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Mastering technology modernization: 6 steps for building your road map

CIO

Which are not longer an architectural fit? For example, a legacy, expensive, and difficult-to-support system runs on proprietary hardware that runs a proprietary operating system, database, and application. However, it is possible to run the database and application on an open source operating system and commodity hardware.

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How to talk to your board about tech debt

CIO

Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt. What part of the enterprise architecture do you need to support this, and what part of your IT is creating tech debt and limiting your action on these ambitions?

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EnCharge AI emerges from stealth with $21.7M to develop AI accelerator hardware

TechCrunch

EnCharge AI , a company building hardware to accelerate AI processing at the edge , today emerged from stealth with $21.7 Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements.

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AI chip startup Axelera lands $27M in capital to commercialize its hardware

TechCrunch

Several years ago, Fabrizio Del Maffeo and a core team from Imec, a Belgium-based nanotechnology lab, teamed up with Evangelos Eleftheriou and a group of researchers at IBM Zurich Lab to develop a computer chip. It’s also not the first company pursuing an in-memory architecture for edge devices. billion by 2025.

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New botnet Torii showcases next stage of IoT abuse, researchers say

The Parallax

Security researchers have caught hackers lashing together Internet-connected devices in a botnet they’re calling Torii, which uses techniques not seen in an IoT botnet before—including intercepting and stealing data, and using the Tor Project network to hide its network traffic. Avast sponsors this site.).

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Each hardware failure can result in wasted GPU hours and requires valuable engineering time to identify and resolve the issue, making the system prone to downtime that can disrupt progress and delay completion.

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Nvidia points to the future of AI hardware

CIO

And if the Blackwell specs on paper hold up in reality, the new GPU gives Nvidia AI-focused performance that its competitors can’t match, says Alvin Nguyen, a senior analyst of enterprise architecture at Forrester Research. The case for Blackwell is clear, adds Shane Rau, research VP for semiconductors at IDC.

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