A customer watches a video of a certain brand on a social media platform and immediately receives a follow-up message on what they are lingering on. Later, the very same customer opens YouTube and sees a story continuation with the same brand voice, personalized. Collaboration is happening in the background, AI and Human Creativity working…
AI is racing into production environments faster than security teams can keep up—and Oligo Security, the runtime security company, is stepping directly into that gap. Today the company unveiled a sweeping set of new capabilities purpose-built to secure the full spectrum of AI technologies in production, from LLMs to autonomous agents, addressing what many experts now call the single largest blind spot in modern cybersecurity.
Enterprise telemetry is hitting a breaking point—and the culprit is the same tech fueling today’s innovation boom. As GenAI workloads generate unprecedented data volumes, Bindplane, the Unified Telemetry Pipeline built on OpenTelemetry, is rolling out Pipeline Intelligence, a production-grade AI automation platform designed to replace manual pipeline construction with intelligent, task-driven automation.
Opsera, the AI-powered DevOps platform and Databricks Startup Award winner, has announced a strategic partnership with Koantek, an Elite Databricks Partner backed by Databricks Ventures. Together, the companies will help enterprises deploy, scale, and operationalize Databricks environments faster—with stronger governance, automated CI/CD, and significantly reduced operational burden.
Merck KGaA, Darmstadt, Germany is turning up the compute dial—hard. The science and technology giant has deployed a new high-performance computing (HPC) platform built on Lenovo ThinkSystem servers with advanced liquid cooling, hosted inside an Equinix AI-ready data center in Germany. For a company with deep stakes in life science, healthcare, and semiconductor materials, compute is no longer background infrastructure—it’s the fuel powering its next decade of scientific discovery.
Saudi Arabia’s ambition to become a global AI heavyweight just notched a major milestone. AMD, Cisco, and HUMAIN—the Public Investment Fund–backed full-stack AI company—announced plans to form a joint venture focused on building world-class AI data center infrastructure at massive scale. And not the theoretical kind. The partners are aiming for up to 1 gigawatt of AI compute capacity by 2030, making the Kingdom one of the largest AI infrastructure hubs outside the US and China.
Fibocom is taking a swing at democratizing local AI computing with its new AI Dongle, a compact plug-and-play accelerator designed to give everyday devices—from PCs to NAS boxes—a serious boost in on-device LLM inference. Think real-time Q&A assistants, text-to-image lookups, and meeting summarization without shipping your data off to the cloud.
The AI boom has turned GPUs into the most coveted silicon on the planet—yet a surprising portion of them are sitting idle. Not because they lack demand, but because the world’s newly built AI factories (from hyperscalers to colocation giants) can’t feed them enough power. Utilization rates of 30–50% have quietly become the norm. And in today’s AI economics, idle GPUs might as well be burning cash.
When quantum computing finally enters its practical era, it won’t arrive quietly—and it certainly won’t arrive alone. Denmark’s DCAI, the AI infrastructure company behind the country’s flagship Gefion supercomputer, is betting that quantum will rise alongside AI, not replace it. Today, the company announced support for NVIDIA NVQLink, a new open reference architecture built to connect classical GPU supercomputers with quantum processing units (QPUs) at blisteringly high speeds.
