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What is an AI server? Why artificial intelligence needs specialized systems

Network World

To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).

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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Cost, by comparison, ranks a distant 10th.

Data 321
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10 quantum computing milestones of 2024

Network World

This means that they have developed an application that shows an advantage over a classical approach though not necessarily one that is fully rolled out and commercially viable at scale. Two functions remove the need to understand quantum circuits, focusing on optimization and chemistry applications.

IBM 397
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LLM benchmarking: How to find the right AI model

CIO Business Intelligence

Specialization: Some benchmarks, such as MultiMedQA, focus on specific application areas to evaluate the suitability of a model in sensitive or highly complex contexts. The better they simulate real-world applications, the more useful and meaningful the results are. They define the challenges that a model has to overcome.

How To 312
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From cloud spend to cloud value: The power of Cloud Unit Economics

CIO Business Intelligence

We have found that it’s much easier to have a conversation on cost when it is viewed through the lens of product/service or customer profitability than it is to explain why your AWS Elastic Compute Cloud (EC2) instance cost has risen with only the prior months spending as a comparison. It is therefore not advisable to seek 100% accuracy.

Cloud 278
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Knowledge graphs: the missing link in enterprise AI

CIO Business Intelligence

In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications. By comparison, autonomous agents, located just below GraphRAG on the hype cycle, will take five to 10 years. But thats true of a lot of gen AI applications.

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Generative AI: now is the time to ‘learn by doing’

CIO Business Intelligence

This time, generative AI applications will become ubiquitous and indispensable machines that just about everyone uses to do things on their behalf. The only question at hand is whether any given organization, yours included, stands out as being particularly good or bad by comparison. Artificial Intelligence, Machine Learning