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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO Business Intelligence

That means hardware designed from the ground up for maximum performance, data center integration, AI development support, optimal cooling, and easy vertical and horizontal scaling. Workload presets match the profiles with specific applications to improve performance. Workload Presets are ASUS-authored BIOS server profiles.

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Technology Short Take 173

Scott Lowe

Servers/Hardware Alex Ellis provides some details on his workflow for booting Raspberry Pi 5 from NVMe. Tom Hummel finds himself veering back into a hardware-based home lab (instead of a cloud-based lab). A set of vulnerabilities in the open source reference implementation of the UEFI specification has been uncovered.

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With new chip, augmented reality startup Ixana claims breakthrough in quest for ‘wearable brain’

GeekWire

A previously unknown Seattle startup, founded by semiconductor and technology industry veterans, says it has developed an energy-efficient chip capable of running advanced AI applications on lightweight, wireless augmented reality headsets that will operate all day without recharging. The company was founded in late 2020.

Intel 144
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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful.

Dell 135
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Apple’s privacy bet on iOS 18: Local processing

Dataconomy

What is local processing: Local processing refers to the execution of tasks directly on a device, such as a smartphone, computer, or other hardware, without relying on external servers or cloud-based systems. This method involves using the device’s own processing power to handle data and run applications.

Apple 45
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Modernizing the mainframe for the digital era

CIO Business Intelligence

The first is to run transaction-intensive banking applications, including bank statements, deposits, mobile banking, debit-card processing, and loan payments. The second is to host mobile applications, containers, and artificial intelligence (AI) applications — what Sonnenstein calls “acting as a full-fledged member of the modern universe.”.

IBM 144
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Finally leverage edge by adopting an as-a-service approach

CIO Business Intelligence

The open architecture, which is sometimes referred to as fog computing, drives storage and data processing towards a location where it’s needed. NTT manages the hardware, application deployment, security and software patching.