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Overcoming the infrastructure challenges to accelerate AI success

CIO

AI has the ability to ingest and decipher the complexities of data at unprecedented speeds that humans just cannot match. But for many, simply providing the necessary infrastructure for these projects is the first challenge but it does not have to be. Already, leading organizations are seeing significant benefits from the use of AI.

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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. ” The Fungible team will join Microsoft’s data center infrastructure engineering teams, Bablani said.

Azure 282
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AMD to acquire data center optimization startup Pensando for $2B

TechCrunch

AMD is in the chip business, and a big part of that these days involves operating in data centers at an enormous scale. AMD announced today that it intends to acquire data center optimization startup Pensando for approximately $1.9 Jain will join the data center solutions group at AMD when the deal closes.

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Azure Virtual Machine Tutorial

The Crazy Programmer

Prerequisites: Microsoft Azure Subscription. In simple words, If we use a Computer machine over the internet which has its own infrastructure i.e. RAM, ROM, CPU, OS and it acts pretty much like your real computer environment where you can install and run your Softwares. How to Create a Virtual Machine in Azure?

Azure 249
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Nvidia’s ‘hard pivot’ to AI reasoning bolsters Llama models for agentic AI

CIO

Ultra microservices are for multi-GPU servers and data-center-scale applications. Microsoft is expanding its Azure AI Foundry model catalog with Llama Nemotron reasoning models and NIM microservices to enhance services such as the Azure AI Agent Service for Microsoft 365.

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Delivering better business outcomes for CIOs

CIO

However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. The rise of AI, particularly generative AI and AI/ML, adds further complexity with challenges around data privacy, sovereignty, and governance.

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

Re-platforming to reduce friction Marsh McLennan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Simultaneously, major decisions were made to unify the company’s data and analytics platform.