Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Pinterest Engineering cut Apache Spark out-of-memory failures by 96% using improved observability, configuration tuning, and ...

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

Fine-tuning large language models in artificial intelligence is a computationally intensive process that typically requires significant resources, especially in terms of GPU power. However, by ...