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#ai-workloads #vector-databases #enterprise-data-cloud #data-mobility #unstructured-data
DevOps
fromTechzine Global
2 days ago

Everpure brings ActiveCluster to file environments

Everpure expands its Enterprise Data Cloud platform with ActiveCluster for file environments, enabling seamless data movement between systems while maintaining availability and protecting unstructured data critical for AI applications.
fromComputerWeekly.com
4 months ago

What are the storage requirements for AI training and inference? | Computer Weekly

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of the suppliers, AI is well-developed and has a firm foothold among organisations of all sizes. But AI workloads place specific demands on IT infrastructure and on storage in particular. Data volumes can start big and then balloon, in particular during training phases as data is vectorised and checkpoints are created.
Artificial intelligence
Tech industry
fromComputerWeekly.com
5 months ago

Forget training, find your killer apps during AI inference | Computer Weekly

Most organizations will not train AI models in-house; they will focus on production inference, fine-tuning, data curation using RAG, vector databases, prompts, and co-pilots.
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