Sponsored Feature: Computers are taking over our daily tasks. For big tech, this means an increase in IT workloads and an expansion of advanced use cases in areas like artificial intelligence and ...
A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.
Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.
How lossless data compression can reduce memory and power requirements. How ZeroPoint’s compression technology differs from the competition. One can never have enough memory, and one way to get more ...
Two broad categories of compression are currently in use. In lossy compression, data is intentionally discarded. As a result, the decompression of the data doesn't exactly match the original data.
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