Meta has released CacheLib 2026.05.25, its first update in two years, to combat the high DRAM memory costs driven by artificial intelligence. This open source cache engine allows the use of non-volatile memories as a cost-effective alternative, available on GitHub and CacheLib. The news comes at a critical time for data centers.
How the open source cache engine works 🛠️
CacheLib 2026 introduces native support for NAND flash and other non-volatile memories, reducing reliance on DRAM. Meta optimized the data replacement algorithm to prioritize frequent accesses, achieving significant hardware savings. The update includes security patches and compatibility with recent kernels. Developers can integrate it without modifying their existing applications, facilitating its adoption in AI infrastructures.
It was about time Meta thought about the wallet 💸
Finally, Meta remembers that DRAM doesn't grow on trees, although seeing their AI spending, they probably thought it did. Now, with CacheLib, they can use cheaper memories and stop crying over the electricity bill. Next, they'll ask us to recycle old DDR4 sticks for neural networks. Anything to avoid paying the DRAM premium.