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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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6 key considerations for selecting an AI systems vendor

CIO

Many IT leaders are responding to C-suite pressure for artificial intelligence (AI) capabilities by increasing the organization’s AI investment in 2024. Consider capacity, speed, and scalability. To learn more, visit [link] Artificial Intelligence But it can simplify achieving your AI goals.

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Generative AI in enterprises: LLM orchestration holds the key to success

CIO

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. We think this is a mistake, as the success of GenAI projects will depend in large part on smart choices around this layer.

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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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AI and automation will play an increasing role in technology

CIO

It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to semiconductors. Going forward, we’ll see an expansion of artificial intelligence in creating.

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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.

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5 things CIOs must understand about AI infrastructure

CIO

Scalability, flexibility, and reliability When you consider AI infrastructure and its building block nature, precision becomes even more important for handling varying AI workloads effectively. Yes, that’s scalability and flexibility to accommodate changing computational demands. Learn more about Penguin Solutions.