DeepSeek is explicitly positioning V4 for agent-based systems. “DeepSeek-V4 is seamlessly integrated with leading AI agents ...

AMD finally delivers dual 3D V-Cache on Zen 5 with the 9950X3D2, but does twice the cache translate into real gains? We test ...

Your budget SSD only feels fast because a tiny SLC cache is hiding the painfully slow memory chips ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.

TL;DR: Google developed three AI compression algorithms-TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss-that reduce large language models' KV cache memory by at least six times without ...

For about four years now, AMD has offered special “X3D” variants of its high-end desktop processors with an extra 64MB of L3 cache attached, an addition that disproportionately benefits games. AMD ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

Google's (GOOG)(GOOGL) TurboQuant, a compression algorithm that optimally addresses the challenge of memory overhead in vector quantization, will likely lead to the usage of more intensive AI ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

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 ...