Some manufacturers are using single-channel memory to keep prices low - but it can have big repurcussions for performance.

Google TurboQuant reduces memory strain while maintaining accuracy across demanding workloads Vector compression reaches new efficiency levels without additional training requirements Key-value cache ...

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 ...

You can now download Gemma 4 models with quantization-aware training to reduce the amount of mobile memory required to 1GB.