinity, which is an enterprise-grade capability that combines retrieval-augmented generation (RAG) with real-time content assembly inside the Sitefinity platform. This innovation introduces native, multilingual, agentic RAG-based AI technology to deliver dynamically generated user experiences driven by a site visitor’s prompt.
Qumulo unveiled three major innovations that redefine how enterprises integrate their data into AI factories. Together, these advancements, Qumulo Helios Agent, Qumulo Cloud AI Accelerator, and Qumulo AI Networking, provide customers with the oversight, scalability, and speed needed to innovate on their terms, any data, any location, with total control.
Red Hat announced Red Hat Developer Hub 1.8, the latest version of its enterprise-grade developer portal based on the Backstage project. New features and enhancements in this release provide users with AI tools to boost productivity and integrate AI into applications and lifecycle tools to scale governance, get support more easily, and extend functionality faster. The solution also offers a more personalized experience for faster self-service and onboarding.
Solo.io announced the launch of agentregistry, a centralized, trusted, and curated open source registry for AI applications and artifacts. Solo.io also announced Agent Skills, which are modular, context-aware capabilities that can be composed, shared, and executed deterministically by an agent to achieve complex goals.
Starburst announced that it is joining the Open Semantic Interchange (OSI), an open-source initiative led by Snowflake. OSI creates a universal specification for all companies to standardize their fragmented data definitions with an open, vendor-neutral semantic model specification. OSI aims to enhance interoperability across various tools and platforms, offering enterprises a vendor-neutral specification that provides consistent metrics and definitions across dashboards, notebooks, and machine learning models.
SUSE announced new enhancements to SUSE Rancher Prime and SUSE AI to provide simplicity, security, and observability of enterprise AI and container workloads. SUSE Rancher Prime 2.13 unites infrastructure and applications from SAP, AI, containers, VMs, and edge. The extended capabilities include updates to SUSE AI, a specialized stack that gives enterprises a unified, flexible, and secure platform to manage hybrid AI workloads and accelerate adoption. SUSE also announced SUSE Rancher Developer Access, a UI extension granting access to SUSE Application Collection via Rancher Desktop.
VDURA announced Version 12 of the VDURA Data Platform. V12 increases performance on every metric and introduces a new elastic Metadata Engine, system-wide Snapshot Support, and optimized integration for hyperscale class HDDs using Shingled Magnetic Recording (SMR) technology to deliver improved performance efficiency, durability, and capacity scaling across the data lifecycle.
Partnerships, collaborations, and more
Denodo announced that it has achieved the Databricks Validated Partner designation. To obtain that designation, the Denodo Platform, a logical data management solution, underwent rigorous technical validation by Databricks, assessing its compatibility, interoperability, performance, and security alignment with the Databricks Data Intelligence Platform.
IFS announced a strategic partnership with Anthropic to accelerate and scale the impact of AI in the world’s most critical industries. The partnership combines the deep industry expertise and AI talent of IFS Nexus Black, part of IFS , with Anthropic’s AI capabilities and commitment to building safe, reliable AI. Additionally, IFS is launching Resolve as the first of many new IFS solutions that put industry-specific AI directly into the hands of frontline workers.
OpenText announced that its OpenText Core Content Management for SAP solutions are officially certified for SAP S/4HANA Cloud Public Edition. The certification makes OpenText an SAP Solution Extensions partner with a document management platform qualified to support SAP Cloud ERP.
Postman announced its acquisition of liblab, a platform for developers that automates the generation and maintenance of Software Development Kits (SDKs). With this acquisition, Postman continues to expand its platform to cover the entire API lifecycle, from design and testing to documentation and consumption, enabling developers to build, connect, and consume APIs faster than ever before.
Pliops announced a collaboration with DapuStor to integrate its high-performance SSDs into Pliops’ LightningAI KV-Cache offloading solution. This partnership strengthens Pliops’ ecosystem and reinforces its commitment to delivering high-performance, scalable solutions for AI and data-intensive workloads.
Salesforce signed a definitive agreement to acquire Spindle AI, which offers an agentic analytics platform. After the acquisition closes, Spindle AI will join Agentforce to focus on augmenting the Agent Observability and Self-Improvement pillar for Agentforce 360, including custom agentic analytics, ROI forecasting, and continuous optimization.
VAST Data announced an expanded partnership with Google Cloud to enable customers to deploy the VAST AI Operating System (AI OS) and extend a unified global namespace across hybrid environments. Powered by the VAST DataSpace, enterprises can now seamlessly connect clusters running in Google Cloud and on-premises locations.
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In case you missed it, here are our most recent weekly real-time analytics news roundups:
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