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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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Making the shift from computation to cognition

CIO

Powerful genAI models often require substantial bandwidth for training and development. This might involve investing in high-performance computing (HPC) environments, enhancing data storage solutions to handle vast datasets, and upgrading network capabilities to ensure seamless data flow.

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

CIO

That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces. Advanced cooling options Liquid cooling has become the energy-efficient, scalable solution to AI systems’ high heat output. These include preconfigured settings for varying workloads and benchmarks.

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Malta’s energy storage tech to stabilize electricity grids reliant on renewables gets $50 million

TechCrunch

That’s why technologies coming from companies like Malta , an energy storage technology developer that just raised $50 million in new financing, are attracting attention and venture capital investment. Meanwhile its competitors are already supplying power from pretty massive storage projects.

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