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Microsoft acquires Fungible, a maker of data processing units, to bolster Azure

TechCrunch

In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of data center hardware known as a data processing unit (DPU), for around $190 million. ” A DPU is a dedicated piece of hardware designed to handle certain data processing tasks, including security and network routing for data traffic. .”

Azure 282
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Google’s AI innovations at Cloud Next 2025: What CIOs need to know

CIO

Ironwood brings performance gains for large AI workloads, but just as importantly, it reflects Googles move to reduce its dependency on Nvidia, a shift that matters as CIOs grapple with hardware supply issues and rising GPU costs.

Cloud 139
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Can serverless fix fintech’s scaling problem?

CIO

Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Scalability. Scalability. Cost forecasting. Time to market.

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Azure Container Apps – Simplifying Container Deployment Without the Kubernetes Complexity

Xebia

In August 2021, I was accepted to test and provide feedback on what was referred to as ‘Azure Worker Apps’, another Azure service Microsoft was developing to run containers. Fast forward, that service is now known as Azure Container Apps. This is where Azure Web Apps for Containers comes into play.

Azure 130
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To cope with stricter data regulation, enterprises should look to fully open APIs

TechCrunch

Picture this scenario as a young enterprise: You are a customer of Azure, AWS, or the Google Cloud Platform, assuming they are the frontrunners. Ideally, the software and hardware that implement the API should also be open source. Use of hardware without being able to audit its design poses a risk of logistics attacks.

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Perception layer: IoT hardware. Microsoft Azure IoT. How an IoT system works.

IoT 141
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Scalability and Elasticity.