Memory
We tested Intel’s new ‘200S Boost’ feature: 7% higher gaming performance thanks to memory overclocking, now covered by the warranty
According to documents shared with Tom’s Hardware by a source, Intel will announce a new “Intel 200S Boost” feature for its Arrow Lake processors tomorrow that’s designed to boost gaming performance by providing official warranty coverage for a subset of overclocking features, including memory overclocking. As you can see below, we have put the new…
How 3D NAND Shapes The Future Of AI Memory
– Advertisement – With AI’s data boom, powerful memory is becoming all the more necessary for next-gen computing. It is 3D NAND that can support this necessity with cryogenic tech. What is its future, and who is leading the market? NAND flash technology has been the primary solution for low-cost and large-density data storage applications…
RRAM: Non-volatile memory for high-performance embedded applications
Non-volatile memory is an important component in a wide range of high-performance embedded applications. Especially, many consumer, industrial, and medical applications need increased re-writability to support both more frequent code updates as well as increased data logging. These applications require greater memory density to store either a substantially larger code footprint and/or more extensive data…
Unified Memory vs RAM: What’s the Difference
RAM and memory are both the most crucial components of a PC. Your PC can’t perform to its optimal level if it doesn’t have compatible RAM. No operating system, be it a Mac, Linux, or Windows, can run properly without sufficient RAM. When it comes to PC storage, RAM and unified memory are preferred choices…
Raspberry Pi 5 16GB Review: Plenty of memory
We’ve already reviewed a $50 Raspberry Pi 5 with just 2GB of RAM; now we move to the other end of the scale and we have the new $120 Raspberry Pi 5 16GB model in for review. You may have just glanced over the price, so let’s make this clear. Yes, this is a Raspberry…
Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale
The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while maintaining or improving model performance. Traditional dense networks rely heavily on computationally expensive matrix operations to encode and store information. This reliance poses challenges when scaling these models for real-world applications that demand extensive knowledge…
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