Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...
Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...
At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
There were a lot of reasons for developers to be stressed out at this year's Game Developers Conference. Layoffs at EA the day the event started put job insecurity in the air, generative AI's presence ...
This project is a microprocessor simulator with cache implementation. The microprocessor simulates instructions for a custom architecture created and used specifically for the CDA3100 course at FSU ...
Apple Inc. updated the MacBook Air and MacBook Pro, the company’s two main laptop computer lines, adding faster processors and raising prices as it copes with an industrywide memory crunch. the new ...
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