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Storage: The unsung hero of AI deployments

CIO

As enterprises begin to deploy and use AI, many realize they’ll need access to massive computing power and fast networking capabilities, but storage needs may be overlooked. In that case, Duos needs super-fast storage that works alongside its AI computing units. “If If you have a broken wheel, you want to know right now,” he says. “We

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Accelerating generative AI requires the right storage

CIO

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage.

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6 key considerations for selecting an AI systems vendor

CIO

ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces. Maximize data storage AI workloads demand vast amounts of data. Evaluate vendors’ storage options, including SSDs, HDDs, and especially NVMe drives. Consider capacity, speed, and scalability.

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Inferencing holds the clues to AI puzzles

CIO

Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. 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. An LLM is only as strong as its inferencing capabilities.

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Use cloud computing to accelerate GenAI adoption in healthcare with Microsoft AI

CIO

This alliance can create a tailored package of ready-to-use, scalable infrastructure; a battery of cloud services; in-depth security; health-care specific platforms; and AI expertise. Scalability: Computational power and massive data storage are critical for training and hosting GenAI large language models.

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Leveraging Microsoft AI: A game changer for manufacturing

CIO

Miniaturize AI models: Reducing model size reduces the computing resources needed to train and run it, speeds the model’s operations, and enables AI to be more widely distributed in the organization. Also, there are different ways to host the models on the edge, optimizing the needed storage and compute capacities of the edge device.

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Storage Made Easy with Amazon S3

Cloud That

Storage Classes. Any developer now has access to the same highly scalable, dependable, secure, quick, and affordable infrastructure that Amazon employs to power its extensive network of websites worldwide. – Amazon Simple Storage Service . Storage Classes . Introduction. Overview of S3. Conclusion. Introduction.

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