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

CIO

For successful AI deployments, IT leaders not only need the latest GPU/CPU silicon, they also need artificial intelligence (AI) servers that establish a foundation. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.

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Deploy large language models for a healthtech use case on Amazon SageMaker

AWS Machine Learning - AI

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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LLM experimentation at scale using Amazon SageMaker Pipelines and MLflow

AWS Machine Learning - AI

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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Harness AI’s potential and navigate disruption with Digital Realty

CIO

It may seem like artificial intelligence (AI) became a media buzzword overnight, but this disruptive technology has been at the forefront of our agenda for several years at Digital Realty. Here’s what we’ve learned is necessary to successfully navigate the inevitable disruption and come out ahead by harnessing AI’s potential.

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Handle demanding LLMs and large-scale AI inferencing with purpose-built servers

CIO

The first step to successful genAI setup and implementation is to understand what is needed for large language models (LLMs) and large-scale AI inferencing environments—foundations of genAI—to run smoothly and efficiently. What can businesses do so they don’t miss out on the genAI promise?

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Mastering sustainability challenges in the water domain with smart meter synergy

CIO

20% cost reduction potential due to more efficient business operations First, the three utilities set up a common business model. It would be supported by a cloud-based, future-proof smart meter and energy management system combined with a synergistic, mass roll-out of smart digital water meters. Our data is in one place.

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Transform the modern data center: From today to the future

CIO

These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry. As IT leaders, understanding the path forward is crucial.