#edge-computing

#edge-computing

When people think about space, the first images that come to mind are usually rockets, satellites, and astronauts floating in orbit. But the future of space is just as much about algorithms and compute power as it is about propulsion systems and spacecraft. At TechCrunch Disrupt 2025, the Aerospace Corporation is pulling back the curtain on how artificial intelligence is reshaping the space economy - through bold startups and cutting-edge research.

During the Snapdragon Summit on Maui, Cristiano Amon, CEO of Qualcomm, gave a glimpse into where the (mobile) ecosystem they provide with chips is heading. Qualcomm envisions a future in which AI moves from the cloud to your devices, taking care of everything for you in every possible way. Qualcomm invited us to attend the Snapdragon Summit, where two new chips were presented: a new smartphone and a new compute chip. The latter is primarily intended for laptops and mini PCs.

Cloudera describes itself as the company that brings "AI to data anywhere" today. It's a claim stems from its work that spans a multiplicity of data stacks in private datacentres, in public cloud and at the compute edge. As we now witness enterprises move quickly through what the company says are "new stages of AI maturity", Cloudera used its Evolve25 flagship practitioner & partner conference this month in New York to explain the mechanics of its mission to help enterprises navigate this transformation with an AI-powered data lakehouse.

To support HTTP client APIs, Cloudflare reimplemented the core node:http APIs by building on top of the standard fetch() API that Workers use natively, maintaining Node.js compatibility without significantly affecting performance. The wrapper approach supports standard HTTP methods, request and response headers, request and response bodies, streaming responses, and basic authentication. However, the managed approach makes it impossible to support a subset of Node.js APIs.

From stealth mode to center stage, Mach Industries is bringing AI into one of the world's most complex and controversial sectors: defense. At TechCrunch Disrupt 2025, Ethan Thornton, CEO and founder of Mach Industries, steps onto the AI Stage to share what it takes to build in high-stakes environments where speed and autonomy matter most - and why next-gen infrastructure starts with rethinking the fundamentals.

As the backbone of artificial intelligence (AI), machine learning, cloud computing and the internet of things (IoT), datacentres are at the centre of modern business infrastructure, but as businesses become more dispersed, the infrastructure surrounding datacentres has become more critical and complex, with network outages no longer isolated events and their cost to businesses never higher, a study from Opengear has found.

For OpenYurt, Kubernetes at the edge means running workloads outside centralised data centres at locations like branch offices or IoT sites. This helps reduce latency, improve reliability when connectivity is limited, and enable tasks such as analytics, machine learning, and device management, all while maintaining consistency with upstream Kubernetes. As the CNCF notes in its Cloud Strategies and Edge Computing blog, deploying compute resources closer to the network edge can deliver high-speed connectivity, lower latency, and enhanced security.

With HyperScale Edge, Commvault is specifically targeting remote locations and smaller businesses where space and IT resources are limited. Think of retail stores, branches, and distribution centers. These environments often have different needs than large data centers. The solution works with validated hardware from Dell, HPE, and Lenovo. Like the other HyperScale products, it is delivered as a software image that is easy to install. This makes implementation faster and more predictable.

The integration combines Scale Computing's Hypercore platform with Bitdefender's GravityZone to secure workloads, virtual desktops, and data in edge environments.

The Box isn't some magical compression algorithm. It's edge AI hardware that can run the models that needed Google's data centers two years ago. And it's shipping right now.