Object storage specialist teams up with Nvidia to provide RAG-based chatbot capability for organisations that want to mine in-house information in an air-gapped large language model.
The growth of the Cloud Object Storage Market is driven by the exponential rise in unstructured data, increasing adoption of cloud-based services, and the need for scalable, cost-effective storage ...
Pure Storage Inc. today unveiled a series of technology updates spanning cyber resilience, hybrid cloud integration and artificial intelligence-driven data management as part of the Enterprise Data ...
Bunkers, bomb shelters, mines and mountains all play critical roles protecting against our latest existential threat: the terrifying prospect of data loss.
According to internet information statistics, the amount of data generated globally is expected to exceed 175ZB this year, with over 80% being unstructured or semi-structured data. At the same time, ...
Overview Learn the best programming languages for BCA students to stay industry-relevant.From C to Python, master fundamentals and modern technologies.Gain care ...
Core Electronics discuss five fantastic ways to harness the potential of the Pi 500 Plus. From building a portable media library to diving into retro gaming nostalgia, the Raspberry Pi 500+ proves its ...
Tech Xplore on MSN
Underground data fortresses: The nuclear bunkers, mines and mountains being transformed to protect data from attack
It's a sunny June day in southeast England. I'm driving along a quiet, rural road that stretches through the Kent countryside. The sun flashes through breaks in the hedgerow, offering glimpses of ...
We worked with AI (ChatGPT and Claude mostly) to spec an AI server to meet research grade standards for a two person lab. Our goal is to do AI research such as tuning LLMs, implementing LoRA/RAG ...
Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, here's a deep dive into the technology making the AI revolution possible.
Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to inference from the ground up.
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