One huge problem with expanding technology associated with today’s innovation is how to power it. Companies moved away from local storage to the cloud, but even with new tech like AI, we still have to figure out where to put infrastructure. In the latest report from CoreSite, “The 2025 State of the

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! MLCommons announced results for its industry-stand

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! HPE announced advancements to its NVIDIA AI Comput

Manufacturing leaders are increasingly embracing AI and computer vision to refine operational precision, enhance safety, and improve product quality. Smart cameras and AI-powered sensors are now integral components of modern industrial intelligence. Yet, as organizations aim to harness high-fidelity

In every industry, data engineers and data scientists are looking to better leverage the data hidden within file shares and locked within different systems. They need this data to create workflows for AI and analytics tools so that they can learn more about their markets, create new products and ser

Sovereign AI doesn’t start and end with model training in European data centers. Rather, sovereign AI is the power to fully control your AI’s data, infrastructure, and decisions—ensuring trust, compliance, and independence every step of the way. True sovereignty begins with end-to-end control over t

Once upon a time, the main rationale for migrating to hyperscale public cloud platforms centered on getting out of the infrastructure maintenance business. IT departments no longer want to have to manage physical servers or face the scalability constraints that come with dependence on on-prem hardwa

If you work in infrastructure, you’ve felt data gravity in action. You plan and build an idyllic, pristine, flexible architecture and stand back to marvel at it briefly. Next, you add data – and then the data grows! Suddenly, workloads are clustering around it, services are being deployed where the

Hybrid cloud is the go-to strategy for enterprises modernizing while ensuring the reliability of existing infrastructure. By combining on-premises systems with cloud environments, organizations can unlock the full potential of their data, enhance agility, and optimize workloads. This approach enable

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! Confluent made a number of announcements at this w

The days of running AI operations in a single data center or centralized cloud facility are gone. Modern AI applications must make use of highly distributed services and capabilities. Bringing these resources seamlessly together requires a new approach to networking. Enter NaaS, network-as-a-service

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! Snowflake made a number of announcements this week

Analysts size the cloud database and DBaaS market at around $24 billion in 2025, with a predicted roughly 20% CAGR to 2030. The drivers include the move to cloud-native architectures, AI and IoT data growth, and demand for globally distributed, low-latency data services. Quite notably, the cloud dat

Training AI models and running them is often a distributed endeavor. Various compute and data resources are typically deployed strategically to optimize performance and reduce costs. Such a distributed model has placed new emphasis on the underlying network infrastructure that connects the different

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! MLCommons announced new results for the MLPerf Tra

In industries increasingly driven by real-time decision-making, such as manufacturing, transportation, telecom, public safety, and more, data is no longer created in occasional batches. It arrives continuously and on a massive scale from sensors, machines, mobile assets, and digital applications. Wh

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! The Department of Energy will lead a new initiativ

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! The annual Amazon Web Services AWS re:Invent confe

Across the technology landscape in 2025, a common thread emerged: enterprises were rapidly rethinking where and how data is processed, managed, and applied as AI becomes foundational to business operations. Whether examining the rise of neoclouds purpose-built for advanced AI workloads, the evolving

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! The U.S. Department of Energy (DOE) has announced